diff --git a/examples/open-sen2-analysis.ipynb b/examples/open-sen2-analysis.ipynb
index 47a80bb..b6b9ecd 100644
--- a/examples/open-sen2-analysis.ipynb
+++ b/examples/open-sen2-analysis.ipynb
@@ -26,9 +26,9 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "path = (\n",
-    "    \"s3://e05ab01a9d56408d82ac32d69a5aae2a:sample-data/tutorial_data/\"\n",
-    "    \"cpm_v253/S2A_MSIL2A_20240101T102431_N0510_R065_T32TNT_20240101T144052.zarr\"\n",
+    "url = (\n",
+    "    \"https://objectstore.eodc.eu:2222/e05ab01a9d56408d82ac32d69a5aae2a:202504-s02msil2a/15/products/cpm_v256/\"\n",
+    "    \"S2B_MSIL2A_20250415T142749_N0511_R139_T25WEV_20250415T181516.zarr\"\n",
     ")"
    ]
   },
@@ -415,7 +415,7 @@
        "Dimensions:      (x: 1830, y: 1830)\n",
        "Coordinates:\n",
        "  * x            (x) int64 15kB 500010 500070 500130 ... 609630 609690 609750\n",
-       "  * y            (y) int64 15kB 5300010 5299950 5299890 ... 5190330 5190270\n",
+       "  * y            (y) int64 15kB 8000010 7999950 7999890 ... 7890330 7890270\n",
        "    band         int64 8B ...\n",
        "    spatial_ref  int64 8B ...\n",
        "Data variables: (12/15)\n",
@@ -445,7 +445,8 @@
        "    planimetric_stability_assessment_from_AOCS:                              ...\n",
        "    product_quality_status:                                                  ...\n",
        "    reflectance_correction_factor_from_the_Sun-Earth_distance_variation_compu...\n",
-       "    spectral_band_of_reference:                                              ...</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-a6b8d9f2-eeba-4475-9cb0-a3e879a390d7' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-a6b8d9f2-eeba-4475-9cb0-a3e879a390d7' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>x</span>: 1830</li><li><span class='xr-has-index'>y</span>: 1830</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-a69429f3-03dc-434c-8af3-60b072c17619' class='xr-section-summary-in' type='checkbox'  checked><label for='section-a69429f3-03dc-434c-8af3-60b072c17619' class='xr-section-summary' >Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>500010 500070 ... 609690 609750</div><input id='attrs-adb93090-94d2-419b-9bb8-e11ea5bfc521' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-adb93090-94d2-419b-9bb8-e11ea5bfc521' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-62fb99f5-3aa9-4b7b-9784-3dbd3265e1e5' class='xr-var-data-in' type='checkbox'><label for='data-62fb99f5-3aa9-4b7b-9784-3dbd3265e1e5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([500010, 500070, 500130, ..., 609630, 609690, 609750])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>5300010 5299950 ... 5190330 5190270</div><input id='attrs-ffafeed9-2d04-4e9a-ae73-f560615cd5bb' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-ffafeed9-2d04-4e9a-ae73-f560615cd5bb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b46ce85b-1450-4799-8406-b2d726d29cd4' class='xr-var-data-in' type='checkbox'><label for='data-b46ce85b-1450-4799-8406-b2d726d29cd4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([5300010, 5299950, 5299890, ..., 5190390, 5190330, 5190270])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>band</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-3783fb73-ffc0-4ac2-ad5c-93b7d7195c1f' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-3783fb73-ffc0-4ac2-ad5c-93b7d7195c1f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1219c60b-b7fe-414a-953e-49d3df5e4b8e' class='xr-var-data-in' type='checkbox'><label for='data-1219c60b-b7fe-414a-953e-49d3df5e4b8e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=int64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>spatial_ref</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-32a1dcf9-b8f5-4e88-a282-07522b3a709b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-32a1dcf9-b8f5-4e88-a282-07522b3a709b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-60e7f986-5a20-4b4a-99ee-fafe195b4635' class='xr-var-data-in' type='checkbox'><label for='data-60e7f986-5a20-4b4a-99ee-fafe195b4635' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>crs_wkt :</span></dt><dd>PROJCRS[&quot;WGS 84 / UTM zone 32N&quot;,BASEGEOGCRS[&quot;WGS 84&quot;,ENSEMBLE[&quot;World Geodetic System 1984 ensemble&quot;,MEMBER[&quot;World Geodetic System 1984 (Transit)&quot;],MEMBER[&quot;World Geodetic System 1984 (G730)&quot;],MEMBER[&quot;World Geodetic System 1984 (G873)&quot;],MEMBER[&quot;World Geodetic System 1984 (G1150)&quot;],MEMBER[&quot;World Geodetic System 1984 (G1674)&quot;],MEMBER[&quot;World Geodetic System 1984 (G1762)&quot;],MEMBER[&quot;World Geodetic System 1984 (G2139)&quot;],MEMBER[&quot;World Geodetic System 1984 (G2296)&quot;],ELLIPSOID[&quot;WGS 84&quot;,6378137,298.257223563,LENGTHUNIT[&quot;metre&quot;,1]],ENSEMBLEACCURACY[2.0]],PRIMEM[&quot;Greenwich&quot;,0,ANGLEUNIT[&quot;degree&quot;,0.0174532925199433]],ID[&quot;EPSG&quot;,4326]],CONVERSION[&quot;UTM zone 32N&quot;,METHOD[&quot;Transverse Mercator&quot;,ID[&quot;EPSG&quot;,9807]],PARAMETER[&quot;Latitude of natural origin&quot;,0,ANGLEUNIT[&quot;degree&quot;,0.0174532925199433],ID[&quot;EPSG&quot;,8801]],PARAMETER[&quot;Longitude of natural origin&quot;,9,ANGLEUNIT[&quot;degree&quot;,0.0174532925199433],ID[&quot;EPSG&quot;,8802]],PARAMETER[&quot;Scale factor at natural origin&quot;,0.9996,SCALEUNIT[&quot;unity&quot;,1],ID[&quot;EPSG&quot;,8805]],PARAMETER[&quot;False easting&quot;,500000,LENGTHUNIT[&quot;metre&quot;,1],ID[&quot;EPSG&quot;,8806]],PARAMETER[&quot;False northing&quot;,0,LENGTHUNIT[&quot;metre&quot;,1],ID[&quot;EPSG&quot;,8807]]],CS[Cartesian,2],AXIS[&quot;(E)&quot;,east,ORDER[1],LENGTHUNIT[&quot;metre&quot;,1]],AXIS[&quot;(N)&quot;,north,ORDER[2],LENGTHUNIT[&quot;metre&quot;,1]],USAGE[SCOPE[&quot;Navigation and medium accuracy spatial referencing.&quot;],AREA[&quot;Between 6°E and 12°E, northern hemisphere between equator and 84°N, onshore and offshore. Algeria. Austria. Cameroon. Denmark. Equatorial Guinea. France. Gabon. Germany. Italy. Libya. Liechtenstein. Monaco. Netherlands. Niger. Nigeria. Norway. Sao Tome and Principe. Svalbard. Sweden. Switzerland. Tunisia. Vatican City State.&quot;],BBOX[0,6,84,12]],ID[&quot;EPSG&quot;,32632]]</dd><dt><span>semi_major_axis :</span></dt><dd>6378137.0</dd><dt><span>semi_minor_axis :</span></dt><dd>6356752.314245179</dd><dt><span>inverse_flattening :</span></dt><dd>298.257223563</dd><dt><span>reference_ellipsoid_name :</span></dt><dd>WGS 84</dd><dt><span>longitude_of_prime_meridian :</span></dt><dd>0.0</dd><dt><span>prime_meridian_name :</span></dt><dd>Greenwich</dd><dt><span>geographic_crs_name :</span></dt><dd>WGS 84</dd><dt><span>horizontal_datum_name :</span></dt><dd>World Geodetic System 1984 ensemble</dd><dt><span>projected_crs_name :</span></dt><dd>WGS 84 / UTM zone 32N</dd><dt><span>grid_mapping_name :</span></dt><dd>transverse_mercator</dd><dt><span>latitude_of_projection_origin :</span></dt><dd>0.0</dd><dt><span>longitude_of_central_meridian :</span></dt><dd>9.0</dd><dt><span>false_easting :</span></dt><dd>500000.0</dd><dt><span>false_northing :</span></dt><dd>0.0</dd><dt><span>scale_factor_at_central_meridian :</span></dt><dd>0.9996</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=int64]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-77708636-a361-45b2-8144-aa849d8f5f21' class='xr-section-summary-in' type='checkbox'  ><label for='section-77708636-a361-45b2-8144-aa849d8f5f21' class='xr-section-summary' >Data variables: <span>(15)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>b01</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(305, 305), meta=np.ndarray&gt;</div><input id='attrs-e2c0ebf1-c5a2-4897-b046-5b1209d849d0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e2c0ebf1-c5a2-4897-b046-5b1209d849d0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-83292444-9f80-442b-9798-04ac293a4e2e' class='xr-var-data-in' type='checkbox'><label for='data-83292444-9f80-442b-9798-04ac293a4e2e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;add_offset&#x27;: -0.1, &#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;fill_value&#x27;: 0, &#x27;scale_factor&#x27;: 0.0001, &#x27;units&#x27;: &#x27;digital_counts&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u2</dd><dt><span>fill_value :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>BOA reflectance from MSI acquisition at spectral band b01 442.7 nm</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 5190240.0, 609780.0, 5300040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32632</dd><dt><span>proj:shape :</span></dt><dd>[1830, 1830]</dd><dt><span>proj:transform :</span></dt><dd>[60.0, 0.0, 499980.0, 0.0, -60.0, 5300040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 32N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,9],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32632&quot;]]</dd><dt><span>units :</span></dt><dd>digital_counts</dd><dt><span>valid_max :</span></dt><dd>65535</dd><dt><span>valid_min :</span></dt><dd>1</dd><dt><span>grid_mapping :</span></dt><dd>spatial_ref</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    spectral_band_of_reference:                                              ...</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-6897b3b5-2150-4cef-b11a-08a7b112a9c8' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-6897b3b5-2150-4cef-b11a-08a7b112a9c8' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>x</span>: 1830</li><li><span class='xr-has-index'>y</span>: 1830</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-f4f56a54-6a5b-43c0-9bfd-cdda8582d3d7' class='xr-section-summary-in' type='checkbox'  checked><label for='section-f4f56a54-6a5b-43c0-9bfd-cdda8582d3d7' class='xr-section-summary' >Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>500010 500070 ... 609690 609750</div><input id='attrs-4277949c-23ce-4f35-a5a8-1320abe334b1' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-4277949c-23ce-4f35-a5a8-1320abe334b1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2acee340-3c16-46ae-95f8-80e2ee09fdb1' class='xr-var-data-in' type='checkbox'><label for='data-2acee340-3c16-46ae-95f8-80e2ee09fdb1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([500010, 500070, 500130, ..., 609630, 609690, 609750], shape=(1830,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>8000010 7999950 ... 7890330 7890270</div><input id='attrs-bf8629f8-5e70-42b3-9a5a-b454bd05b4d8' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-bf8629f8-5e70-42b3-9a5a-b454bd05b4d8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d80dd70d-966e-4ce5-88cd-aef41dec6f48' class='xr-var-data-in' type='checkbox'><label for='data-d80dd70d-966e-4ce5-88cd-aef41dec6f48' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([8000010, 7999950, 7999890, ..., 7890390, 7890330, 7890270],\n",
+       "      shape=(1830,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>band</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-761dbf67-1e9f-4dbc-bdf6-03a33acd2ede' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-761dbf67-1e9f-4dbc-bdf6-03a33acd2ede' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-aa78c897-97d4-49d1-838e-174b8d1ca0b7' class='xr-var-data-in' type='checkbox'><label for='data-aa78c897-97d4-49d1-838e-174b8d1ca0b7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=int64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>spatial_ref</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-34cedb60-edd1-4b23-bcab-e5cbcc735cd9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-34cedb60-edd1-4b23-bcab-e5cbcc735cd9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9bfe454d-1230-48bf-8193-e986433dfe5d' class='xr-var-data-in' type='checkbox'><label for='data-9bfe454d-1230-48bf-8193-e986433dfe5d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>crs_wkt :</span></dt><dd>PROJCRS[&quot;WGS 84 / UTM zone 25N&quot;,BASEGEOGCRS[&quot;WGS 84&quot;,ENSEMBLE[&quot;World Geodetic System 1984 ensemble&quot;,MEMBER[&quot;World Geodetic System 1984 (Transit)&quot;],MEMBER[&quot;World Geodetic System 1984 (G730)&quot;],MEMBER[&quot;World Geodetic System 1984 (G873)&quot;],MEMBER[&quot;World Geodetic System 1984 (G1150)&quot;],MEMBER[&quot;World Geodetic System 1984 (G1674)&quot;],MEMBER[&quot;World Geodetic System 1984 (G1762)&quot;],MEMBER[&quot;World Geodetic System 1984 (G2139)&quot;],MEMBER[&quot;World Geodetic System 1984 (G2296)&quot;],ELLIPSOID[&quot;WGS 84&quot;,6378137,298.257223563,LENGTHUNIT[&quot;metre&quot;,1]],ENSEMBLEACCURACY[2.0]],PRIMEM[&quot;Greenwich&quot;,0,ANGLEUNIT[&quot;degree&quot;,0.0174532925199433]],ID[&quot;EPSG&quot;,4326]],CONVERSION[&quot;UTM zone 25N&quot;,METHOD[&quot;Transverse Mercator&quot;,ID[&quot;EPSG&quot;,9807]],PARAMETER[&quot;Latitude of natural origin&quot;,0,ANGLEUNIT[&quot;degree&quot;,0.0174532925199433],ID[&quot;EPSG&quot;,8801]],PARAMETER[&quot;Longitude of natural origin&quot;,-33,ANGLEUNIT[&quot;degree&quot;,0.0174532925199433],ID[&quot;EPSG&quot;,8802]],PARAMETER[&quot;Scale factor at natural origin&quot;,0.9996,SCALEUNIT[&quot;unity&quot;,1],ID[&quot;EPSG&quot;,8805]],PARAMETER[&quot;False easting&quot;,500000,LENGTHUNIT[&quot;metre&quot;,1],ID[&quot;EPSG&quot;,8806]],PARAMETER[&quot;False northing&quot;,0,LENGTHUNIT[&quot;metre&quot;,1],ID[&quot;EPSG&quot;,8807]]],CS[Cartesian,2],AXIS[&quot;(E)&quot;,east,ORDER[1],LENGTHUNIT[&quot;metre&quot;,1]],AXIS[&quot;(N)&quot;,north,ORDER[2],LENGTHUNIT[&quot;metre&quot;,1]],USAGE[SCOPE[&quot;Navigation and medium accuracy spatial referencing.&quot;],AREA[&quot;Between 36°W and 30°W, northern hemisphere between equator and 84°N, onshore and offshore. Greenland.&quot;],BBOX[0,-36,84,-30]],ID[&quot;EPSG&quot;,32625]]</dd><dt><span>semi_major_axis :</span></dt><dd>6378137.0</dd><dt><span>semi_minor_axis :</span></dt><dd>6356752.314245179</dd><dt><span>inverse_flattening :</span></dt><dd>298.257223563</dd><dt><span>reference_ellipsoid_name :</span></dt><dd>WGS 84</dd><dt><span>longitude_of_prime_meridian :</span></dt><dd>0.0</dd><dt><span>prime_meridian_name :</span></dt><dd>Greenwich</dd><dt><span>geographic_crs_name :</span></dt><dd>WGS 84</dd><dt><span>horizontal_datum_name :</span></dt><dd>World Geodetic System 1984 ensemble</dd><dt><span>projected_crs_name :</span></dt><dd>WGS 84 / UTM zone 25N</dd><dt><span>grid_mapping_name :</span></dt><dd>transverse_mercator</dd><dt><span>latitude_of_projection_origin :</span></dt><dd>0.0</dd><dt><span>longitude_of_central_meridian :</span></dt><dd>-33.0</dd><dt><span>false_easting :</span></dt><dd>500000.0</dd><dt><span>false_northing :</span></dt><dd>0.0</dd><dt><span>scale_factor_at_central_meridian :</span></dt><dd>0.9996</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=int64]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-bd4c63e0-e0de-4c7a-8c71-159379ee5b45' class='xr-section-summary-in' type='checkbox'  ><label for='section-bd4c63e0-e0de-4c7a-8c71-159379ee5b45' class='xr-section-summary' >Data variables: <span>(15)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>b01</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(305, 305), meta=np.ndarray&gt;</div><input id='attrs-24299b24-9584-4b2f-8c7c-3c6e7ae10936' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-24299b24-9584-4b2f-8c7c-3c6e7ae10936' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4dba7173-5b59-4cb8-8699-b9d7d8180c0d' class='xr-var-data-in' type='checkbox'><label for='data-4dba7173-5b59-4cb8-8699-b9d7d8180c0d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;add_offset&#x27;: -0.1, &#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;dtype&#x27;: &#x27;&lt;u2&#x27;, &#x27;fill_value&#x27;: 0, &#x27;long_name&#x27;: &#x27;BOA reflectance from MSI acquisition at spectral band b01 442.3 nm&#x27;, &#x27;scale_factor&#x27;: 0.0001, &#x27;units&#x27;: &#x27;digital_counts&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u2</dd><dt><span>fill_value :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>BOA reflectance from MSI acquisition at spectral band b01 442.3 nm</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 7890240.0, 609780.0, 8000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32625</dd><dt><span>proj:shape :</span></dt><dd>[1830, 1830]</dd><dt><span>proj:transform :</span></dt><dd>[60.0, 0.0, 499980.0, 0.0, -60.0, 8000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 25N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,-33],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32625&quot;]]</dd><dt><span>units :</span></dt><dd>digital_counts</dd><dt><span>valid_max :</span></dt><dd>65535</dd><dt><span>valid_min :</span></dt><dd>1</dd><dt><span>grid_mapping :</span></dt><dd>spatial_ref</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -510,7 +511,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b02</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(305, 305), meta=np.ndarray&gt;</div><input id='attrs-db7df123-4eea-4ebc-8c51-ee44c75aed84' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-db7df123-4eea-4ebc-8c51-ee44c75aed84' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f69d2a3c-092d-4ec1-91f4-9ed74da5da81' class='xr-var-data-in' type='checkbox'><label for='data-f69d2a3c-092d-4ec1-91f4-9ed74da5da81' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;add_offset&#x27;: -0.1, &#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;fill_value&#x27;: 0, &#x27;scale_factor&#x27;: 0.0001, &#x27;units&#x27;: &#x27;digital_counts&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u2</dd><dt><span>fill_value :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>BOA reflectance from MSI acquisition at spectral band b02 492.7 nm</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 5190240.0, 609780.0, 5300040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32632</dd><dt><span>proj:shape :</span></dt><dd>[1830, 1830]</dd><dt><span>proj:transform :</span></dt><dd>[60.0, 0.0, 499980.0, 0.0, -60.0, 5300040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 32N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,9],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32632&quot;]]</dd><dt><span>units :</span></dt><dd>digital_counts</dd><dt><span>valid_max :</span></dt><dd>65535</dd><dt><span>valid_min :</span></dt><dd>1</dd><dt><span>grid_mapping :</span></dt><dd>spatial_ref</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b02</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(305, 305), meta=np.ndarray&gt;</div><input id='attrs-25009601-24c7-4cfa-86d2-27a8235bd138' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-25009601-24c7-4cfa-86d2-27a8235bd138' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5d124545-4d33-4ef8-81c1-cbf055a0be5e' class='xr-var-data-in' type='checkbox'><label for='data-5d124545-4d33-4ef8-81c1-cbf055a0be5e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;add_offset&#x27;: -0.1, &#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;dtype&#x27;: &#x27;&lt;u2&#x27;, &#x27;fill_value&#x27;: 0, &#x27;long_name&#x27;: &#x27;BOA reflectance from MSI acquisition at spectral band b02 492.3 nm&#x27;, &#x27;scale_factor&#x27;: 0.0001, &#x27;units&#x27;: &#x27;digital_counts&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u2</dd><dt><span>fill_value :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>BOA reflectance from MSI acquisition at spectral band b02 492.3 nm</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 7890240.0, 609780.0, 8000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32625</dd><dt><span>proj:shape :</span></dt><dd>[1830, 1830]</dd><dt><span>proj:transform :</span></dt><dd>[60.0, 0.0, 499980.0, 0.0, -60.0, 8000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 25N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,-33],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32625&quot;]]</dd><dt><span>units :</span></dt><dd>digital_counts</dd><dt><span>valid_max :</span></dt><dd>65535</dd><dt><span>valid_min :</span></dt><dd>1</dd><dt><span>grid_mapping :</span></dt><dd>spatial_ref</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -575,7 +576,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b03</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(305, 305), meta=np.ndarray&gt;</div><input id='attrs-7e7f7ba3-ac46-44ba-8719-9c181701cc8a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7e7f7ba3-ac46-44ba-8719-9c181701cc8a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1299e19a-939d-4e10-a70a-ec5b25ec26bd' class='xr-var-data-in' type='checkbox'><label for='data-1299e19a-939d-4e10-a70a-ec5b25ec26bd' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;add_offset&#x27;: -0.1, &#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;fill_value&#x27;: 0, &#x27;scale_factor&#x27;: 0.0001, &#x27;units&#x27;: &#x27;digital_counts&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u2</dd><dt><span>fill_value :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>BOA reflectance from MSI acquisition at spectral band b03 559.8 nm</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 5190240.0, 609780.0, 5300040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32632</dd><dt><span>proj:shape :</span></dt><dd>[1830, 1830]</dd><dt><span>proj:transform :</span></dt><dd>[60.0, 0.0, 499980.0, 0.0, -60.0, 5300040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 32N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,9],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32632&quot;]]</dd><dt><span>units :</span></dt><dd>digital_counts</dd><dt><span>valid_max :</span></dt><dd>65535</dd><dt><span>valid_min :</span></dt><dd>1</dd><dt><span>grid_mapping :</span></dt><dd>spatial_ref</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b03</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(305, 305), meta=np.ndarray&gt;</div><input id='attrs-36a09417-aa52-4c6c-a240-a541453f1fcb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-36a09417-aa52-4c6c-a240-a541453f1fcb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1ab76ce0-8b45-401a-a06a-2e8e1e43187c' class='xr-var-data-in' type='checkbox'><label for='data-1ab76ce0-8b45-401a-a06a-2e8e1e43187c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;add_offset&#x27;: -0.1, &#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;dtype&#x27;: &#x27;&lt;u2&#x27;, &#x27;fill_value&#x27;: 0, &#x27;long_name&#x27;: &#x27;BOA reflectance from MSI acquisition at spectral band b03 559.0 nm&#x27;, &#x27;scale_factor&#x27;: 0.0001, &#x27;units&#x27;: &#x27;digital_counts&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u2</dd><dt><span>fill_value :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>BOA reflectance from MSI acquisition at spectral band b03 559.0 nm</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 7890240.0, 609780.0, 8000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32625</dd><dt><span>proj:shape :</span></dt><dd>[1830, 1830]</dd><dt><span>proj:transform :</span></dt><dd>[60.0, 0.0, 499980.0, 0.0, -60.0, 8000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 25N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,-33],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32625&quot;]]</dd><dt><span>units :</span></dt><dd>digital_counts</dd><dt><span>valid_max :</span></dt><dd>65535</dd><dt><span>valid_min :</span></dt><dd>1</dd><dt><span>grid_mapping :</span></dt><dd>spatial_ref</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -640,7 +641,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b04</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(305, 305), meta=np.ndarray&gt;</div><input id='attrs-0f831f61-ce3b-4ef3-a38e-59d53b03e39c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0f831f61-ce3b-4ef3-a38e-59d53b03e39c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f561a86d-c9fa-4d8d-9ead-53049f2fe7e6' class='xr-var-data-in' type='checkbox'><label for='data-f561a86d-c9fa-4d8d-9ead-53049f2fe7e6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;add_offset&#x27;: -0.1, &#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;fill_value&#x27;: 0, &#x27;scale_factor&#x27;: 0.0001, &#x27;units&#x27;: &#x27;digital_counts&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u2</dd><dt><span>fill_value :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>BOA reflectance from MSI acquisition at spectral band b04 664.6 nm</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 5190240.0, 609780.0, 5300040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32632</dd><dt><span>proj:shape :</span></dt><dd>[1830, 1830]</dd><dt><span>proj:transform :</span></dt><dd>[60.0, 0.0, 499980.0, 0.0, -60.0, 5300040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 32N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,9],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32632&quot;]]</dd><dt><span>units :</span></dt><dd>digital_counts</dd><dt><span>valid_max :</span></dt><dd>65535</dd><dt><span>valid_min :</span></dt><dd>1</dd><dt><span>grid_mapping :</span></dt><dd>spatial_ref</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b04</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(305, 305), meta=np.ndarray&gt;</div><input id='attrs-1e276b76-c6c6-499a-b8c1-ea3e95bfa7fc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1e276b76-c6c6-499a-b8c1-ea3e95bfa7fc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-29919926-f6c6-422e-9ca6-247d9790211a' class='xr-var-data-in' type='checkbox'><label for='data-29919926-f6c6-422e-9ca6-247d9790211a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;add_offset&#x27;: -0.1, &#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;dtype&#x27;: &#x27;&lt;u2&#x27;, &#x27;fill_value&#x27;: 0, &#x27;long_name&#x27;: &#x27;BOA reflectance from MSI acquisition at spectral band b04 665.0 nm&#x27;, &#x27;scale_factor&#x27;: 0.0001, &#x27;units&#x27;: &#x27;digital_counts&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u2</dd><dt><span>fill_value :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>BOA reflectance from MSI acquisition at spectral band b04 665.0 nm</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 7890240.0, 609780.0, 8000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32625</dd><dt><span>proj:shape :</span></dt><dd>[1830, 1830]</dd><dt><span>proj:transform :</span></dt><dd>[60.0, 0.0, 499980.0, 0.0, -60.0, 8000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 25N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,-33],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32625&quot;]]</dd><dt><span>units :</span></dt><dd>digital_counts</dd><dt><span>valid_max :</span></dt><dd>65535</dd><dt><span>valid_min :</span></dt><dd>1</dd><dt><span>grid_mapping :</span></dt><dd>spatial_ref</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -705,7 +706,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b05</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(305, 305), meta=np.ndarray&gt;</div><input id='attrs-fb69638d-55fb-432a-801c-a9cea9246ac8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fb69638d-55fb-432a-801c-a9cea9246ac8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4bbb0b94-a14c-4b6b-be10-dc5d93a23168' class='xr-var-data-in' type='checkbox'><label for='data-4bbb0b94-a14c-4b6b-be10-dc5d93a23168' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;add_offset&#x27;: -0.1, &#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;fill_value&#x27;: 0, &#x27;scale_factor&#x27;: 0.0001, &#x27;units&#x27;: &#x27;digital_counts&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u2</dd><dt><span>fill_value :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>BOA reflectance from MSI acquisition at spectral band b05 704.1 nm</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 5190240.0, 609780.0, 5300040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32632</dd><dt><span>proj:shape :</span></dt><dd>[1830, 1830]</dd><dt><span>proj:transform :</span></dt><dd>[60.0, 0.0, 499980.0, 0.0, -60.0, 5300040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 32N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,9],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32632&quot;]]</dd><dt><span>units :</span></dt><dd>digital_counts</dd><dt><span>valid_max :</span></dt><dd>65535</dd><dt><span>valid_min :</span></dt><dd>1</dd><dt><span>grid_mapping :</span></dt><dd>spatial_ref</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b05</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(305, 305), meta=np.ndarray&gt;</div><input id='attrs-7c19da91-bd8e-44e7-a7ec-7589fbe3727a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7c19da91-bd8e-44e7-a7ec-7589fbe3727a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b4c11c15-69d0-4b9c-9d3a-bab9cd6d6525' class='xr-var-data-in' type='checkbox'><label for='data-b4c11c15-69d0-4b9c-9d3a-bab9cd6d6525' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;add_offset&#x27;: -0.1, &#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;dtype&#x27;: &#x27;&lt;u2&#x27;, &#x27;fill_value&#x27;: 0, &#x27;long_name&#x27;: &#x27;BOA reflectance from MSI acquisition at spectral band b05 703.8 nm&#x27;, &#x27;scale_factor&#x27;: 0.0001, &#x27;units&#x27;: &#x27;digital_counts&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u2</dd><dt><span>fill_value :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>BOA reflectance from MSI acquisition at spectral band b05 703.8 nm</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 7890240.0, 609780.0, 8000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32625</dd><dt><span>proj:shape :</span></dt><dd>[1830, 1830]</dd><dt><span>proj:transform :</span></dt><dd>[60.0, 0.0, 499980.0, 0.0, -60.0, 8000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 25N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,-33],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32625&quot;]]</dd><dt><span>units :</span></dt><dd>digital_counts</dd><dt><span>valid_max :</span></dt><dd>65535</dd><dt><span>valid_min :</span></dt><dd>1</dd><dt><span>grid_mapping :</span></dt><dd>spatial_ref</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -770,7 +771,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b06</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(305, 305), meta=np.ndarray&gt;</div><input id='attrs-485e9695-e9f4-4e83-b130-6497a7ac5bce' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-485e9695-e9f4-4e83-b130-6497a7ac5bce' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-83bbba6a-32be-4171-a927-11fe30d6a34f' class='xr-var-data-in' type='checkbox'><label for='data-83bbba6a-32be-4171-a927-11fe30d6a34f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;add_offset&#x27;: -0.1, &#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;fill_value&#x27;: 0, &#x27;scale_factor&#x27;: 0.0001, &#x27;units&#x27;: &#x27;digital_counts&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u2</dd><dt><span>fill_value :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>BOA reflectance from MSI acquisition at spectral band b06 740.5 nm</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 5190240.0, 609780.0, 5300040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32632</dd><dt><span>proj:shape :</span></dt><dd>[1830, 1830]</dd><dt><span>proj:transform :</span></dt><dd>[60.0, 0.0, 499980.0, 0.0, -60.0, 5300040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 32N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,9],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32632&quot;]]</dd><dt><span>units :</span></dt><dd>digital_counts</dd><dt><span>valid_max :</span></dt><dd>65535</dd><dt><span>valid_min :</span></dt><dd>1</dd><dt><span>grid_mapping :</span></dt><dd>spatial_ref</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b06</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(305, 305), meta=np.ndarray&gt;</div><input id='attrs-3cb68dcd-bb4a-476c-b9c7-37a1da420b95' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3cb68dcd-bb4a-476c-b9c7-37a1da420b95' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f6830dd7-6c12-46f0-a14c-6220b60bd0b0' class='xr-var-data-in' type='checkbox'><label for='data-f6830dd7-6c12-46f0-a14c-6220b60bd0b0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;add_offset&#x27;: -0.1, &#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;dtype&#x27;: &#x27;&lt;u2&#x27;, &#x27;fill_value&#x27;: 0, &#x27;long_name&#x27;: &#x27;BOA reflectance from MSI acquisition at spectral band b06 739.1 nm&#x27;, &#x27;scale_factor&#x27;: 0.0001, &#x27;units&#x27;: &#x27;digital_counts&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u2</dd><dt><span>fill_value :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>BOA reflectance from MSI acquisition at spectral band b06 739.1 nm</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 7890240.0, 609780.0, 8000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32625</dd><dt><span>proj:shape :</span></dt><dd>[1830, 1830]</dd><dt><span>proj:transform :</span></dt><dd>[60.0, 0.0, 499980.0, 0.0, -60.0, 8000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 25N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,-33],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32625&quot;]]</dd><dt><span>units :</span></dt><dd>digital_counts</dd><dt><span>valid_max :</span></dt><dd>65535</dd><dt><span>valid_min :</span></dt><dd>1</dd><dt><span>grid_mapping :</span></dt><dd>spatial_ref</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -835,7 +836,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b07</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(305, 305), meta=np.ndarray&gt;</div><input id='attrs-840f4e6d-78fd-432b-8f09-2151239c9708' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-840f4e6d-78fd-432b-8f09-2151239c9708' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d7a7f3b9-fe85-4796-9b1e-b6ae657cbd25' class='xr-var-data-in' type='checkbox'><label for='data-d7a7f3b9-fe85-4796-9b1e-b6ae657cbd25' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;add_offset&#x27;: -0.1, &#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;fill_value&#x27;: 0, &#x27;scale_factor&#x27;: 0.0001, &#x27;units&#x27;: &#x27;digital_counts&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u2</dd><dt><span>fill_value :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>BOA reflectance from MSI acquisition at spectral band b07 782.8 nm</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 5190240.0, 609780.0, 5300040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32632</dd><dt><span>proj:shape :</span></dt><dd>[1830, 1830]</dd><dt><span>proj:transform :</span></dt><dd>[60.0, 0.0, 499980.0, 0.0, -60.0, 5300040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 32N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,9],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32632&quot;]]</dd><dt><span>units :</span></dt><dd>digital_counts</dd><dt><span>valid_max :</span></dt><dd>65535</dd><dt><span>valid_min :</span></dt><dd>1</dd><dt><span>grid_mapping :</span></dt><dd>spatial_ref</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b07</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(305, 305), meta=np.ndarray&gt;</div><input id='attrs-221baa6e-5478-49a5-bb8b-3669919082f5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-221baa6e-5478-49a5-bb8b-3669919082f5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3f4aec30-082e-43c9-9fcc-614454fe7a2c' class='xr-var-data-in' type='checkbox'><label for='data-3f4aec30-082e-43c9-9fcc-614454fe7a2c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;add_offset&#x27;: -0.1, &#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;dtype&#x27;: &#x27;&lt;u2&#x27;, &#x27;fill_value&#x27;: 0, &#x27;long_name&#x27;: &#x27;BOA reflectance from MSI acquisition at spectral band b07 779.7 nm&#x27;, &#x27;scale_factor&#x27;: 0.0001, &#x27;units&#x27;: &#x27;digital_counts&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u2</dd><dt><span>fill_value :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>BOA reflectance from MSI acquisition at spectral band b07 779.7 nm</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 7890240.0, 609780.0, 8000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32625</dd><dt><span>proj:shape :</span></dt><dd>[1830, 1830]</dd><dt><span>proj:transform :</span></dt><dd>[60.0, 0.0, 499980.0, 0.0, -60.0, 8000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 25N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,-33],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32625&quot;]]</dd><dt><span>units :</span></dt><dd>digital_counts</dd><dt><span>valid_max :</span></dt><dd>65535</dd><dt><span>valid_min :</span></dt><dd>1</dd><dt><span>grid_mapping :</span></dt><dd>spatial_ref</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -900,7 +901,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b08</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(305, 305), meta=np.ndarray&gt;</div><input id='attrs-bdc8a1ab-3219-4e8a-933d-93892a45aaf7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bdc8a1ab-3219-4e8a-933d-93892a45aaf7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-94f688a2-54cb-4dc1-8c84-8b5ddadb6000' class='xr-var-data-in' type='checkbox'><label for='data-94f688a2-54cb-4dc1-8c84-8b5ddadb6000' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;add_offset&#x27;: -0.1, &#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;fill_value&#x27;: 0, &#x27;scale_factor&#x27;: 0.0001, &#x27;units&#x27;: &#x27;digital_counts&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u2</dd><dt><span>fill_value :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>BOA reflectance from MSI acquisition at spectral band b08 832.8 nm</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 5190240.0, 609780.0, 5300040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32632</dd><dt><span>proj:shape :</span></dt><dd>[10980, 10980]</dd><dt><span>proj:transform :</span></dt><dd>[10.0, 0.0, 499980.0, 0.0, -10.0, 5300040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 32N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,9],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32632&quot;]]</dd><dt><span>units :</span></dt><dd>digital_counts</dd><dt><span>valid_max :</span></dt><dd>65535</dd><dt><span>valid_min :</span></dt><dd>1</dd><dt><span>grid_mapping :</span></dt><dd>spatial_ref</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b08</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(305, 305), meta=np.ndarray&gt;</div><input id='attrs-e9c41184-77c6-4267-896f-54860b960749' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e9c41184-77c6-4267-896f-54860b960749' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-17eb650f-ddbd-4144-a7d2-4adba2900424' class='xr-var-data-in' type='checkbox'><label for='data-17eb650f-ddbd-4144-a7d2-4adba2900424' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;add_offset&#x27;: -0.1, &#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;dtype&#x27;: &#x27;&lt;u2&#x27;, &#x27;fill_value&#x27;: 0, &#x27;long_name&#x27;: &#x27;BOA reflectance from MSI acquisition at spectral band b08 833.0 nm&#x27;, &#x27;scale_factor&#x27;: 0.0001, &#x27;units&#x27;: &#x27;digital_counts&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u2</dd><dt><span>fill_value :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>BOA reflectance from MSI acquisition at spectral band b08 833.0 nm</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 7890240.0, 609780.0, 8000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32625</dd><dt><span>proj:shape :</span></dt><dd>[10980, 10980]</dd><dt><span>proj:transform :</span></dt><dd>[10.0, 0.0, 499980.0, 0.0, -10.0, 8000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 25N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,-33],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32625&quot;]]</dd><dt><span>units :</span></dt><dd>digital_counts</dd><dt><span>valid_max :</span></dt><dd>65535</dd><dt><span>valid_min :</span></dt><dd>1</dd><dt><span>history :</span></dt><dd>Down-sampling by factors x=6 and y=6 using aggregation method &#x27;mean&#x27;.</dd><dt><span>grid_mapping :</span></dt><dd>spatial_ref</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -965,7 +966,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b09</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(305, 305), meta=np.ndarray&gt;</div><input id='attrs-8ac2e595-23c2-45ff-aa02-a0b5cefe050c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8ac2e595-23c2-45ff-aa02-a0b5cefe050c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-02aa02fd-74de-4c78-8b8d-c52035461c20' class='xr-var-data-in' type='checkbox'><label for='data-02aa02fd-74de-4c78-8b8d-c52035461c20' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;add_offset&#x27;: -0.1, &#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;fill_value&#x27;: 0, &#x27;scale_factor&#x27;: 0.0001, &#x27;units&#x27;: &#x27;digital_counts&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u2</dd><dt><span>fill_value :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>BOA reflectance from MSI acquisition at spectral band b09 945.1 nm</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 5190240.0, 609780.0, 5300040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32632</dd><dt><span>proj:shape :</span></dt><dd>[1830, 1830]</dd><dt><span>proj:transform :</span></dt><dd>[60.0, 0.0, 499980.0, 0.0, -60.0, 5300040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 32N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,9],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32632&quot;]]</dd><dt><span>units :</span></dt><dd>digital_counts</dd><dt><span>valid_max :</span></dt><dd>65535</dd><dt><span>valid_min :</span></dt><dd>1</dd><dt><span>grid_mapping :</span></dt><dd>spatial_ref</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b09</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(305, 305), meta=np.ndarray&gt;</div><input id='attrs-438f7bad-9eaa-4f30-9f1d-8d9a0009a02c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-438f7bad-9eaa-4f30-9f1d-8d9a0009a02c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-52656306-c102-498f-8472-5aa34e0969ae' class='xr-var-data-in' type='checkbox'><label for='data-52656306-c102-498f-8472-5aa34e0969ae' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;add_offset&#x27;: -0.1, &#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;dtype&#x27;: &#x27;&lt;u2&#x27;, &#x27;fill_value&#x27;: 0, &#x27;long_name&#x27;: &#x27;BOA reflectance from MSI acquisition at spectral band b09 943.2 nm&#x27;, &#x27;scale_factor&#x27;: 0.0001, &#x27;units&#x27;: &#x27;digital_counts&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u2</dd><dt><span>fill_value :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>BOA reflectance from MSI acquisition at spectral band b09 943.2 nm</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 7890240.0, 609780.0, 8000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32625</dd><dt><span>proj:shape :</span></dt><dd>[1830, 1830]</dd><dt><span>proj:transform :</span></dt><dd>[60.0, 0.0, 499980.0, 0.0, -60.0, 8000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 25N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,-33],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32625&quot;]]</dd><dt><span>units :</span></dt><dd>digital_counts</dd><dt><span>valid_max :</span></dt><dd>65535</dd><dt><span>valid_min :</span></dt><dd>1</dd><dt><span>grid_mapping :</span></dt><dd>spatial_ref</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -1030,7 +1031,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b11</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(305, 305), meta=np.ndarray&gt;</div><input id='attrs-307a7b08-7dcb-4a7d-95ae-d0174907c1dc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-307a7b08-7dcb-4a7d-95ae-d0174907c1dc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d3174e12-308f-427e-97e7-4372dea2e37f' class='xr-var-data-in' type='checkbox'><label for='data-d3174e12-308f-427e-97e7-4372dea2e37f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;add_offset&#x27;: -0.1, &#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;fill_value&#x27;: 0, &#x27;scale_factor&#x27;: 0.0001, &#x27;units&#x27;: &#x27;digital_counts&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u2</dd><dt><span>fill_value :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>BOA reflectance from MSI acquisition at spectral band b11 1613.7 nm</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 5190240.0, 609780.0, 5300040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32632</dd><dt><span>proj:shape :</span></dt><dd>[1830, 1830]</dd><dt><span>proj:transform :</span></dt><dd>[60.0, 0.0, 499980.0, 0.0, -60.0, 5300040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 32N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,9],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32632&quot;]]</dd><dt><span>units :</span></dt><dd>digital_counts</dd><dt><span>valid_max :</span></dt><dd>65535</dd><dt><span>valid_min :</span></dt><dd>1</dd><dt><span>grid_mapping :</span></dt><dd>spatial_ref</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b11</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(305, 305), meta=np.ndarray&gt;</div><input id='attrs-751296a5-eafd-40ac-9c18-d584d11c71b5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-751296a5-eafd-40ac-9c18-d584d11c71b5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0b7849f0-ad88-48ab-8439-13e687c2f3be' class='xr-var-data-in' type='checkbox'><label for='data-0b7849f0-ad88-48ab-8439-13e687c2f3be' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;add_offset&#x27;: -0.1, &#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;dtype&#x27;: &#x27;&lt;u2&#x27;, &#x27;fill_value&#x27;: 0, &#x27;long_name&#x27;: &#x27;BOA reflectance from MSI acquisition at spectral band b11 1610.4 nm&#x27;, &#x27;scale_factor&#x27;: 0.0001, &#x27;units&#x27;: &#x27;digital_counts&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u2</dd><dt><span>fill_value :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>BOA reflectance from MSI acquisition at spectral band b11 1610.4 nm</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 7890240.0, 609780.0, 8000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32625</dd><dt><span>proj:shape :</span></dt><dd>[1830, 1830]</dd><dt><span>proj:transform :</span></dt><dd>[60.0, 0.0, 499980.0, 0.0, -60.0, 8000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 25N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,-33],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32625&quot;]]</dd><dt><span>units :</span></dt><dd>digital_counts</dd><dt><span>valid_max :</span></dt><dd>65535</dd><dt><span>valid_min :</span></dt><dd>1</dd><dt><span>grid_mapping :</span></dt><dd>spatial_ref</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -1095,7 +1096,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b12</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(305, 305), meta=np.ndarray&gt;</div><input id='attrs-dd07fcf1-371f-4e73-bcbc-9f62ba7d58b0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-dd07fcf1-371f-4e73-bcbc-9f62ba7d58b0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-eb87dbef-ef5c-4026-bdcb-5740eaab9800' class='xr-var-data-in' type='checkbox'><label for='data-eb87dbef-ef5c-4026-bdcb-5740eaab9800' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;add_offset&#x27;: -0.1, &#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;fill_value&#x27;: 0, &#x27;scale_factor&#x27;: 0.0001, &#x27;units&#x27;: &#x27;digital_counts&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u2</dd><dt><span>fill_value :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>BOA reflectance from MSI acquisition at spectral band b12 2202.4 nm</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 5190240.0, 609780.0, 5300040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32632</dd><dt><span>proj:shape :</span></dt><dd>[1830, 1830]</dd><dt><span>proj:transform :</span></dt><dd>[60.0, 0.0, 499980.0, 0.0, -60.0, 5300040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 32N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,9],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32632&quot;]]</dd><dt><span>units :</span></dt><dd>digital_counts</dd><dt><span>valid_max :</span></dt><dd>65535</dd><dt><span>valid_min :</span></dt><dd>1</dd><dt><span>grid_mapping :</span></dt><dd>spatial_ref</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b12</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(305, 305), meta=np.ndarray&gt;</div><input id='attrs-9eee09c5-c3df-4a55-8e1d-364054864ca8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9eee09c5-c3df-4a55-8e1d-364054864ca8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-782c916d-4749-440d-becd-23ff180bfed9' class='xr-var-data-in' type='checkbox'><label for='data-782c916d-4749-440d-becd-23ff180bfed9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;add_offset&#x27;: -0.1, &#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;dtype&#x27;: &#x27;&lt;u2&#x27;, &#x27;fill_value&#x27;: 0, &#x27;long_name&#x27;: &#x27;BOA reflectance from MSI acquisition at spectral band b12 2185.7 nm&#x27;, &#x27;scale_factor&#x27;: 0.0001, &#x27;units&#x27;: &#x27;digital_counts&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u2</dd><dt><span>fill_value :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>BOA reflectance from MSI acquisition at spectral band b12 2185.7 nm</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 7890240.0, 609780.0, 8000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32625</dd><dt><span>proj:shape :</span></dt><dd>[1830, 1830]</dd><dt><span>proj:transform :</span></dt><dd>[60.0, 0.0, 499980.0, 0.0, -60.0, 8000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 25N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,-33],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32625&quot;]]</dd><dt><span>units :</span></dt><dd>digital_counts</dd><dt><span>valid_max :</span></dt><dd>65535</dd><dt><span>valid_min :</span></dt><dd>1</dd><dt><span>grid_mapping :</span></dt><dd>spatial_ref</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -1160,7 +1161,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b8a</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(305, 305), meta=np.ndarray&gt;</div><input id='attrs-f13e0b11-9828-4c7c-9eef-49b8b9027991' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f13e0b11-9828-4c7c-9eef-49b8b9027991' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3b39f263-b810-459b-92df-931eae3b71fc' class='xr-var-data-in' type='checkbox'><label for='data-3b39f263-b810-459b-92df-931eae3b71fc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;add_offset&#x27;: -0.1, &#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;fill_value&#x27;: 0, &#x27;scale_factor&#x27;: 0.0001, &#x27;units&#x27;: &#x27;digital_counts&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u2</dd><dt><span>fill_value :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>BOA reflectance from MSI acquisition at spectral band b8a 864.7 nm</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 5190240.0, 609780.0, 5300040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32632</dd><dt><span>proj:shape :</span></dt><dd>[1830, 1830]</dd><dt><span>proj:transform :</span></dt><dd>[60.0, 0.0, 499980.0, 0.0, -60.0, 5300040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 32N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,9],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32632&quot;]]</dd><dt><span>units :</span></dt><dd>digital_counts</dd><dt><span>valid_max :</span></dt><dd>65535</dd><dt><span>valid_min :</span></dt><dd>1</dd><dt><span>grid_mapping :</span></dt><dd>spatial_ref</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b8a</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(305, 305), meta=np.ndarray&gt;</div><input id='attrs-05b80c21-cfd5-4448-b83c-e0cd7ac362fa' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-05b80c21-cfd5-4448-b83c-e0cd7ac362fa' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e9c72bad-1f45-4e53-9876-8a0d470eb75a' class='xr-var-data-in' type='checkbox'><label for='data-e9c72bad-1f45-4e53-9876-8a0d470eb75a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;add_offset&#x27;: -0.1, &#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;dtype&#x27;: &#x27;&lt;u2&#x27;, &#x27;fill_value&#x27;: 0, &#x27;long_name&#x27;: &#x27;BOA reflectance from MSI acquisition at spectral band b8a 864.0 nm&#x27;, &#x27;scale_factor&#x27;: 0.0001, &#x27;units&#x27;: &#x27;digital_counts&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u2</dd><dt><span>fill_value :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>BOA reflectance from MSI acquisition at spectral band b8a 864.0 nm</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 7890240.0, 609780.0, 8000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32625</dd><dt><span>proj:shape :</span></dt><dd>[1830, 1830]</dd><dt><span>proj:transform :</span></dt><dd>[60.0, 0.0, 499980.0, 0.0, -60.0, 8000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 25N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,-33],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32625&quot;]]</dd><dt><span>units :</span></dt><dd>digital_counts</dd><dt><span>valid_max :</span></dt><dd>65535</dd><dt><span>valid_min :</span></dt><dd>1</dd><dt><span>grid_mapping :</span></dt><dd>spatial_ref</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -1225,7 +1226,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>cld</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(305, 305), meta=np.ndarray&gt;</div><input id='attrs-7f1af6c8-09c4-4552-9896-b5b065a55d66' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7f1af6c8-09c4-4552-9896-b5b065a55d66' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4888e8d2-4dbf-4ed9-9509-15480b1b4838' class='xr-var-data-in' type='checkbox'><label for='data-4888e8d2-4dbf-4ed9-9509-15480b1b4838' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;band&#x27;, &#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;]}</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 5190240.0, 609780.0, 5300040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32632</dd><dt><span>proj:shape :</span></dt><dd>[5490, 5490]</dd><dt><span>proj:transform :</span></dt><dd>[20.0, 0.0, 499980.0, 0.0, -20.0, 5300040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 32N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,9],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32632&quot;]]</dd><dt><span>grid_mapping :</span></dt><dd>spatial_ref</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>cld</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(305, 305), meta=np.ndarray&gt;</div><input id='attrs-bf76c385-db92-4818-a3ea-3b210efe4364' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bf76c385-db92-4818-a3ea-3b210efe4364' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5525aedf-34eb-4428-857e-c9da426cbb9f' class='xr-var-data-in' type='checkbox'><label for='data-5525aedf-34eb-4428-857e-c9da426cbb9f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;band&#x27;, &#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;]}</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 7890240.0, 609780.0, 8000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32625</dd><dt><span>proj:shape :</span></dt><dd>[5490, 5490]</dd><dt><span>proj:transform :</span></dt><dd>[20.0, 0.0, 499980.0, 0.0, -20.0, 8000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 25N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,-33],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32625&quot;]]</dd><dt><span>history :</span></dt><dd>Down-sampling by factors x=3 and y=3 using aggregation method &#x27;max&#x27;.</dd><dt><span>grid_mapping :</span></dt><dd>spatial_ref</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -1290,7 +1291,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>scl</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(305, 305), meta=np.ndarray&gt;</div><input id='attrs-dfe267b1-126b-4544-be19-8299c0498198' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-dfe267b1-126b-4544-be19-8299c0498198' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b692dea2-8080-44a4-9b5d-749e885af3ec' class='xr-var-data-in' type='checkbox'><label for='data-b692dea2-8080-44a4-9b5d-749e885af3ec' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;]}</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 5190240.0, 609780.0, 5300040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32632</dd><dt><span>proj:shape :</span></dt><dd>[1830, 1830]</dd><dt><span>proj:transform :</span></dt><dd>[60.0, 0.0, 499980.0, 0.0, -60.0, 5300040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 32N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,9],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32632&quot;]]</dd><dt><span>flag_values :</span></dt><dd>[0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11]</dd><dt><span>flag_meanings :</span></dt><dd>no_data sat_or_defect_pixel topo_casted_shadows cloud_shadows vegetation not_vegetation water unclassified cloud_medium_prob cloud_high_prob thin_cirrus snow_or_ice</dd><dt><span>flag_colors :</span></dt><dd>#000000 #ff0000 #2f2f2f #643200 #00a000 #ffe65a #0000ff #808080 #c0c0c0 #ffffff #64c8ff #ff96ff</dd><dt><span>grid_mapping :</span></dt><dd>spatial_ref</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>scl</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(305, 305), meta=np.ndarray&gt;</div><input id='attrs-259ed45f-1207-4a83-8134-ed6248e2c60f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-259ed45f-1207-4a83-8134-ed6248e2c60f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a3a16c66-4fa2-4981-a8fd-c511fe7d0390' class='xr-var-data-in' type='checkbox'><label for='data-a3a16c66-4fa2-4981-a8fd-c511fe7d0390' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;]}</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 7890240.0, 609780.0, 8000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32625</dd><dt><span>proj:shape :</span></dt><dd>[1830, 1830]</dd><dt><span>proj:transform :</span></dt><dd>[60.0, 0.0, 499980.0, 0.0, -60.0, 8000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 25N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,-33],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32625&quot;]]</dd><dt><span>flag_values :</span></dt><dd>[0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11]</dd><dt><span>flag_meanings :</span></dt><dd>no_data sat_or_defect_pixel topo_casted_shadows cloud_shadows vegetation not_vegetation water unclassified cloud_medium_prob cloud_high_prob thin_cirrus snow_or_ice</dd><dt><span>flag_colors :</span></dt><dd>#000000 #ff0000 #2f2f2f #643200 #00a000 #ffe65a #0000ff #808080 #c0c0c0 #ffffff #64c8ff #ff96ff</dd><dt><span>grid_mapping :</span></dt><dd>spatial_ref</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -1355,7 +1356,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>snw</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(305, 305), meta=np.ndarray&gt;</div><input id='attrs-df018891-dc46-42ca-a541-11e9a4bfac6d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-df018891-dc46-42ca-a541-11e9a4bfac6d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4ad5113a-bc5a-4fe4-ab7e-504b574739e9' class='xr-var-data-in' type='checkbox'><label for='data-4ad5113a-bc5a-4fe4-ab7e-504b574739e9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;band&#x27;, &#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;]}</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 5190240.0, 609780.0, 5300040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32632</dd><dt><span>proj:shape :</span></dt><dd>[5490, 5490]</dd><dt><span>proj:transform :</span></dt><dd>[20.0, 0.0, 499980.0, 0.0, -20.0, 5300040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 32N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,9],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32632&quot;]]</dd><dt><span>grid_mapping :</span></dt><dd>spatial_ref</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>snw</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(305, 305), meta=np.ndarray&gt;</div><input id='attrs-d74ac689-e815-4da3-bbb8-1efcfd41a1cb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d74ac689-e815-4da3-bbb8-1efcfd41a1cb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b3848314-3223-48da-9713-7ff68396de4e' class='xr-var-data-in' type='checkbox'><label for='data-b3848314-3223-48da-9713-7ff68396de4e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;band&#x27;, &#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;]}</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 7890240.0, 609780.0, 8000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32625</dd><dt><span>proj:shape :</span></dt><dd>[5490, 5490]</dd><dt><span>proj:transform :</span></dt><dd>[20.0, 0.0, 499980.0, 0.0, -20.0, 8000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 25N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,-33],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32625&quot;]]</dd><dt><span>history :</span></dt><dd>Down-sampling by factors x=3 and y=3 using aggregation method &#x27;max&#x27;.</dd><dt><span>grid_mapping :</span></dt><dd>spatial_ref</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -1420,26 +1421,26 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-4871369c-69fc-4d8c-b8b5-f01f5d7c8aea' class='xr-section-summary-in' type='checkbox'  ><label for='section-4871369c-69fc-4d8c-b8b5-f01f5d7c8aea' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>x</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-59940fd8-85e9-4f34-adc6-f385993a0a24' class='xr-index-data-in' type='checkbox'/><label for='index-59940fd8-85e9-4f34-adc6-f385993a0a24' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([500010, 500070, 500130, 500190, 500250, 500310, 500370, 500430, 500490,\n",
+       "</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-eba33df4-c154-45d3-9be4-44fc2c317630' class='xr-section-summary-in' type='checkbox'  ><label for='section-eba33df4-c154-45d3-9be4-44fc2c317630' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>x</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-76a44006-dc79-4aab-8438-94046cd1b8f0' class='xr-index-data-in' type='checkbox'/><label for='index-76a44006-dc79-4aab-8438-94046cd1b8f0' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([500010, 500070, 500130, 500190, 500250, 500310, 500370, 500430, 500490,\n",
        "       500550,\n",
        "       ...\n",
        "       609210, 609270, 609330, 609390, 609450, 609510, 609570, 609630, 609690,\n",
        "       609750],\n",
-       "      dtype=&#x27;int64&#x27;, name=&#x27;x&#x27;, length=1830))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>y</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-9cb1c819-38ad-4baa-90d5-24f4b56f08b7' class='xr-index-data-in' type='checkbox'/><label for='index-9cb1c819-38ad-4baa-90d5-24f4b56f08b7' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([5300010, 5299950, 5299890, 5299830, 5299770, 5299710, 5299650, 5299590,\n",
-       "       5299530, 5299470,\n",
+       "      dtype=&#x27;int64&#x27;, name=&#x27;x&#x27;, length=1830))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>y</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-ef996402-1916-4146-8ca5-ee752158e52c' class='xr-index-data-in' type='checkbox'/><label for='index-ef996402-1916-4146-8ca5-ee752158e52c' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([8000010, 7999950, 7999890, 7999830, 7999770, 7999710, 7999650, 7999590,\n",
+       "       7999530, 7999470,\n",
        "       ...\n",
-       "       5190810, 5190750, 5190690, 5190630, 5190570, 5190510, 5190450, 5190390,\n",
-       "       5190330, 5190270],\n",
-       "      dtype=&#x27;int64&#x27;, name=&#x27;y&#x27;, length=1830))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-c9a96846-2a66-47e3-b1dc-d7d946d9fe03' class='xr-section-summary-in' type='checkbox'  ><label for='section-c9a96846-2a66-47e3-b1dc-d7d946d9fe03' class='xr-section-summary' >Attributes: <span>(34)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>AOT_retrieval_model :</span></dt><dd>CAMS</dd><dt><span>L0_ancillary_data_quality :</span></dt><dd>4</dd><dt><span>L0_ephemeris_data_quality :</span></dt><dd>5</dd><dt><span>NUC_table_ID :</span></dt><dd>3</dd><dt><span>SWIR_rearrangement_flag :</span></dt><dd>null</dd><dt><span>UTM_zone_identification :</span></dt><dd>S2A_OPER_MSI_L2A_TL_2APS_20240101T144052_A044535_T32TNT_N05.10</dd><dt><span>absolute_location_assessment_from_AOCS :</span></dt><dd>\n",
-       "          </dd><dt><span>band_description :</span></dt><dd>{&#x27;01&#x27;: {&#x27;bandwidth&#x27;: &#x27;20.0&#x27;, &#x27;central_wavelength&#x27;: 442.7, &#x27;onboard_compression_rate&#x27;: &#x27;2.655&#x27;, &#x27;onboard_integration_time&#x27;: &#x27;7.4473767&#x27;, &#x27;physical_gain&#x27;: &#x27;4.10299968&#x27;, &#x27;spectral_response_step&#x27;: &#x27;1&#x27;, &#x27;spectral_response_values&#x27;: &#x27;0.001775742 0.004073061 0.003626143 0.003515199 0.005729163 0.003780292 0.002636732 0.001262113 0.001987583 0.001368913 0.001250444 0.000463454 0.000814293 0.001376431 0.001485086 0.001823735 0.001626817 0.004392062 0.029008099 0.11874593 0.32387506 0.57281921 0.71472749 0.76196778 0.78929702 0.80862387 0.81089382 0.82419876 0.85415811 0.87079088 0.88731097 0.92619924 0.98228149 1 0.9752382 0.93596338 0.88997148 0.85021048 0.82569453 0.78390239 0.61417422 0.33007109 0.12410831 0.04365694 0.014749595&#x27;, &#x27;units&#x27;: &#x27;nm&#x27;, &#x27;wavelength_max&#x27;: 456.0, &#x27;wavelength_min&#x27;: 412.0}, &#x27;02&#x27;: {&#x27;bandwidth&#x27;: &#x27;65.0&#x27;, &#x27;central_wavelength&#x27;: 492.7, &#x27;onboard_compression_rate&#x27;: &#x27;2.97&#x27;, &#x27;onboard_integration_time&#x27;: &#x27;1.2821506&#x27;, &#x27;physical_gain&#x27;: &#x27;3.75669878&#x27;, &#x27;spectral_response_step&#x27;: &#x27;1&#x27;, &#x27;spectral_response_values&#x27;: &#x27;0.04255531 0.0722983 0.15374322 0.32799225 0.55336788 0.71011166 0.75285179 0.75232691 0.75668081 0.76326948 0.76239425 0.7852515 0.81546669 0.86179176 0.89282599 0.9195221 0.91900649 0.91315754 0.90035366 0.88989693 0.8823246 0.87606118 0.88429987 0.90695544 0.93232085 0.93947252 0.94383543 0.92204086 0.8860231 0.84743609 0.81251687 0.7823971 0.7731087 0.77209054 0.78742652 0.81217177 0.84605052 0.88767996 0.92793997 0.95069235 0.96573311 0.96938253 0.96570294 0.95832003 0.95405064 0.95178268 0.95699722 0.96556515 0.9770514 0.97709574 0.97436606 0.95903183 0.93506318 0.90190134 0.87165792 0.84402444 0.82280852 0.81536043 0.82057639 0.8395149 0.86992171 0.91526205 0.96067028 0.99163699 1 0.98356097 0.91130763 0.74018256 0.50395858 0.3050155 0.18004605 0.10738342 0.06593592 0.04207746 0.02662129 0.0143396 0.00265779 0.00081822&#x27;, &#x27;units&#x27;: &#x27;nm&#x27;, &#x27;wavelength_max&#x27;: 533.0, &#x27;wavelength_min&#x27;: 456.0}, &#x27;03&#x27;: {&#x27;bandwidth&#x27;: &#x27;35.0&#x27;, &#x27;central_wavelength&#x27;: 559.8, &#x27;onboard_compression_rate&#x27;: &#x27;2.97&#x27;, &#x27;onboard_integration_time&#x27;: &#x27;1.3230393&#x27;, &#x27;physical_gain&#x27;: &#x27;4.18660465&#x27;, &#x27;spectral_response_step&#x27;: &#x27;1&#x27;, &#x27;spectral_response_values&#x27;: &#x27;0.01448181 0.03422251 0.07346335 0.15444843 0.31661425 0.55322279 0.74859406 0.84890306 0.89772216 0.9215368 0.92572845 0.91122688 0.88818924 0.86523756 0.84718187 0.8387572 0.84459081 0.86219653 0.88838714 0.92443236 0.96017974 0.98685516 1 0.9986008 0.98076472 0.94522089 0.8981778 0.85580323 0.81841734 0.78862048 0.76460653 0.74963745 0.75055111 0.76137888 0.78244479 0.79890086 0.81016957 0.81408886 0.77358596 0.62881065 0.40397555 0.21542098 0.10715281 0.04792877 0.01848693 0.00108588&#x27;, &#x27;units&#x27;: &#x27;nm&#x27;, &#x27;wavelength_max&#x27;: 583.0, &#x27;wavelength_min&#x27;: 538.0}, &#x27;04&#x27;: {&#x27;bandwidth&#x27;: &#x27;30.0&#x27;, &#x27;central_wavelength&#x27;: 664.6, &#x27;onboard_compression_rate&#x27;: &#x27;2.97&#x27;, &#x27;onboard_integration_time&#x27;: &#x27;1.3872929&#x27;, &#x27;physical_gain&#x27;: &#x27;4.52074437&#x27;, &#x27;spectral_response_step&#x27;: &#x27;1&#x27;, &#x27;spectral_response_values&#x27;: &#x27;0.00141521 0.02590238 0.11651178 0.39088616 0.74959342 0.94485805 0.98011173 0.99406309 1 0.99545475 0.99052772 0.97733476 0.94055988 0.87894956 0.81629384 0.77345952 0.75448766 0.75991531 0.7826343 0.8101689 0.83612975 0.86125424 0.88609106 0.91138767 0.93405146 0.95042063 0.9592573 0.96039555 0.95913395 0.95809013 0.95527459 0.94376465 0.89490799 0.74426308 0.476777 0.22960399 0.08009118 0.02617076 0.00415242&#x27;, &#x27;units&#x27;: &#x27;nm&#x27;, &#x27;wavelength_max&#x27;: 684.0, &#x27;wavelength_min&#x27;: 646.0}, &#x27;05&#x27;: {&#x27;bandwidth&#x27;: &#x27;15.0&#x27;, &#x27;central_wavelength&#x27;: 704.1, &#x27;onboard_compression_rate&#x27;: &#x27;2.655&#x27;, &#x27;onboard_integration_time&#x27;: &#x27;2.844058&#x27;, &#x27;physical_gain&#x27;: &#x27;5.20537089&#x27;, &#x27;spectral_response_step&#x27;: &#x27;1&#x27;, &#x27;spectral_response_values&#x27;: &#x27;0.02835786 0.12369337 0.39378774 0.76113071 0.97108502 0.99889523 1 0.99412258 0.98321789 0.96704093 0.94847389 0.92714833 0.90372458 0.88614713 0.86723745 0.79075319 0.58840332 0.26334833 0.05675422 0.00618833&#x27;, &#x27;units&#x27;: &#x27;nm&#x27;, &#x27;wavelength_max&#x27;: 714.0, &#x27;wavelength_min&#x27;: 695.0}, &#x27;06&#x27;: {&#x27;bandwidth&#x27;: &#x27;13.0&#x27;, &#x27;central_wavelength&#x27;: 740.5, &#x27;onboard_compression_rate&#x27;: &#x27;2.655&#x27;, &#x27;onboard_integration_time&#x27;: &#x27;2.7251472&#x27;, &#x27;physical_gain&#x27;: &#x27;4.87185404&#x27;, &#x27;spectral_response_step&#x27;: &#x27;1&#x27;, &#x27;spectral_response_values&#x27;: &#x27;0.00171088 0.05467153 0.25806676 0.64722098 0.89218999 0.90232877 0.91508768 0.94115846 0.96299993 0.97510481 0.9770217 0.98736251 1 0.98880277 0.97179916 0.90126739 0.60672391 0.20520227 0.0267569&#x27;, &#x27;units&#x27;: &#x27;nm&#x27;, &#x27;wavelength_max&#x27;: 749.0, &#x27;wavelength_min&#x27;: 731.0}, &#x27;07&#x27;: {&#x27;bandwidth&#x27;: &#x27;19.0&#x27;, &#x27;central_wavelength&#x27;: 782.8, &#x27;onboard_compression_rate&#x27;: &#x27;2.655&#x27;, &#x27;onboard_integration_time&#x27;: &#x27;2.7489293&#x27;, &#x27;physical_gain&#x27;: &#x27;4.53524853&#x27;, &#x27;spectral_response_step&#x27;: &#x27;1&#x27;, &#x27;spectral_response_values&#x27;: &#x27;0.00045899 0.0117201 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:</span></dt><dd>0.0</dd><dt><span>declared_accuracy_of_water_vapour_model :</span></dt><dd>0.0</dd><dt><span>electronic_crosstalk_correction_flag :</span></dt><dd>null</dd><dt><span>eopf_category :</span></dt><dd>eoproduct</dd><dt><span>geometric_refinement :</span></dt><dd>{&#x27;mean_value_of_residual_displacements_at_all_tie_points_after_refinement_m&#x27;: {&#x27;x_mean&#x27;: &#x27;null&#x27;, &#x27;y_mean&#x27;: &#x27;null&#x27;}, &#x27;spacecraft_rotation&#x27;: {&#x27;X&#x27;: {&#x27;coefficients&#x27;: &#x27;null&#x27;, &#x27;degree&#x27;: &#x27;null&#x27;}, &#x27;Y&#x27;: {&#x27;coefficients&#x27;: &#x27;null&#x27;, &#x27;degree&#x27;: &#x27;null&#x27;}, &#x27;Z&#x27;: {&#x27;coefficients&#x27;: &#x27;null&#x27;, &#x27;degree&#x27;: &#x27;null&#x27;}}, &#x27;standard_deviation_of_residual_displacements_at_all_tie_points_after_refinement_m&#x27;: {&#x27;x_stdv&#x27;: &#x27;null&#x27;, &#x27;y_stdv&#x27;: &#x27;null&#x27;}}</dd><dt><span>history :</span></dt><dd>[{&#x27;output&#x27;: &#x27;Downlinked Stream&#x27;, &#x27;type&#x27;: &#x27;Raw Data&#x27;}, {&#x27;inputs&#x27;: &#x27;Downlinked Stream&#x27;, &#x27;organisation&#x27;: &#x27;ESA&#x27;, &#x27;output&#x27;: &#x27;S2MSIL0__etc&#x27;, &#x27;processor&#x27;: &#x27;L0&#x27;, &#x27;type&#x27;: &#x27;Level-0 Product&#x27;}, {&#x27;inputs&#x27;: {&#x27;Level-0 Product&#x27;: &#x27;S2MSIL0__etc&#x27;, &#x27;list of used processing parameters file names&#x27;: 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&#x27;used CAMS file names&#x27;: &#x27;S2__OPER_AUX_CAMSFO_ADG__20240101T000000_V20240101T000000_20240103T010000&#x27;, &#x27;used DEM file name&#x27;: &#x27;CopernicusDEM30&#x27;, &#x27;used ECMWF file names&#x27;: &#x27;S2__OPER_AUX_ECMWFD_ADG__20240101T000000_V20240101T090000_20240103T030000&#x27;, &#x27;used GRI file name&#x27;: &#x27;S2A_OPER_GRI_MSIL1B_MPC__20160521T184422_S20151114T103133,S2A_OPER_GRI_MSIL1B_MPC__20160531T210152_S20160512T102954,S2A_OPER_GRI_MSIL1B_MPC__20160907T095549_S20160422T103554,S2A_OPER_GRI_MSIL1B_MPC__20161018T120000_S20150826T102633&#x27;, &#x27;used IERS file name&#x27;: &#x27;S2__OPER_AUX_UT1UTC_PDMC_20231230T000000_V20231230T000000_20241229T000000&#x27;}, &#x27;organisation&#x27;: &#x27;ESA&#x27;, &#x27;output&#x27;: &#x27;S2MSIL1A_etc&#x27;, &#x27;processor&#x27;: &#x27;Sentinel-2 IPF&#x27;, &#x27;type&#x27;: &#x27;Level-1A Product&#x27;, &#x27;version&#x27;: &#x27;???&#x27;}, {&#x27;inputs&#x27;: {&#x27;Level-1A Product&#x27;: &#x27;S2MSIL1A_etc&#x27;, &#x27;list of used processing parameters file names&#x27;: &#x27;S2A_OPER_GIP_INVLOC_MPC__20171206T000000_V20150703T000000_21000101T000000_B00,S2A_OPER_GIP_LREXTR_MPC__20150605T094736_V20150622T000000_21000101T000000_B00,S2A_OPER_GIP_ATMIMA_MPC__20150605T094744_V20150622T000000_21000101T000000_B00,S2A_OPER_GIP_ATMSAD_MPC__20160729T000005_V20150703T000000_21000101T000000_B00,S2A_OPER_GIP_BLINDP_MPC__20150605T094736_V20150622T000000_21000101T000000_B00,S2A_OPER_GIP_CLOINV_MPC__20210609T000005_V20210823T030000_21000101T000000_B00,S2A_OPER_GIP_CLOPAR_MPC__20220120T000001_V20220125T022000_21000101T000000_B00,S2A_OPER_GIP_CONVER_MPC__20150710T131444_V20150627T000000_21000101T000000_B00,S2A_OPER_GIP_DATATI_MPC__20151117T131048_V20150703T000000_21000101T000000_B00,S2A_OPER_GIP_DECOMP_MPC__20121031T075922_V19830101T000000_21000101T000000_B00,S2__OPER_GIP_EARMOD_MPC__20150605T094736_V20150622T000000_21000101T000000_B00,S2A_OPER_GIP_ECMWFP_MPC__20121031T075922_V19830101T000000_21000101T000000_B00,S2A_OPER_GIP_G2PARA_MPC__20231208T000027_V20231213T070000_21000101T000000_B00,S2A_OPER_GIP_G2PARE_MPC__20150605T094736_V20150622T000000_21000101T000000_B00,S2A_OPER_GIP_GEOPAR_MPC__20150605T094741_V20150622T000000_21000101T000000_B00,S2A_OPER_GIP_INTDET_MPC__20220120T000010_V20220125T022000_21000101T000000_B00,S2A_OPER_GIP_JP2KPA_MPC__20220120T000006_V20220125T022000_21000101T000000_B00,S2A_OPER_GIP_MASPAR_MPC__20220120T000009_V20220125T022000_21000101T000000_B00,S2A_OPER_GIP_OLQCPA_MPC__20220715T000042_V20220830T002500_21000101T000000_B00,S2A_OPER_GIP_PRDLOC_MPC__20180301T130000_V20180305T005000_21000101T000000_B00,S2A_OPER_GIP_PROBAS_MPC__20231208T000510_V20231213T070000_21000101T000000_B00,S2A_OPER_GIP_R2ABCA_MPC__20231108T144900_V20231109T000000_21000101T000000_B00,S2A_OPER_GIP_R2BINN_MPC__20150605T094803_V20150622T000000_21000101T000000_B00,S2A_OPER_GIP_R2CRCO_MPC__20151023T224715_V20150622T224715_21000101T000000_B00,S2A_OPER_GIP_R2DECT_MPC__20150605T094742_V20150622T000000_21000101T000000_B12,S2A_OPER_GIP_R2DECT_MPC__20150605T094742_V20150622T000000_21000101T000000_B10,S2A_OPER_GIP_R2DECT_MPC__20150605T094741_V20150622T000000_21000101T000000_B03,S2A_OPER_GIP_R2DECT_MPC__20150605T094741_V20150622T000000_21000101T000000_B04,S2A_OPER_GIP_R2DECT_MPC__20150605T094741_V20150622T000000_21000101T000000_B05,S2A_OPER_GIP_R2DECT_MPC__20150605T094741_V20150622T000000_21000101T000000_B08,S2A_OPER_GIP_R2DECT_MPC__20150605T094741_V20150622T000000_21000101T000000_B06,S2A_OPER_GIP_R2DECT_MPC__20150605T094742_V20150622T000000_21000101T000000_B09,S2A_OPER_GIP_R2DECT_MPC__20150605T094741_V20150622T000000_21000101T000000_B8A,S2A_OPER_GIP_R2DECT_MPC__20150605T094741_V20150622T000000_21000101T000000_B07,S2A_OPER_GIP_R2DECT_MPC__20150605T094741_V20150622T000000_21000101T000000_B01,S2A_OPER_GIP_R2DECT_MPC__20150605T094742_V20150622T000000_21000101T000000_B11,S2A_OPER_GIP_R2DECT_MPC__20150605T094741_V20150622T000000_21000101T000000_B02,S2A_OPER_GIP_R2DEFI_MPC__20150605T094741_V20150622T000000_21000101T000000_B12,S2A_OPER_GIP_R2DEFI_MPC__20150605T094741_V20150622T000000_21000101T000000_B09,S2A_OPER_GIP_R2DEFI_MPC__20150605T094741_V20150622T000000_21000101T000000_B04,S2A_OPER_GIP_R2DEFI_MPC__20150605T094741_V20150622T000000_21000101T000000_B11,S2A_OPER_GIP_R2DEFI_MPC__20150605T094741_V20150622T000000_21000101T000000_B02,S2A_OPER_GIP_R2DEFI_MPC__20150605T094741_V20150622T000000_21000101T000000_B08,S2A_OPER_GIP_R2DEFI_MPC__20150605T094741_V20150622T000000_21000101T000000_B10,S2A_OPER_GIP_R2DEFI_MPC__20150605T094741_V20150622T000000_21000101T000000_B07,S2A_OPER_GIP_R2DEFI_MPC__20150605T094741_V20150622T000000_21000101T000000_B8A,S2A_OPER_GIP_R2DEFI_MPC__20150605T094742_V20150622T000000_21000101T000000_B01,S2A_OPER_GIP_R2DEFI_MPC__20150605T094741_V20150622T000000_21000101T000000_B03,S2A_OPER_GIP_R2DEFI_MPC__20150605T094741_V20150622T000000_21000101T000000_B05,S2A_OPER_GIP_R2DEFI_MPC__20150605T094741_V20150622T000000_21000101T000000_B06,S2A_OPER_GIP_R2DENT_MPC__20150605T094742_V20150622T000000_21000101T000000_B04,S2A_OPER_GIP_R2DENT_MPC__20150605T094741_V20150622T000000_21000101T000000_B01,S2A_OPER_GIP_R2DENT_MPC__20150605T094742_V20150622T000000_21000101T000000_B08,S2A_OPER_GIP_R2DENT_MPC__20150605T094742_V20150622T000000_21000101T000000_B06,S2A_OPER_GIP_R2DENT_MPC__20150605T094742_V20150622T000000_21000101T000000_B03,S2A_OPER_GIP_R2DENT_MPC__20150605T094742_V20150622T000000_21000101T000000_B09,S2A_OPER_GIP_R2DENT_MPC__20150605T094742_V20150622T000000_21000101T000000_B11,S2A_OPER_GIP_R2DENT_MPC__20150605T094742_V20150622T000000_21000101T000000_B07,S2A_OPER_GIP_R2DENT_MPC__20150605T094742_V20150622T000000_21000101T000000_B10,S2A_OPER_GIP_R2DENT_MPC__20150605T094742_V20150622T000000_21000101T000000_B05,S2A_OPER_GIP_R2DENT_MPC__20150605T094742_V20150622T000000_21000101T000000_B02,S2A_OPER_GIP_R2DENT_MPC__20150605T094742_V20150622T000000_21000101T000000_B8A,S2A_OPER_GIP_R2DENT_MPC__20150605T094742_V20150622T000000_21000101T000000_B12,S2A_OPER_GIP_R2DEPI_MPC__20230424T160000_V20230426T000000_21000101T000000_B00,S2A_OPER_GIP_R2EOB2_MPC__20190412T145327_V20190429T000000_21000101T000000_B11,S2A_OPER_GIP_R2EOB2_MPC__20190412T145327_V20190429T000000_21000101T000000_B8A,S2A_OPER_GIP_R2EOB2_MPC__20190412T145327_V20190429T000000_21000101T000000_B09,S2A_OPER_GIP_R2EOB2_MPC__20190412T145327_V20190429T000000_21000101T000000_B06,S2A_OPER_GIP_R2EOB2_MPC__20190412T145327_V20190429T000000_21000101T000000_B04,S2A_OPER_GIP_R2EOB2_MPC__20190412T145327_V20190429T000000_21000101T000000_B12,S2A_OPER_GIP_R2EOB2_MPC__20190412T145327_V20190429T000000_21000101T000000_B03,S2A_OPER_GIP_R2EOB2_MPC__20190412T145327_V20190429T000000_21000101T000000_B01,S2A_OPER_GIP_R2EOB2_MPC__20190412T145327_V20190429T000000_21000101T000000_B02,S2A_OPER_GIP_R2EOB2_MPC__20190412T145327_V20190429T000000_21000101T000000_B10,S2A_OPER_GIP_R2EOB2_MPC__20190412T145327_V20190429T000000_21000101T000000_B07,S2A_OPER_GIP_R2EOB2_MPC__20190412T145327_V20190429T000000_21000101T000000_B08,S2A_OPER_GIP_R2EOB2_MPC__20190412T145327_V20190429T000000_21000101T000000_B05,S2A_OPER_GIP_R2EQOG_MPC__20231108T144900_V20231109T000000_21000101T000000_B03,S2A_OPER_GIP_R2EQOG_MPC__20231108T144900_V20231109T000000_21000101T000000_B8A,S2A_OPER_GIP_R2EQOG_MPC__20231108T144900_V20231109T000000_21000101T000000_B11,S2A_OPER_GIP_R2EQOG_MPC__20231108T144900_V20231109T000000_21000101T000000_B12,S2A_OPER_GIP_R2EQOG_MPC__20231108T144900_V20231109T000000_21000101T000000_B10,S2A_OPER_GIP_R2EQOG_MPC__20231108T144900_V20231109T000000_21000101T000000_B06,S2A_OPER_GIP_R2EQOG_MPC__20231108T144900_V20231109T000000_21000101T000000_B04,S2A_OPER_GIP_R2EQOG_MPC__20231108T144900_V20231109T000000_21000101T000000_B05,S2A_OPER_GIP_R2EQOG_MPC__20231108T144900_V20231109T000000_21000101T000000_B02,S2A_OPER_GIP_R2EQOG_MPC__20231108T144900_V20231109T000000_21000101T000000_B08,S2A_OPER_GIP_R2EQOG_MPC__20231108T144900_V20231109T000000_21000101T000000_B09,S2A_OPER_GIP_R2EQOG_MPC__20231108T144900_V20231109T000000_21000101T000000_B01,S2A_OPER_GIP_R2EQOG_MPC__20231108T144900_V20231109T000000_21000101T000000_B07,S2A_OPER_GIP_R2L2NC_MPC__20150605T094742_V20150622T000000_21000101T000000_B04,S2A_OPER_GIP_R2L2NC_MPC__20150605T094742_V20150622T000000_21000101T000000_B09,S2A_OPER_GIP_R2L2NC_MPC__20150605T094742_V20150622T000000_21000101T000000_B11,S2A_OPER_GIP_R2L2NC_MPC__20150605T094742_V20150622T000000_21000101T000000_B07,S2A_OPER_GIP_R2L2NC_MPC__20150605T094742_V20150622T000000_21000101T000000_B05,S2A_OPER_GIP_R2L2NC_MPC__20150605T094742_V20150622T000000_21000101T000000_B08,S2A_OPER_GIP_R2L2NC_MPC__20150605T094742_V20150622T000000_21000101T000000_B8A,S2A_OPER_GIP_R2L2NC_MPC__20150605T094742_V20150622T000000_21000101T000000_B01,S2A_OPER_GIP_R2L2NC_MPC__20150605T094742_V20150622T000000_21000101T000000_B10,S2A_OPER_GIP_R2L2NC_MPC__20150605T094742_V20150622T000000_21000101T000000_B06,S2A_OPER_GIP_R2L2NC_MPC__20150605T094742_V20150622T000000_21000101T000000_B12,S2A_OPER_GIP_R2L2NC_MPC__20150605T094742_V20150622T000000_21000101T000000_B02,S2A_OPER_GIP_R2L2NC_MPC__20150605T094741_V20150622T000000_21000101T000000_B03,S2A_OPER_GIP_R2NOMO_MPC__20150605T094803_V20150622T000000_21000101T000000_B00,S2A_OPER_GIP_R2PARA_MPC__20221206T000009_V20221206T073000_21000101T000000_B00,S2A_OPER_GIP_R2SWIR_MPC__20180406T000021_V20180604T100000_21000101T000000_B00,S2A_OPER_GIP_R2WAFI_MPC__20150605T094742_V20150622T000000_21000101T000000_B05,S2A_OPER_GIP_R2WAFI_MPC__20150605T094742_V20150622T000000_21000101T000000_B04,S2A_OPER_GIP_R2WAFI_MPC__20150605T094742_V20150622T000000_21000101T000000_B07,S2A_OPER_GIP_R2WAFI_MPC__20150605T094742_V20150622T000000_21000101T000000_B06,S2A_OPER_GIP_R2WAFI_MPC__20150605T094742_V20150622T000000_21000101T000000_B09,S2A_OPER_GIP_R2WAFI_MPC__20150605T094742_V20150622T000000_21000101T000000_B8A,S2A_OPER_GIP_R2WAFI_MPC__20150605T094742_V20150622T000000_21000101T000000_B08,S2A_OPER_GIP_R2WAFI_MPC__20150605T094742_V20150622T000000_21000101T000000_B10,S2A_OPER_GIP_R2WAFI_MPC__20150605T094742_V20150622T000000_21000101T000000_B12,S2A_OPER_GIP_R2WAFI_MPC__20150605T094742_V20150622T000000_21000101T000000_B11,S2A_OPER_GIP_R2WAFI_MPC__20150605T094742_V20150622T000000_21000101T000000_B01,S2A_OPER_GIP_R2WAFI_MPC__20150605T094742_V20150622T000000_21000101T000000_B03,S2A_OPER_GIP_R2WAFI_MPC__20150605T094742_V20150622T000000_21000101T000000_B02,S2A_OPER_GIP_RESPAR_MPC__20150605T094736_V20150622T000000_21000101T000000_B00,S2A_OPER_GIP_SPAMOD_MPC__20231122T110026_V20231123T010000_21000101T000000_B00,S2A_OPER_GIP_TILPAR_MPC__20151209T095117_V20150622T000000_21000101T000000_B00,S2A_OPER_GIP_VIEDIR_MPC__20151117T131050_V20150703T000000_21000101T000000_B05,S2A_OPER_GIP_VIEDIR_MPC__20151117T131048_V20150703T000000_21000101T000000_B01,S2A_OPER_GIP_VIEDIR_MPC__20151117T131049_V20150703T000000_21000101T000000_B02,S2A_OPER_GIP_VIEDIR_MPC__20151117T131050_V20150703T000000_21000101T000000_B8A,S2A_OPER_GIP_VIEDIR_MPC__20151117T131049_V20150703T000000_21000101T000000_B03,S2A_OPER_GIP_VIEDIR_MPC__20151117T131050_V20150703T000000_21000101T000000_B07,S2A_OPER_GIP_VIEDIR_MPC__20151117T131050_V20150703T000000_21000101T000000_B10,S2A_OPER_GIP_VIEDIR_MPC__20151117T131049_V20150703T000000_21000101T000000_B04,S2A_OPER_GIP_VIEDIR_MPC__20151117T131050_V20150703T000000_21000101T000000_B06,S2A_OPER_GIP_VIEDIR_MPC__20151117T131050_V20150703T000000_21000101T000000_B09,S2A_OPER_GIP_VIEDIR_MPC__20151117T131050_V20150703T000000_21000101T000000_B08,S2A_OPER_GIP_VIEDIR_MPC__20151117T131050_V20150703T000000_21000101T000000_B11,S2A_OPER_GIP_VIEDIR_MPC__20151117T131051_V20150703T000000_21000101T000000_B12,S2__OPER_GIP_L2ACSC_MPC__20220121T000003_V20220125T022000_21000101T000000_B00,S2__OPER_GIP_L2ACAC_MPC__20220121T000004_V20220125T022000_21000101T000000_B00,S2__OPER_GIP_PROBA2_MPC__20231208T000510_V20231213T070000_21000101T000000_B00&#x27;, &#x27;used CAMS file names&#x27;: &#x27;S2__OPER_AUX_CAMSFO_ADG__20240101T000000_V20240101T000000_20240103T010000&#x27;, &#x27;used DEM file name&#x27;: &#x27;CopernicusDEM30&#x27;, &#x27;used ECMWF file names&#x27;: &#x27;S2__OPER_AUX_ECMWFD_ADG__20240101T000000_V20240101T090000_20240103T030000&#x27;, &#x27;used GRI file name&#x27;: &#x27;S2A_OPER_GRI_MSIL1B_MPC__20160521T184422_S20151114T103133,S2A_OPER_GRI_MSIL1B_MPC__20160531T210152_S20160512T102954,S2A_OPER_GRI_MSIL1B_MPC__20160907T095549_S20160422T103554,S2A_OPER_GRI_MSIL1B_MPC__20161018T120000_S20150826T102633&#x27;, &#x27;used IERS file name&#x27;: &#x27;S2__OPER_AUX_UT1UTC_PDMC_20231230T000000_V20231230T000000_20241229T000000&#x27;}, &#x27;organisation&#x27;: &#x27;ESA&#x27;, &#x27;output&#x27;: &#x27;S2MSIL1B_etc&#x27;, &#x27;processor&#x27;: &#x27;Sentinel-2 IPF&#x27;, &#x27;type&#x27;: &#x27;Level-1B Product&#x27;, &#x27;version&#x27;: &#x27;???&#x27;}, {&#x27;inputs&#x27;: {&#x27;Level-1B Product&#x27;: &#x27;S2MSIL1B_etc&#x27;, &#x27;list of used processing parameters file names&#x27;: &#x27;S2A_OPER_GIP_INVLOC_MPC__20171206T000000_V20150703T000000_21000101T000000_B00,S2A_OPER_GIP_LREXTR_MPC__20150605T094736_V20150622T000000_21000101T000000_B00,S2A_OPER_GIP_ATMIMA_MPC__20150605T094744_V20150622T000000_21000101T000000_B00,S2A_OPER_GIP_ATMSAD_MPC__20160729T000005_V20150703T000000_21000101T000000_B00,S2A_OPER_GIP_BLINDP_MPC__20150605T094736_V20150622T000000_21000101T000000_B00,S2A_OPER_GIP_CLOINV_MPC__20210609T000005_V20210823T030000_21000101T000000_B00,S2A_OPER_GIP_CLOPAR_MPC__20220120T000001_V20220125T022000_21000101T000000_B00,S2A_OPER_GIP_CONVER_MPC__20150710T131444_V20150627T000000_21000101T000000_B00,S2A_OPER_GIP_DATATI_MPC__20151117T131048_V20150703T000000_21000101T000000_B00,S2A_OPER_GIP_DECOMP_MPC__20121031T075922_V19830101T000000_21000101T000000_B00,S2__OPER_GIP_EARMOD_MPC__20150605T094736_V20150622T000000_21000101T000000_B00,S2A_OPER_GIP_ECMWFP_MPC__20121031T075922_V19830101T000000_21000101T000000_B00,S2A_OPER_GIP_G2PARA_MPC__20231208T000027_V20231213T070000_21000101T000000_B00,S2A_OPER_GIP_G2PARE_MPC__20150605T094736_V20150622T000000_21000101T000000_B00,S2A_OPER_GIP_GEOPAR_MPC__20150605T094741_V20150622T000000_21000101T000000_B00,S2A_OPER_GIP_INTDET_MPC__20220120T000010_V20220125T022000_21000101T000000_B00,S2A_OPER_GIP_JP2KPA_MPC__20220120T000006_V20220125T022000_21000101T000000_B00,S2A_OPER_GIP_MASPAR_MPC__20220120T000009_V20220125T022000_21000101T000000_B00,S2A_OPER_GIP_OLQCPA_MPC__20220715T000042_V20220830T002500_21000101T000000_B00,S2A_OPER_GIP_PRDLOC_MPC__20180301T130000_V20180305T005000_21000101T000000_B00,S2A_OPER_GIP_PROBAS_MPC__20231208T000510_V20231213T070000_21000101T000000_B00,S2A_OPER_GIP_R2ABCA_MPC__20231108T144900_V20231109T000000_21000101T000000_B00,S2A_OPER_GIP_R2BINN_MPC__20150605T094803_V20150622T000000_21000101T000000_B00,S2A_OPER_GIP_R2CRCO_MPC__20151023T224715_V20150622T224715_21000101T000000_B00,S2A_OPER_GIP_R2DECT_MPC__20150605T094742_V20150622T000000_21000101T000000_B12,S2A_OPER_GIP_R2DECT_MPC__20150605T094742_V20150622T000000_21000101T000000_B10,S2A_OPER_GIP_R2DECT_MPC__20150605T094741_V20150622T000000_21000101T000000_B03,S2A_OPER_GIP_R2DECT_MPC__20150605T094741_V20150622T000000_21000101T000000_B04,S2A_OPER_GIP_R2DECT_MPC__20150605T094741_V20150622T000000_21000101T000000_B05,S2A_OPER_GIP_R2DECT_MPC__20150605T094741_V20150622T000000_21000101T000000_B08,S2A_OPER_GIP_R2DECT_MPC__20150605T094741_V20150622T000000_21000101T000000_B06,S2A_OPER_GIP_R2DECT_MPC__20150605T094742_V20150622T000000_21000101T000000_B09,S2A_OPER_GIP_R2DECT_MPC__20150605T094741_V20150622T000000_21000101T000000_B8A,S2A_OPER_GIP_R2DECT_MPC__20150605T094741_V20150622T000000_21000101T000000_B07,S2A_OPER_GIP_R2DECT_MPC__20150605T094741_V20150622T000000_21000101T000000_B01,S2A_OPER_GIP_R2DECT_MPC__20150605T094742_V20150622T000000_21000101T000000_B11,S2A_OPER_GIP_R2DECT_MPC__20150605T094741_V20150622T000000_21000101T000000_B02,S2A_OPER_GIP_R2DEFI_MPC__20150605T094741_V20150622T000000_21000101T000000_B12,S2A_OPER_GIP_R2DEFI_MPC__20150605T094741_V20150622T000000_21000101T000000_B09,S2A_OPER_GIP_R2DEFI_MPC__20150605T094741_V20150622T000000_21000101T000000_B04,S2A_OPER_GIP_R2DEFI_MPC__20150605T094741_V20150622T000000_21000101T000000_B11,S2A_OPER_GIP_R2DEFI_MPC__20150605T094741_V20150622T000000_21000101T000000_B02,S2A_OPER_GIP_R2DEFI_MPC__20150605T094741_V20150622T000000_21000101T000000_B08,S2A_OPER_GIP_R2DEFI_MPC__20150605T094741_V20150622T000000_21000101T000000_B10,S2A_OPER_GIP_R2DEFI_MPC__20150605T094741_V20150622T000000_21000101T000000_B07,S2A_OPER_GIP_R2DEFI_MPC__20150605T094741_V20150622T000000_21000101T000000_B8A,S2A_OPER_GIP_R2DEFI_MPC__20150605T094742_V20150622T000000_21000101T000000_B01,S2A_OPER_GIP_R2DEFI_MPC__20150605T094741_V20150622T000000_21000101T000000_B03,S2A_OPER_GIP_R2DEFI_MPC__20150605T094741_V20150622T000000_21000101T000000_B05,S2A_OPER_GIP_R2DEFI_MPC__20150605T094741_V20150622T000000_21000101T000000_B06,S2A_OPER_GIP_R2DENT_MPC__20150605T094742_V20150622T000000_21000101T000000_B04,S2A_OPER_GIP_R2DENT_MPC__20150605T094741_V20150622T000000_21000101T000000_B01,S2A_OPER_GIP_R2DENT_MPC__20150605T094742_V20150622T000000_21000101T000000_B08,S2A_OPER_GIP_R2DENT_MPC__20150605T094742_V20150622T000000_21000101T000000_B06,S2A_OPER_GIP_R2DENT_MPC__20150605T094742_V20150622T000000_21000101T000000_B03,S2A_OPER_GIP_R2DENT_MPC__20150605T094742_V20150622T000000_21000101T000000_B09,S2A_OPER_GIP_R2DENT_MPC__20150605T094742_V20150622T000000_21000101T000000_B11,S2A_OPER_GIP_R2DENT_MPC__20150605T094742_V20150622T000000_21000101T000000_B07,S2A_OPER_GIP_R2DENT_MPC__20150605T094742_V20150622T000000_21000101T000000_B10,S2A_OPER_GIP_R2DENT_MPC__20150605T094742_V20150622T000000_21000101T000000_B05,S2A_OPER_GIP_R2DENT_MPC__20150605T094742_V20150622T000000_21000101T000000_B02,S2A_OPER_GIP_R2DENT_MPC__20150605T094742_V20150622T000000_21000101T000000_B8A,S2A_OPER_GIP_R2DENT_MPC__20150605T094742_V20150622T000000_21000101T000000_B12,S2A_OPER_GIP_R2DEPI_MPC__20230424T160000_V20230426T000000_21000101T000000_B00,S2A_OPER_GIP_R2EOB2_MPC__20190412T145327_V20190429T000000_21000101T000000_B11,S2A_OPER_GIP_R2EOB2_MPC__20190412T145327_V20190429T000000_21000101T000000_B8A,S2A_OPER_GIP_R2EOB2_MPC__20190412T145327_V20190429T000000_21000101T000000_B09,S2A_OPER_GIP_R2EOB2_MPC__20190412T145327_V20190429T000000_21000101T000000_B06,S2A_OPER_GIP_R2EOB2_MPC__20190412T145327_V20190429T000000_21000101T000000_B04,S2A_OPER_GIP_R2EOB2_MPC__20190412T145327_V20190429T000000_21000101T000000_B12,S2A_OPER_GIP_R2EOB2_MPC__20190412T145327_V20190429T000000_21000101T000000_B03,S2A_OPER_GIP_R2EOB2_MPC__20190412T145327_V20190429T000000_21000101T000000_B01,S2A_OPER_GIP_R2EOB2_MPC__20190412T145327_V20190429T000000_21000101T000000_B02,S2A_OPER_GIP_R2EOB2_MPC__20190412T145327_V20190429T000000_21000101T000000_B10,S2A_OPER_GIP_R2EOB2_MPC__20190412T145327_V20190429T000000_21000101T000000_B07,S2A_OPER_GIP_R2EOB2_MPC__20190412T145327_V20190429T000000_21000101T000000_B08,S2A_OPER_GIP_R2EOB2_MPC__20190412T145327_V20190429T000000_21000101T000000_B05,S2A_OPER_GIP_R2EQOG_MPC__20231108T144900_V20231109T000000_21000101T000000_B03,S2A_OPER_GIP_R2EQOG_MPC__20231108T144900_V20231109T000000_21000101T000000_B8A,S2A_OPER_GIP_R2EQOG_MPC__20231108T144900_V20231109T000000_21000101T000000_B11,S2A_OPER_GIP_R2EQOG_MPC__20231108T144900_V20231109T000000_21000101T000000_B12,S2A_OPER_GIP_R2EQOG_MPC__20231108T144900_V20231109T000000_21000101T000000_B10,S2A_OPER_GIP_R2EQOG_MPC__20231108T144900_V20231109T000000_21000101T000000_B06,S2A_OPER_GIP_R2EQOG_MPC__20231108T144900_V20231109T000000_21000101T000000_B04,S2A_OPER_GIP_R2EQOG_MPC__20231108T144900_V20231109T000000_21000101T000000_B05,S2A_OPER_GIP_R2EQOG_MPC__20231108T144900_V20231109T000000_21000101T000000_B02,S2A_OPER_GIP_R2EQOG_MPC__20231108T144900_V20231109T000000_21000101T000000_B08,S2A_OPER_GIP_R2EQOG_MPC__20231108T144900_V20231109T000000_21000101T000000_B09,S2A_OPER_GIP_R2EQOG_MPC__20231108T144900_V20231109T000000_21000101T000000_B01,S2A_OPER_GIP_R2EQOG_MPC__20231108T144900_V20231109T000000_21000101T000000_B07,S2A_OPER_GIP_R2L2NC_MPC__20150605T094742_V20150622T000000_21000101T000000_B04,S2A_OPER_GIP_R2L2NC_MPC__20150605T094742_V20150622T000000_21000101T000000_B09,S2A_OPER_GIP_R2L2NC_MPC__20150605T094742_V20150622T000000_21000101T000000_B11,S2A_OPER_GIP_R2L2NC_MPC__20150605T094742_V20150622T000000_21000101T000000_B07,S2A_OPER_GIP_R2L2NC_MPC__20150605T094742_V20150622T000000_21000101T000000_B05,S2A_OPER_GIP_R2L2NC_MPC__20150605T094742_V20150622T000000_21000101T000000_B08,S2A_OPER_GIP_R2L2NC_MPC__20150605T094742_V20150622T000000_21000101T000000_B8A,S2A_OPER_GIP_R2L2NC_MPC__20150605T094742_V20150622T000000_21000101T000000_B01,S2A_OPER_GIP_R2L2NC_MPC__20150605T094742_V20150622T000000_21000101T000000_B10,S2A_OPER_GIP_R2L2NC_MPC__20150605T094742_V20150622T000000_21000101T000000_B06,S2A_OPER_GIP_R2L2NC_MPC__20150605T094742_V20150622T000000_21000101T000000_B12,S2A_OPER_GIP_R2L2NC_MPC__20150605T094742_V20150622T000000_21000101T000000_B02,S2A_OPER_GIP_R2L2NC_MPC__20150605T094741_V20150622T000000_21000101T000000_B03,S2A_OPER_GIP_R2NOMO_MPC__20150605T094803_V20150622T000000_21000101T000000_B00,S2A_OPER_GIP_R2PARA_MPC__20221206T000009_V20221206T073000_21000101T000000_B00,S2A_OPER_GIP_R2SWIR_MPC__20180406T000021_V20180604T100000_21000101T000000_B00,S2A_OPER_GIP_R2WAFI_MPC__20150605T094742_V20150622T000000_21000101T000000_B05,S2A_OPER_GIP_R2WAFI_MPC__20150605T094742_V20150622T000000_21000101T000000_B04,S2A_OPER_GIP_R2WAFI_MPC__20150605T094742_V20150622T000000_21000101T000000_B07,S2A_OPER_GIP_R2WAFI_MPC__20150605T094742_V20150622T000000_21000101T000000_B06,S2A_OPER_GIP_R2WAFI_MPC__20150605T094742_V20150622T000000_21000101T000000_B09,S2A_OPER_GIP_R2WAFI_MPC__20150605T094742_V20150622T000000_21000101T000000_B8A,S2A_OPER_GIP_R2WAFI_MPC__20150605T094742_V20150622T000000_21000101T000000_B08,S2A_OPER_GIP_R2WAFI_MPC__20150605T094742_V20150622T000000_21000101T000000_B10,S2A_OPER_GIP_R2WAFI_MPC__20150605T094742_V20150622T000000_21000101T000000_B12,S2A_OPER_GIP_R2WAFI_MPC__20150605T094742_V20150622T000000_21000101T000000_B11,S2A_OPER_GIP_R2WAFI_MPC__20150605T094742_V20150622T000000_21000101T000000_B01,S2A_OPER_GIP_R2WAFI_MPC__20150605T094742_V20150622T000000_21000101T000000_B03,S2A_OPER_GIP_R2WAFI_MPC__20150605T094742_V20150622T000000_21000101T000000_B02,S2A_OPER_GIP_RESPAR_MPC__20150605T094736_V20150622T000000_21000101T000000_B00,S2A_OPER_GIP_SPAMOD_MPC__20231122T110026_V20231123T010000_21000101T000000_B00,S2A_OPER_GIP_TILPAR_MPC__20151209T095117_V20150622T000000_21000101T000000_B00,S2A_OPER_GIP_VIEDIR_MPC__20151117T131050_V20150703T000000_21000101T000000_B05,S2A_OPER_GIP_VIEDIR_MPC__20151117T131048_V20150703T000000_21000101T000000_B01,S2A_OPER_GIP_VIEDIR_MPC__20151117T131049_V20150703T000000_21000101T000000_B02,S2A_OPER_GIP_VIEDIR_MPC__20151117T131050_V20150703T000000_21000101T000000_B8A,S2A_OPER_GIP_VIEDIR_MPC__20151117T131049_V20150703T000000_21000101T000000_B03,S2A_OPER_GIP_VIEDIR_MPC__20151117T131050_V20150703T000000_21000101T000000_B07,S2A_OPER_GIP_VIEDIR_MPC__20151117T131050_V20150703T000000_21000101T000000_B10,S2A_OPER_GIP_VIEDIR_MPC__20151117T131049_V20150703T000000_21000101T000000_B04,S2A_OPER_GIP_VIEDIR_MPC__20151117T131050_V20150703T000000_21000101T000000_B06,S2A_OPER_GIP_VIEDIR_MPC__20151117T131050_V20150703T000000_21000101T000000_B09,S2A_OPER_GIP_VIEDIR_MPC__20151117T131050_V20150703T000000_21000101T000000_B08,S2A_OPER_GIP_VIEDIR_MPC__20151117T131050_V20150703T000000_21000101T000000_B11,S2A_OPER_GIP_VIEDIR_MPC__20151117T131051_V20150703T000000_21000101T000000_B12,S2__OPER_GIP_L2ACSC_MPC__20220121T000003_V20220125T022000_21000101T000000_B00,S2__OPER_GIP_L2ACAC_MPC__20220121T000004_V20220125T022000_21000101T000000_B00,S2__OPER_GIP_PROBA2_MPC__20231208T000510_V20231213T070000_21000101T000000_B00&#x27;, &#x27;used CAMS file names&#x27;: &#x27;S2__OPER_AUX_CAMSFO_ADG__20240101T000000_V20240101T000000_20240103T010000&#x27;, &#x27;used DEM file name&#x27;: &#x27;CopernicusDEM30&#x27;, &#x27;used ECMWF file names&#x27;: &#x27;S2__OPER_AUX_ECMWFD_ADG__20240101T000000_V20240101T090000_20240103T030000&#x27;, &#x27;used GRI file name&#x27;: &#x27;S2A_OPER_GRI_MSIL1B_MPC__20160521T184422_S20151114T103133,S2A_OPER_GRI_MSIL1B_MPC__20160531T210152_S20160512T102954,S2A_OPER_GRI_MSIL1B_MPC__20160907T095549_S20160422T103554,S2A_OPER_GRI_MSIL1B_MPC__20161018T120000_S20150826T102633&#x27;, &#x27;used IERS file name&#x27;: &#x27;S2__OPER_AUX_UT1UTC_PDMC_20231230T000000_V20231230T000000_20241229T000000&#x27;}, &#x27;organisation&#x27;: &#x27;ESA&#x27;, &#x27;output&#x27;: &#x27;S2MSIL1C_etc&#x27;, &#x27;processor&#x27;: &#x27;Sentinel-2 IPF&#x27;, &#x27;type&#x27;: &#x27;Level-1C Product&#x27;, &#x27;version&#x27;: &#x27;???&#x27;}, {&#x27;inputs&#x27;: {&#x27;Level-1C Product&#x27;: &#x27;S2MSIL1C_etc&#x27;, &#x27;list of used processing parameters file names&#x27;: &#x27;S2A_OPER_GIP_INVLOC_MPC__20171206T000000_V20150703T000000_21000101T000000_B00,S2A_OPER_GIP_LREXTR_MPC__20150605T094736_V20150622T000000_21000101T000000_B00,S2A_OPER_GIP_ATMIMA_MPC__20150605T094744_V20150622T000000_21000101T000000_B00,S2A_OPER_GIP_ATMSAD_MPC__20160729T000005_V20150703T000000_21000101T000000_B00,S2A_OPER_GIP_BLINDP_MPC__20150605T094736_V20150622T000000_21000101T000000_B00,S2A_OPER_GIP_CLOINV_MPC__20210609T000005_V20210823T030000_21000101T000000_B00,S2A_OPER_GIP_CLOPAR_MPC__20220120T000001_V20220125T022000_21000101T000000_B00,S2A_OPER_GIP_CONVER_MPC__20150710T131444_V20150627T000000_21000101T000000_B00,S2A_OPER_GIP_DATATI_MPC__20151117T131048_V20150703T000000_21000101T000000_B00,S2A_OPER_GIP_DECOMP_MPC__20121031T075922_V19830101T000000_21000101T000000_B00,S2__OPER_GIP_EARMOD_MPC__20150605T094736_V20150622T000000_21000101T000000_B00,S2A_OPER_GIP_ECMWFP_MPC__20121031T075922_V19830101T000000_21000101T000000_B00,S2A_OPER_GIP_G2PARA_MPC__20231208T000027_V20231213T070000_21000101T000000_B00,S2A_OPER_GIP_G2PARE_MPC__20150605T094736_V20150622T000000_21000101T000000_B00,S2A_OPER_GIP_GEOPAR_MPC__20150605T094741_V20150622T000000_21000101T000000_B00,S2A_OPER_GIP_INTDET_MPC__20220120T000010_V20220125T022000_21000101T000000_B00,S2A_OPER_GIP_JP2KPA_MPC__20220120T000006_V20220125T022000_21000101T000000_B00,S2A_OPER_GIP_MASPAR_MPC__20220120T000009_V20220125T022000_21000101T000000_B00,S2A_OPER_GIP_OLQCPA_MPC__20220715T000042_V20220830T002500_21000101T000000_B00,S2A_OPER_GIP_PRDLOC_MPC__20180301T130000_V20180305T005000_21000101T000000_B00,S2A_OPER_GIP_PROBAS_MPC__20231208T000510_V20231213T070000_21000101T000000_B00,S2A_OPER_GIP_R2ABCA_MPC__20231108T144900_V20231109T000000_21000101T000000_B00,S2A_OPER_GIP_R2BINN_MPC__20150605T094803_V20150622T000000_21000101T000000_B00,S2A_OPER_GIP_R2CRCO_MPC__20151023T224715_V20150622T224715_21000101T000000_B00,S2A_OPER_GIP_R2DECT_MPC__20150605T094742_V20150622T000000_21000101T000000_B12,S2A_OPER_GIP_R2DECT_MPC__20150605T094742_V20150622T000000_21000101T000000_B10,S2A_OPER_GIP_R2DECT_MPC__20150605T094741_V20150622T000000_21000101T000000_B03,S2A_OPER_GIP_R2DECT_MPC__20150605T094741_V20150622T000000_21000101T000000_B04,S2A_OPER_GIP_R2DECT_MPC__20150605T094741_V20150622T000000_21000101T000000_B05,S2A_OPER_GIP_R2DECT_MPC__20150605T094741_V20150622T000000_21000101T000000_B08,S2A_OPER_GIP_R2DECT_MPC__20150605T094741_V20150622T000000_21000101T000000_B06,S2A_OPER_GIP_R2DECT_MPC__20150605T094742_V20150622T000000_21000101T000000_B09,S2A_OPER_GIP_R2DECT_MPC__20150605T094741_V20150622T000000_21000101T000000_B8A,S2A_OPER_GIP_R2DECT_MPC__20150605T094741_V20150622T000000_21000101T000000_B07,S2A_OPER_GIP_R2DECT_MPC__20150605T094741_V20150622T000000_21000101T000000_B01,S2A_OPER_GIP_R2DECT_MPC__20150605T094742_V20150622T000000_21000101T000000_B11,S2A_OPER_GIP_R2DECT_MPC__20150605T094741_V20150622T000000_21000101T000000_B02,S2A_OPER_GIP_R2DEFI_MPC__20150605T094741_V20150622T000000_21000101T000000_B12,S2A_OPER_GIP_R2DEFI_MPC__20150605T094741_V20150622T000000_21000101T000000_B09,S2A_OPER_GIP_R2DEFI_MPC__20150605T094741_V20150622T000000_21000101T000000_B04,S2A_OPER_GIP_R2DEFI_MPC__20150605T094741_V20150622T000000_21000101T000000_B11,S2A_OPER_GIP_R2DEFI_MPC__20150605T094741_V20150622T000000_21000101T000000_B02,S2A_OPER_GIP_R2DEFI_MPC__20150605T094741_V20150622T000000_21000101T000000_B08,S2A_OPER_GIP_R2DEFI_MPC__20150605T094741_V20150622T000000_21000101T000000_B10,S2A_OPER_GIP_R2DEFI_MPC__20150605T094741_V20150622T000000_21000101T000000_B07,S2A_OPER_GIP_R2DEFI_MPC__20150605T094741_V20150622T000000_21000101T000000_B8A,S2A_OPER_GIP_R2DEFI_MPC__20150605T094742_V20150622T000000_21000101T000000_B01,S2A_OPER_GIP_R2DEFI_MPC__20150605T094741_V20150622T000000_21000101T000000_B03,S2A_OPER_GIP_R2DEFI_MPC__20150605T094741_V20150622T000000_21000101T000000_B05,S2A_OPER_GIP_R2DEFI_MPC__20150605T094741_V20150622T000000_21000101T000000_B06,S2A_OPER_GIP_R2DENT_MPC__20150605T094742_V20150622T000000_21000101T000000_B04,S2A_OPER_GIP_R2DENT_MPC__20150605T094741_V20150622T000000_21000101T000000_B01,S2A_OPER_GIP_R2DENT_MPC__20150605T094742_V20150622T000000_21000101T000000_B08,S2A_OPER_GIP_R2DENT_MPC__20150605T094742_V20150622T000000_21000101T000000_B06,S2A_OPER_GIP_R2DENT_MPC__20150605T094742_V20150622T000000_21000101T000000_B03,S2A_OPER_GIP_R2DENT_MPC__20150605T094742_V20150622T000000_21000101T000000_B09,S2A_OPER_GIP_R2DENT_MPC__20150605T094742_V20150622T000000_21000101T000000_B11,S2A_OPER_GIP_R2DENT_MPC__20150605T094742_V20150622T000000_21000101T000000_B07,S2A_OPER_GIP_R2DENT_MPC__20150605T094742_V20150622T000000_21000101T000000_B10,S2A_OPER_GIP_R2DENT_MPC__20150605T094742_V20150622T000000_21000101T000000_B05,S2A_OPER_GIP_R2DENT_MPC__20150605T094742_V20150622T000000_21000101T000000_B02,S2A_OPER_GIP_R2DENT_MPC__20150605T094742_V20150622T000000_21000101T000000_B8A,S2A_OPER_GIP_R2DENT_MPC__20150605T094742_V20150622T000000_21000101T000000_B12,S2A_OPER_GIP_R2DEPI_MPC__20230424T160000_V20230426T000000_21000101T000000_B00,S2A_OPER_GIP_R2EOB2_MPC__20190412T145327_V20190429T000000_21000101T000000_B11,S2A_OPER_GIP_R2EOB2_MPC__20190412T145327_V20190429T000000_21000101T000000_B8A,S2A_OPER_GIP_R2EOB2_MPC__20190412T145327_V20190429T000000_21000101T000000_B09,S2A_OPER_GIP_R2EOB2_MPC__20190412T145327_V20190429T000000_21000101T000000_B06,S2A_OPER_GIP_R2EOB2_MPC__20190412T145327_V20190429T000000_21000101T000000_B04,S2A_OPER_GIP_R2EOB2_MPC__20190412T145327_V20190429T000000_21000101T000000_B12,S2A_OPER_GIP_R2EOB2_MPC__20190412T145327_V20190429T000000_21000101T000000_B03,S2A_OPER_GIP_R2EOB2_MPC__20190412T145327_V20190429T000000_21000101T000000_B01,S2A_OPER_GIP_R2EOB2_MPC__20190412T145327_V20190429T000000_21000101T000000_B02,S2A_OPER_GIP_R2EOB2_MPC__20190412T145327_V20190429T000000_21000101T000000_B10,S2A_OPER_GIP_R2EOB2_MPC__20190412T145327_V20190429T000000_21000101T000000_B07,S2A_OPER_GIP_R2EOB2_MPC__20190412T145327_V20190429T000000_21000101T000000_B08,S2A_OPER_GIP_R2EOB2_MPC__20190412T145327_V20190429T000000_21000101T000000_B05,S2A_OPER_GIP_R2EQOG_MPC__20231108T144900_V20231109T000000_21000101T000000_B03,S2A_OPER_GIP_R2EQOG_MPC__20231108T144900_V20231109T000000_21000101T000000_B8A,S2A_OPER_GIP_R2EQOG_MPC__20231108T144900_V20231109T000000_21000101T000000_B11,S2A_OPER_GIP_R2EQOG_MPC__20231108T144900_V20231109T000000_21000101T000000_B12,S2A_OPER_GIP_R2EQOG_MPC__20231108T144900_V20231109T000000_21000101T000000_B10,S2A_OPER_GIP_R2EQOG_MPC__20231108T144900_V20231109T000000_21000101T000000_B06,S2A_OPER_GIP_R2EQOG_MPC__20231108T144900_V20231109T000000_21000101T000000_B04,S2A_OPER_GIP_R2EQOG_MPC__20231108T144900_V20231109T000000_21000101T000000_B05,S2A_OPER_GIP_R2EQOG_MPC__20231108T144900_V20231109T000000_21000101T000000_B02,S2A_OPER_GIP_R2EQOG_MPC__20231108T144900_V20231109T000000_21000101T000000_B08,S2A_OPER_GIP_R2EQOG_MPC__20231108T144900_V20231109T000000_21000101T000000_B09,S2A_OPER_GIP_R2EQOG_MPC__20231108T144900_V20231109T000000_21000101T000000_B01,S2A_OPER_GIP_R2EQOG_MPC__20231108T144900_V20231109T000000_21000101T000000_B07,S2A_OPER_GIP_R2L2NC_MPC__20150605T094742_V20150622T000000_21000101T000000_B04,S2A_OPER_GIP_R2L2NC_MPC__20150605T094742_V20150622T000000_21000101T000000_B09,S2A_OPER_GIP_R2L2NC_MPC__20150605T094742_V20150622T000000_21000101T000000_B11,S2A_OPER_GIP_R2L2NC_MPC__20150605T094742_V20150622T000000_21000101T000000_B07,S2A_OPER_GIP_R2L2NC_MPC__20150605T094742_V20150622T000000_21000101T000000_B05,S2A_OPER_GIP_R2L2NC_MPC__20150605T094742_V20150622T000000_21000101T000000_B08,S2A_OPER_GIP_R2L2NC_MPC__20150605T094742_V20150622T000000_21000101T000000_B8A,S2A_OPER_GIP_R2L2NC_MPC__20150605T094742_V20150622T000000_21000101T000000_B01,S2A_OPER_GIP_R2L2NC_MPC__20150605T094742_V20150622T000000_21000101T000000_B10,S2A_OPER_GIP_R2L2NC_MPC__20150605T094742_V20150622T000000_21000101T000000_B06,S2A_OPER_GIP_R2L2NC_MPC__20150605T094742_V20150622T000000_21000101T000000_B12,S2A_OPER_GIP_R2L2NC_MPC__20150605T094742_V20150622T000000_21000101T000000_B02,S2A_OPER_GIP_R2L2NC_MPC__20150605T094741_V20150622T000000_21000101T000000_B03,S2A_OPER_GIP_R2NOMO_MPC__20150605T094803_V20150622T000000_21000101T000000_B00,S2A_OPER_GIP_R2PARA_MPC__20221206T000009_V20221206T073000_21000101T000000_B00,S2A_OPER_GIP_R2SWIR_MPC__20180406T000021_V20180604T100000_21000101T000000_B00,S2A_OPER_GIP_R2WAFI_MPC__20150605T094742_V20150622T000000_21000101T000000_B05,S2A_OPER_GIP_R2WAFI_MPC__20150605T094742_V20150622T000000_21000101T000000_B04,S2A_OPER_GIP_R2WAFI_MPC__20150605T094742_V20150622T000000_21000101T000000_B07,S2A_OPER_GIP_R2WAFI_MPC__20150605T094742_V20150622T000000_21000101T000000_B06,S2A_OPER_GIP_R2WAFI_MPC__20150605T094742_V20150622T000000_21000101T000000_B09,S2A_OPER_GIP_R2WAFI_MPC__20150605T094742_V20150622T000000_21000101T000000_B8A,S2A_OPER_GIP_R2WAFI_MPC__20150605T094742_V20150622T000000_21000101T000000_B08,S2A_OPER_GIP_R2WAFI_MPC__20150605T094742_V20150622T000000_21000101T000000_B10,S2A_OPER_GIP_R2WAFI_MPC__20150605T094742_V20150622T000000_21000101T000000_B12,S2A_OPER_GIP_R2WAFI_MPC__20150605T094742_V20150622T000000_21000101T000000_B11,S2A_OPER_GIP_R2WAFI_MPC__20150605T094742_V20150622T000000_21000101T000000_B01,S2A_OPER_GIP_R2WAFI_MPC__20150605T094742_V20150622T000000_21000101T000000_B03,S2A_OPER_GIP_R2WAFI_MPC__20150605T094742_V20150622T000000_21000101T000000_B02,S2A_OPER_GIP_RESPAR_MPC__20150605T094736_V20150622T000000_21000101T000000_B00,S2A_OPER_GIP_SPAMOD_MPC__20231122T110026_V20231123T010000_21000101T000000_B00,S2A_OPER_GIP_TILPAR_MPC__20151209T095117_V20150622T000000_21000101T000000_B00,S2A_OPER_GIP_VIEDIR_MPC__20151117T131050_V20150703T000000_21000101T000000_B05,S2A_OPER_GIP_VIEDIR_MPC__20151117T131048_V20150703T000000_21000101T000000_B01,S2A_OPER_GIP_VIEDIR_MPC__20151117T131049_V20150703T000000_21000101T000000_B02,S2A_OPER_GIP_VIEDIR_MPC__20151117T131050_V20150703T000000_21000101T000000_B8A,S2A_OPER_GIP_VIEDIR_MPC__20151117T131049_V20150703T000000_21000101T000000_B03,S2A_OPER_GIP_VIEDIR_MPC__20151117T131050_V20150703T000000_21000101T000000_B07,S2A_OPER_GIP_VIEDIR_MPC__20151117T131050_V20150703T000000_21000101T000000_B10,S2A_OPER_GIP_VIEDIR_MPC__20151117T131049_V20150703T000000_21000101T000000_B04,S2A_OPER_GIP_VIEDIR_MPC__20151117T131050_V20150703T000000_21000101T000000_B06,S2A_OPER_GIP_VIEDIR_MPC__20151117T131050_V20150703T000000_21000101T000000_B09,S2A_OPER_GIP_VIEDIR_MPC__20151117T131050_V20150703T000000_21000101T000000_B08,S2A_OPER_GIP_VIEDIR_MPC__20151117T131050_V20150703T000000_21000101T000000_B11,S2A_OPER_GIP_VIEDIR_MPC__20151117T131051_V20150703T000000_21000101T000000_B12,S2__OPER_GIP_L2ACSC_MPC__20220121T000003_V20220125T022000_21000101T000000_B00,S2__OPER_GIP_L2ACAC_MPC__20220121T000004_V20220125T022000_21000101T000000_B00,S2__OPER_GIP_PROBA2_MPC__20231208T000510_V20231213T070000_21000101T000000_B00&#x27;, &#x27;used CAMS file names&#x27;: &#x27;S2__OPER_AUX_CAMSFO_ADG__20240101T000000_V20240101T000000_20240103T010000&#x27;, &#x27;used DEM file name&#x27;: &#x27;CopernicusDEM30&#x27;, &#x27;used ECMWF file names&#x27;: &#x27;S2__OPER_AUX_ECMWFD_ADG__20240101T000000_V20240101T090000_20240103T030000&#x27;, &#x27;used ESA CCI land cover map file name&#x27;: &#x27;ESACCI-LC-L4-LCCS-Map-300m-P1Y-2015-v2.0.7.tif&#x27;, &#x27;used ESA CCI snow condition map folder name&#x27;: &#x27;ESACCI-LC-L4-Snow-Cond-500m-MONTHLY-2000-2012-v2.4&#x27;, &#x27;used ESA CCI water bodies map file name&#x27;: &#x27;ESACCI-LC-L4-WB-Map-150m-P13Y-2000-v4.0.tif&#x27;, &#x27;used GRI file name&#x27;: &#x27;S2A_OPER_GRI_MSIL1B_MPC__20160521T184422_S20151114T103133,S2A_OPER_GRI_MSIL1B_MPC__20160531T210152_S20160512T102954,S2A_OPER_GRI_MSIL1B_MPC__20160907T095549_S20160422T103554,S2A_OPER_GRI_MSIL1B_MPC__20161018T120000_S20150826T102633&#x27;, &#x27;used IERS file name&#x27;: &#x27;S2__OPER_AUX_UT1UTC_PDMC_20231230T000000_V20231230T000000_20241229T000000&#x27;, &#x27;used LibRadTran Look-Up Tables list&#x27;: &#x27;None&#x27;, &#x27;used snow climatology map file name&#x27;: &#x27;GlobalSnowMap.tiff&#x27;}, &#x27;organisation&#x27;: &#x27;ESA&#x27;, &#x27;output&#x27;: &#x27;S2MSIL2A_etc&#x27;, &#x27;processor&#x27;: &#x27;Sentinel-2 IPF&#x27;, &#x27;type&#x27;: &#x27;Level-2A Product&#x27;, &#x27;version&#x27;: &#x27;???&#x27;}]</dd><dt><span>horizontal_CRS_code :</span></dt><dd>EPSG:32632</dd><dt><span>horizontal_CRS_name :</span></dt><dd>WGS84 / UTM zone 32N</dd><dt><span>mean_sensing_time :</span></dt><dd>2024-01-01T10:27:45.075597Z</dd><dt><span>mean_sun_azimuth_angle_in_deg_for_all_bands_all_detectors :</span></dt><dd>166.26310268032</dd><dt><span>mean_sun_zenith_angle_in_deg_for_all_bands_all_detectors :</span></dt><dd>71.5320434839285</dd><dt><span>mean_value_of_aerosol_optical_thickness :</span></dt><dd>0.049492</dd><dt><span>mean_value_of_total_water_vapour_content :</span></dt><dd>0.465026</dd><dt><span>meteo :</span></dt><dd>{&#x27;source&#x27;: &#x27;ECMWF&#x27;, &#x27;type&#x27;: &#x27;FORECAST&#x27;}</dd><dt><span>multispectral_registration_assessment :</span></dt><dd>N/A</dd><dt><span>onboard_compression_flag :</span></dt><dd>true</dd><dt><span>onboard_equalization_flag :</span></dt><dd>null</dd><dt><span>optical_crosstalk_correction_flag :</span></dt><dd>null</dd><dt><span>ozone_source :</span></dt><dd>AUX_ECMWFT</dd><dt><span>ozone_value :</span></dt><dd>345.061736</dd><dt><span>percentage_of_degraded_MSI_data :</span></dt><dd>0.0</dd><dt><span>planimetric_stability_assessment_from_AOCS :</span></dt><dd>\n",
-       "          </dd><dt><span>product_quality_status :</span></dt><dd>PASSED,PASSED,PASSED,PASSED,PASSED,PASSED</dd><dt><span>reflectance_correction_factor_from_the_Sun-Earth_distance_variation_computed_using_the_acquisition_date :</span></dt><dd>1.03410745089651</dd><dt><span>spectral_band_of_reference :</span></dt><dd>N/A</dd></dl></div></li></ul></div></div>"
+       "       7890810, 7890750, 7890690, 7890630, 7890570, 7890510, 7890450, 7890390,\n",
+       "       7890330, 7890270],\n",
+       "      dtype=&#x27;int64&#x27;, name=&#x27;y&#x27;, length=1830))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-732dad82-47f7-40db-9dee-d5695fc61460' class='xr-section-summary-in' type='checkbox'  ><label for='section-732dad82-47f7-40db-9dee-d5695fc61460' class='xr-section-summary' >Attributes: <span>(34)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>AOT_retrieval_model :</span></dt><dd>CAMS</dd><dt><span>L0_ancillary_data_quality :</span></dt><dd>4</dd><dt><span>L0_ephemeris_data_quality :</span></dt><dd>5</dd><dt><span>NUC_table_ID :</span></dt><dd>2</dd><dt><span>SWIR_rearrangement_flag :</span></dt><dd>null</dd><dt><span>UTM_zone_identification :</span></dt><dd>S2B_OPER_MSI_L2A_TL_2BPS_20250415T181516_A042350_T25WEV_N05.11</dd><dt><span>absolute_location_assessment_from_AOCS :</span></dt><dd>\n",
+       "          </dd><dt><span>band_description :</span></dt><dd>{&#x27;01&#x27;: {&#x27;bandwidth&#x27;: &#x27;20.0&#x27;, &#x27;central_wavelength&#x27;: 442.3, &#x27;onboard_compression_rate&#x27;: &#x27;2.655&#x27;, &#x27;onboard_integration_time&#x27;: &#x27;7.22833&#x27;, &#x27;physical_gain&#x27;: &#x27;3.95173019&#x27;, &#x27;spectral_response_step&#x27;: &#x27;1&#x27;, &#x27;spectral_response_values&#x27;: &#x27;0.0062411 0.01024045 0.00402983 0.00642179 0.00552753 0.0065525 0.00409887 0.006297 0.00436742 0.00233356 0.00058162 0.00202276 0.00294328 0.00485362 0.00317041 0.00237657 0.00234612 0.00440152 0.01292397 0.05001678 0.18650104 0.45441623 0.72307877 0.83999211 0.86456334 0.87472096 0.89215296 0.91090814 0.92588017 0.93924094 0.94491826 0.95078529 0.96803023 0.99939195 1 0.97548364 0.96148351 0.94986211 0.91841452 0.87989802 0.80383677 0.59752075 0.30474132 0.10798014 0.0304465 0.00885119&#x27;, &#x27;units&#x27;: &#x27;nm&#x27;, &#x27;wavelength_max&#x27;: 456.0, 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&#x27;S2MSIL0__etc&#x27;, &#x27;list of used processing parameters file names&#x27;: 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B_OPER_GIP_R2DEPI_MPC__20250312T000008_V20250313T000000_21000101T000000_B00,S2B_OPER_GIP_R2EOB2_MPC__20170517T113826_V20170101T000005_21000101T000000_B12,S2B_OPER_GIP_R2EOB2_MPC__20170517T113826_V20170101T000005_21000101T000000_B03,S2B_OPER_GIP_R2EOB2_MPC__20170517T113826_V20170101T000005_21000101T000000_B05,S2B_OPER_GIP_R2EOB2_MPC__20170517T113826_V20170101T000005_21000101T000000_B08,S2B_OPER_GIP_R2EOB2_MPC__20170517T113826_V20170101T000005_21000101T000000_B04,S2B_OPER_GIP_R2EOB2_MPC__20170517T113826_V20170101T000005_21000101T000000_B10,S2B_OPER_GIP_R2EOB2_MPC__20170517T113826_V20170101T000005_21000101T000000_B01,S2B_OPER_GIP_R2EOB2_MPC__20170517T113826_V20170101T000005_21000101T000000_B06,S2B_OPER_GIP_R2EOB2_MPC__20170517T113826_V20170101T000005_21000101T000000_B09,S2B_OPER_GIP_R2EOB2_MPC__20170517T113826_V20170101T000005_21000101T000000_B02,S2B_OPER_GIP_R2EOB2_MPC__20170517T113826_V20170101T000005_21000101T000000_B8A,S2B_OPER_GIP_R2EOB2_MPC__20170517T113826_V20170101T000005_21000101T000000_B07,S2B_OPER_GIP_R2EOB2_MPC__20170517T113826_V20170101T000005_21000101T000000_B11,S2B_OPER_GIP_R2EQOG_MPC__20250318T000000_V20250319T010000_21000101T000000_B01,S2B_OPER_GIP_R2EQOG_MPC__20250318T000000_V20250319T010000_21000101T000000_B10,S2B_OPER_GIP_R2EQOG_MPC__20250318T000000_V20250319T010000_21000101T000000_B8A,S2B_OPER_GIP_R2EQOG_MPC__20250318T000000_V20250319T010000_21000101T000000_B07,S2B_OPER_GIP_R2EQOG_MPC__20250318T000000_V20250319T010000_21000101T000000_B09,S2B_OPER_GIP_R2EQOG_MPC__20250318T000000_V20250319T010000_21000101T000000_B06,S2B_OPER_GIP_R2EQOG_MPC__20250318T000000_V20250319T010000_21000101T000000_B04,S2B_OPER_GIP_R2EQOG_MPC__20250318T000000_V20250319T010000_21000101T000000_B05,S2B_OPER_GIP_R2EQOG_MPC__20250318T000000_V20250319T010000_21000101T000000_B11,S2B_OPER_GIP_R2EQOG_MPC__20250318T000000_V20250319T010000_21000101T000000_B02,S2B_OPER_GIP_R2EQOG_MPC__20250318T000000_V20250319T010000_21000101T000000_B03,S2B_OPER_GIP_R2EQOG_MPC__20250318T000000_V20250319T010000_21000101T000000_B08,S2B_OPER_GIP_R2EQOG_MPC__20250318T000000_V20250319T010000_21000101T000000_B12,S2B_OPER_GIP_R2L2NC_MPC__20170206T103040_V20170101T000000_21000101T000000_B04,S2B_OPER_GIP_R2L2NC_MPC__20170206T103040_V20170101T000000_21000101T000000_B09,S2B_OPER_GIP_R2L2NC_MPC__20170206T103040_V20170101T000000_21000101T000000_B10,S2B_OPER_GIP_R2L2NC_MPC__20170206T103039_V20170101T000000_21000101T000000_B01,S2B_OPER_GIP_R2L2NC_MPC__20170206T103040_V20170101T000000_21000101T000000_B12,S2B_OPER_GIP_R2L2NC_MPC__20170206T103040_V20170101T000000_21000101T000000_B02,S2B_OPER_GIP_R2L2NC_MPC__20170206T103040_V20170101T000000_21000101T000000_B08,S2B_OPER_GIP_R2L2NC_MPC__20170206T103040_V20170101T000000_21000101T000000_B8A,S2B_OPER_GIP_R2L2NC_MPC__20170206T103040_V20170101T000000_21000101T000000_B03,S2B_OPER_GIP_R2L2NC_MPC__20170206T103040_V20170101T000000_21000101T000000_B05,S2B_OPER_GIP_R2L2NC_MPC__20170206T103040_V20170101T000000_21000101T000000_B06,S2B_OPER_GIP_R2L2NC_MPC__20170206T103040_V20170101T000000_21000101T000000_B07,S2B_OPER_GIP_R2L2NC_MPC__20170206T103040_V20170101T000000_21000101T000000_B11,S2B_OPER_GIP_R2NOMO_MPC__20250117T000002_V20250121T080000_21000101T000000_B00,S2B_OPER_GIP_R2PARA_MPC__20221206T000009_V20221206T064000_21000101T000000_B00,S2B_OPER_GIP_R2SWIR_MPC__20170523T080300_V20170517T090600_21000101T000000_B00,S2B_OPER_GIP_R2WAFI_MPC__20170206T103047_V20170101T000000_21000101T000000_B02,S2B_OPER_GIP_R2WAFI_MPC__20170206T103039_V20170101T000000_21000101T000000_B04,S2B_OPER_GIP_R2WAFI_MPC__20170206T103047_V20170101T000000_21000101T000000_B10,S2B_OPER_GIP_R2WAFI_MPC__20170206T103047_V20170101T000000_21000101T000000_B8A,S2B_OPER_GIP_R2WAFI_MPC__20170206T103047_V20170101T000000_21000101T000000_B01,S2B_OPER_GIP_R2WAFI_MPC__20170206T103039_V20170101T000000_21000101T000000_B07,S2B_OPER_GIP_R2WAFI_MPC__20170206T103040_V20170101T000000_21000101T000000_B06,S2B_OPER_GIP_R2WAFI_MPC__20170206T103047_V20170101T000000_21000101T000000_B09,S2B_OPER_GIP_R2WAFI_MPC__20170206T103047_V20170101T000000_21000101T000000_B08,S2B_OPER_GIP_R2WAFI_MPC__20170206T103040_V20170101T000000_21000101T000000_B11,S2B_OPER_GIP_R2WAFI_MPC__20170206T103040_V20170101T000000_21000101T000000_B05,S2B_OPER_GIP_R2WAFI_MPC__20170206T103040_V20170101T000000_21000101T000000_B12,S2B_OPER_GIP_R2WAFI_MPC__20170206T103039_V20170101T000000_21000101T000000_B03,S2B_OPER_GIP_RESPAR_MPC__20170206T103032_V20170101T000000_21000101T000000_B00,S2B_OPER_GIP_SPAMOD_MPC__20250128T000036_V20250130T001500_21000101T000000_B00,S2B_OPER_GIP_TILPAR_MPC__20170206T103032_V20170101T000000_21000101T000000_B00,S2B_OPER_GIP_VIEDIR_MPC__20170512T114736_V20170322T000000_21000101T000000_B8A,S2B_OPER_GIP_VIEDIR_MPC__20170512T114736_V20170322T000000_21000101T000000_B01,S2B_OPER_GIP_VIEDIR_MPC__20170512T114736_V20170322T000000_21000101T000000_B11,S2B_OPER_GIP_VIEDIR_MPC__20170512T114736_V20170322T000000_21000101T000000_B08,S2B_OPER_GIP_VIEDIR_MPC__20170512T114736_V20170322T000000_21000101T000000_B03,S2B_OPER_G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&#x27;used CAMS file names&#x27;: &#x27;S2__OPER_AUX_CAMSFO_ADG__20250415T000000_V20250415T000000_20250417T010000&#x27;, &#x27;used DEM file name&#x27;: &#x27;CopernicusDEM30&#x27;, &#x27;used ECMWF file names&#x27;: &#x27;S2__OPER_AUX_ECMWFD_ADG__20250415T000000_V20250415T090000_20250417T030000&#x27;, &#x27;used IERS file name&#x27;: &#x27;S2__OPER_AUX_UT1UTC_PDMC_20250410T000000_V20250411T000000_20260410T000000&#x27;}, &#x27;organisation&#x27;: &#x27;ESA&#x27;, &#x27;output&#x27;: &#x27;S2MSIL1A_etc&#x27;, &#x27;processor&#x27;: &#x27;Sentinel-2 IPF&#x27;, &#x27;type&#x27;: &#x27;Level-1A Product&#x27;, &#x27;version&#x27;: &#x27;???&#x27;}, {&#x27;inputs&#x27;: {&#x27;Level-1A Product&#x27;: &#x27;S2MSIL1A_etc&#x27;, &#x27;list of used processing parameters file names&#x27;: 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&#x27;used CAMS file names&#x27;: &#x27;S2__OPER_AUX_CAMSFO_ADG__20250415T000000_V20250415T000000_20250417T010000&#x27;, &#x27;used DEM file name&#x27;: &#x27;CopernicusDEM30&#x27;, &#x27;used ECMWF file names&#x27;: &#x27;S2__OPER_AUX_ECMWFD_ADG__20250415T000000_V20250415T090000_20250417T030000&#x27;, &#x27;used IERS file name&#x27;: &#x27;S2__OPER_AUX_UT1UTC_PDMC_20250410T000000_V20250411T000000_20260410T000000&#x27;}, &#x27;organisation&#x27;: &#x27;ESA&#x27;, &#x27;output&#x27;: &#x27;S2MSIL1C_etc&#x27;, &#x27;processor&#x27;: &#x27;Sentinel-2 IPF&#x27;, &#x27;type&#x27;: &#x27;Level-1C Product&#x27;, &#x27;version&#x27;: &#x27;???&#x27;}, {&#x27;inputs&#x27;: {&#x27;Level-1C Product&#x27;: &#x27;S2MSIL1C_etc&#x27;, &#x27;list of used processing parameters file names&#x27;: &#x27;S2B_OPER_GIP_PROBAS_MPC__20240717T000511_V20240723T070000_21000101T000000_B00,S2B_OPER_GIP_ATMIMA_MPC__20170206T103051_V20170101T000000_21000101T000000_B00,S2B_OPER_GIP_INVLOC_MPC__20170523T080300_V20170322T000000_21000101T000000_B00,S2B_OPER_GIP_LREXTR_MPC__20210608T000001_V20150622T000000_21000101T000000_B00,S2B_OPER_GIP_OLQCPA_MPC__20250210T000044_V20250211T000000_21000101T000000_B00,S2B_OPER_GIP_ATMSAD_MPC__20170324T155501_V20170306T000000_21000101T000000_B00,S2B_OPER_GIP_BLINDP_MPC__20170221T000000_V20170101T000000_21000101T000000_B00,S2B_OPER_GIP_CLOINV_MPC__20210609T000002_V20210823T030000_21000101T000000_B00,S2B_OPER_GIP_CLOPAR_MPC__20220120T000001_V20220125T022000_21000101T000000_B00,S2B_OPER_GIP_CONVER_MPC__20150710T131444_V20150627T000000_21000101T000000_B00,S2B_OPER_GIP_DATATI_MPC__20170428T123038_V20170322T000000_21000101T000000_B00,S2B_OPER_GIP_DECOMP_MPC__20121031T075922_V19830101T000000_21000101T000000_B00,S2__OPER_GIP_EARMOD_MPC__20210608T000001_V20150622T000000_21000101T000000_B00,S2B_OPER_GIP_ECMWFP_MPC__20121031T075922_V19830101T000000_21000101T000000_B00,S2B_OPER_GIP_G2PARA_MPC__20250128T000031_V20250130T001500_21000101T000000_B00,S2B_OPER_GIP_G2PARE_MPC__20170206T103032_V20170101T000000_21000101T000000_B00,S2B_OPER_GIP_GEOPAR_MPC__20170206T103032_V20170101T000000_21000101T000000_B00,S2B_OPER_GIP_HRTPAR_MPC__20221206T000000_V20221206T064000_21000101T000000_B00,S2B_OPER_GIP_INTDET_MPC__20220120T000010_V20220125T022000_21000101T000000_B00,S2B_OPER_GIP_JP2KPA_MPC__20220120T000006_V20220125T022000_21000101T000000_B00,S2B_OPER_GIP_MASPAR_MPC__20220120T000002_V20220125T022000_21000101T000000_B00,S2B_OPER_GIP_PRDLOC_MPC__20180301T130000_V20180305T014000_21000101T000000_B00,S2B_OPER_GIP_R2ABCA_MPC__20250318T000000_V20250319T010000_21000101T000000_B00,S2B_OPER_GIP_R2BINN_MPC__20170206T103032_V20170101T000000_21000101T000000_B00,S2B_OPER_GIP_R2CRCO_MPC__20220120T000002_V20220125T022000_21000101T000000_B00,S2B_OPER_GIP_R2DECT_MPC__20170206T103038_V20170101T000000_21000101T000000_B08,S2B_OPER_GIP_R2DECT_MPC__20170206T103038_V20170101T000000_21000101T000000_B02,S2B_OPER_GIP_R2DECT_MPC__20170206T103038_V20170101T000000_21000101T000000_B06,S2B_OPER_GIP_R2DECT_MPC__20170206T103038_V20170101T000000_21000101T000000_B03,S2B_OPER_GIP_R2DECT_MPC__20170206T103038_V20170101T000000_21000101T000000_B01,S2B_OPER_GIP_R2DECT_MPC__20170206T103038_V20170101T000000_21000101T000000_B05,S2B_OPER_GIP_R2DECT_MPC__20170206T103038_V20170101T000000_21000101T000000_B07,S2B_OPER_GIP_R2DECT_MPC__20170206T103038_V20170101T000000_21000101T000000_B04,S2B_OPER_GIP_R2DECT_MPC__20170206T103038_V20170101T000000_21000101T000000_B10,S2B_OPER_GIP_R2DECT_MPC__20170206T103038_V20170101T000000_21000101T000000_B8A,S2B_OPER_GIP_R2DECT_MPC__20170206T103038_V20170101T000000_21000101T000000_B11,S2B_OPER_GIP_R2DECT_MPC__20170206T103038_V20170101T000000_21000101T000000_B12,S2B_OPER_GIP_R2DECT_MPC__20170206T103038_V20170101T000000_21000101T000000_B09,S2B_OPER_GIP_R2DEFI_MPC__20170206T103038_V20170101T000000_21000101T000000_B01,S2B_OPER_GIP_R2DEFI_MPC__20170206T103039_V20170101T000000_21000101T000000_B11,S2B_OPER_GIP_R2DEFI_MPC__20170206T103039_V20170101T000000_21000101T000000_B8A,S2B_OPER_GIP_R2DEFI_MPC__20170206T103039_V20170101T000000_21000101T000000_B08,S2B_OPER_GIP_R2DEFI_MPC__20170206T103039_V20170101T000000_21000101T000000_B07,S2B_OPER_GIP_R2DEFI_MPC__20170206T103039_V20170101T000000_21000101T000000_B05,S2B_OPER_GIP_R2DEFI_MPC__20170206T103039_V20170101T000000_21000101T000000_B04,S2B_OPER_GIP_R2DEFI_MPC__20170206T103039_V20170101T000000_21000101T000000_B12,S2B_OPER_GIP_R2DEFI_MPC__20170206T103040_V20170101T000000_21000101T000000_B10,S2B_OPER_GIP_R2DEFI_MPC__20170206T103039_V20170101T000000_21000101T000000_B03,S2B_OPER_GIP_R2DEFI_MPC__20170206T103038_V20170101T000000_21000101T000000_B02,S2B_OPER_GIP_R2DEFI_MPC__20170206T103040_V20170101T000000_21000101T000000_B09,S2B_OPER_GIP_R2DEFI_MPC__20170206T103039_V20170101T000000_21000101T000000_B06,S2B_OPER_GIP_R2DENT_MPC__20170206T103039_V20170101T000000_21000101T000000_B04,S2B_OPER_GIP_R2DENT_MPC__20170206T103040_V20170101T000000_21000101T000000_B8A,S2B_OPER_GIP_R2DENT_MPC__20170206T103039_V20170101T000000_21000101T000000_B12,S2B_OPER_GIP_R2DENT_MPC__20170206T103040_V20170101T000000_21000101T000000_B10,S2B_OPER_GIP_R2DENT_MPC__20170206T103039_V20170101T000000_21000101T000000_B09,S2B_OPER_GIP_R2DENT_MPC__20170206T103039_V20170101T000000_21000101T000000_B02,S2B_OPER_GIP_R2DENT_MPC__20170206T103039_V20170101T000000_21000101T000000_B08,S2B_OPER_GIP_R2DENT_MPC__20170206T103040_V20170101T000000_21000101T000000_B07,S2B_OPER_GIP_R2DENT_MPC__20170206T103039_V20170101T000000_21000101T000000_B06,S2B_OPER_GIP_R2DENT_MPC__20170206T103039_V20170101T000000_21000101T000000_B01,S2B_OPER_GIP_R2DENT_MPC__20170206T103039_V20170101T000000_21000101T000000_B05,S2B_OPER_GIP_R2DENT_MPC__20170206T103039_V20170101T000000_21000101T000000_B11,S2B_OPER_GIP_R2DENT_MPC__20170206T103040_V20170101T000000_21000101T000000_B03,S2B_OPER_GIP_R2DEPI_MPC__20250312T000008_V20250313T000000_21000101T000000_B00,S2B_OPER_GIP_R2EOB2_MPC__20170517T113826_V20170101T000005_21000101T000000_B12,S2B_OPER_GIP_R2EOB2_MPC__20170517T113826_V20170101T000005_21000101T000000_B03,S2B_OPER_GIP_R2EOB2_MPC__20170517T113826_V20170101T000005_21000101T000000_B05,S2B_OPER_GIP_R2EOB2_MPC__20170517T113826_V20170101T000005_21000101T000000_B08,S2B_OPER_GIP_R2EOB2_MPC__20170517T113826_V20170101T000005_21000101T000000_B04,S2B_OPER_GIP_R2EOB2_MPC__20170517T113826_V20170101T000005_21000101T000000_B10,S2B_OPER_GIP_R2EOB2_MPC__20170517T113826_V20170101T000005_21000101T000000_B01,S2B_OPER_GIP_R2EOB2_MPC__20170517T113826_V20170101T000005_21000101T000000_B06,S2B_OPER_GIP_R2EOB2_MPC__20170517T113826_V20170101T000005_21000101T000000_B09,S2B_OPER_GIP_R2EOB2_MPC__20170517T113826_V20170101T000005_21000101T000000_B02,S2B_OPER_GIP_R2EOB2_MPC__20170517T113826_V20170101T000005_21000101T000000_B8A,S2B_OPER_GIP_R2EOB2_MPC__20170517T113826_V20170101T000005_21000101T000000_B07,S2B_OPER_GIP_R2EOB2_MPC__20170517T113826_V20170101T000005_21000101T000000_B11,S2B_OPER_GIP_R2EQOG_MPC__20250318T000000_V20250319T010000_21000101T000000_B01,S2B_OPER_GIP_R2EQOG_MPC__20250318T000000_V20250319T010000_21000101T000000_B10,S2B_OPER_GIP_R2EQOG_MPC__20250318T000000_V20250319T010000_21000101T000000_B8A,S2B_OPER_GIP_R2EQOG_MPC__20250318T000000_V20250319T010000_21000101T000000_B07,S2B_OPER_GIP_R2EQOG_MPC__20250318T000000_V20250319T010000_21000101T000000_B09,S2B_OPER_GIP_R2EQOG_MPC__20250318T000000_V20250319T010000_21000101T000000_B06,S2B_OPER_GIP_R2EQOG_MPC__20250318T000000_V20250319T010000_21000101T000000_B04,S2B_OPER_GIP_R2EQOG_MPC__20250318T000000_V20250319T010000_21000101T000000_B05,S2B_OPER_GIP_R2EQOG_MPC__20250318T000000_V20250319T010000_21000101T000000_B11,S2B_OPER_GIP_R2EQOG_MPC__20250318T000000_V20250319T010000_21000101T000000_B02,S2B_OPER_GIP_R2EQOG_MPC__20250318T000000_V20250319T010000_21000101T000000_B03,S2B_OPER_GIP_R2EQOG_MPC__20250318T000000_V20250319T010000_21000101T000000_B08,S2B_OPER_GIP_R2EQOG_MPC__20250318T000000_V20250319T010000_21000101T000000_B12,S2B_OPER_GIP_R2L2NC_MPC__20170206T103040_V20170101T000000_21000101T000000_B04,S2B_OPER_GIP_R2L2NC_MPC__20170206T103040_V20170101T000000_21000101T000000_B09,S2B_OPER_GIP_R2L2NC_MPC__20170206T103040_V20170101T000000_21000101T000000_B10,S2B_OPER_GIP_R2L2NC_MPC__20170206T103039_V20170101T000000_21000101T000000_B01,S2B_OPER_GIP_R2L2NC_MPC__20170206T103040_V20170101T000000_21000101T000000_B12,S2B_OPER_GIP_R2L2NC_MPC__20170206T103040_V20170101T000000_21000101T000000_B02,S2B_OPER_GIP_R2L2NC_MPC__20170206T103040_V20170101T000000_21000101T000000_B08,S2B_OPER_GIP_R2L2NC_MPC__20170206T103040_V20170101T000000_21000101T000000_B8A,S2B_OPER_GIP_R2L2NC_MPC__20170206T103040_V20170101T000000_21000101T000000_B03,S2B_OPER_GIP_R2L2NC_MPC__20170206T103040_V20170101T000000_21000101T000000_B05,S2B_OPER_GIP_R2L2NC_MPC__20170206T103040_V20170101T000000_21000101T000000_B06,S2B_OPER_GIP_R2L2NC_MPC__20170206T103040_V20170101T000000_21000101T000000_B07,S2B_OPER_GIP_R2L2NC_MPC__20170206T103040_V20170101T000000_21000101T000000_B11,S2B_OPER_GIP_R2NOMO_MPC__20250117T000002_V20250121T080000_21000101T000000_B00,S2B_OPER_GIP_R2PARA_MPC__20221206T000009_V20221206T064000_21000101T000000_B00,S2B_OPER_GIP_R2SWIR_MPC__20170523T080300_V20170517T090600_21000101T000000_B00,S2B_OPER_GIP_R2WAFI_MPC__20170206T103047_V20170101T000000_21000101T000000_B02,S2B_OPER_GIP_R2WAFI_MPC__20170206T103039_V20170101T000000_21000101T000000_B04,S2B_OPER_GIP_R2WAFI_MPC__20170206T103047_V20170101T000000_21000101T000000_B10,S2B_OPER_GIP_R2WAFI_MPC__20170206T103047_V20170101T000000_21000101T000000_B8A,S2B_OPER_GIP_R2WAFI_MPC__20170206T103047_V20170101T000000_21000101T000000_B01,S2B_OPER_GIP_R2WAFI_MPC__20170206T103039_V20170101T000000_21000101T000000_B07,S2B_OPER_GIP_R2WAFI_MPC__20170206T103040_V20170101T000000_21000101T000000_B06,S2B_OPER_GIP_R2WAFI_MPC__20170206T103047_V20170101T000000_21000101T000000_B09,S2B_OPER_GIP_R2WAFI_MPC__20170206T103047_V20170101T000000_21000101T000000_B08,S2B_OPER_GIP_R2WAFI_MPC__20170206T103040_V20170101T000000_21000101T000000_B11,S2B_OPER_GIP_R2WAFI_MPC__20170206T103040_V20170101T000000_21000101T000000_B05,S2B_OPER_GIP_R2WAFI_MPC__20170206T103040_V20170101T000000_21000101T000000_B12,S2B_OPER_GIP_R2WAFI_MPC__20170206T103039_V20170101T000000_21000101T000000_B03,S2B_OPER_GIP_RESPAR_MPC__20170206T103032_V20170101T000000_21000101T000000_B00,S2B_OPER_GIP_SPAMOD_MPC__20250128T000036_V20250130T001500_21000101T000000_B00,S2B_OPER_GIP_TILPAR_MPC__20170206T103032_V20170101T000000_21000101T000000_B00,S2B_OPER_GIP_VIEDIR_MPC__20170512T114736_V20170322T000000_21000101T000000_B8A,S2B_OPER_GIP_VIEDIR_MPC__20170512T114736_V20170322T000000_21000101T000000_B01,S2B_OPER_GIP_VIEDIR_MPC__20170512T114736_V20170322T000000_21000101T000000_B11,S2B_OPER_GIP_VIEDIR_MPC__20170512T114736_V20170322T000000_21000101T000000_B08,S2B_OPER_GIP_VIEDIR_MPC__20170512T114736_V20170322T000000_21000101T000000_B03,S2B_OPER_GIP_VIEDIR_MPC__20170512T114736_V20170322T000000_21000101T000000_B07,S2B_OPER_GIP_VIEDIR_MPC__20170512T114736_V20170322T000000_21000101T000000_B02,S2B_OPER_GIP_VIEDIR_MPC__20170512T114736_V20170322T000000_21000101T000000_B12,S2B_OPER_GIP_VIEDIR_MPC__20170512T114736_V20170322T000000_21000101T000000_B04,S2B_OPER_GIP_VIEDIR_MPC__20170512T114736_V20170322T000000_21000101T000000_B06,S2B_OPER_GIP_VIEDIR_MPC__20170512T114736_V20170322T000000_21000101T000000_B09,S2B_OPER_GIP_VIEDIR_MPC__20170512T114736_V20170322T000000_21000101T000000_B05,S2B_OPER_GIP_VIEDIR_MPC__20170512T114736_V20170322T000000_21000101T000000_B10,S2__OPER_GIP_L2ACSC_MPC__20220121T000003_V20220125T022000_21000101T000000_B00,S2__OPER_GIP_L2ACAC_MPC__20220121T000004_V20220125T022000_21000101T000000_B00,S2__OPER_GIP_PROBA2_MPC__20240809T000511_V20240813T070000_21000101T000000_B00&#x27;, &#x27;used CAMS file names&#x27;: &#x27;S2__OPER_AUX_CAMSFO_ADG__20250415T000000_V20250415T000000_20250417T010000&#x27;, &#x27;used DEM file name&#x27;: &#x27;CopernicusDEM30&#x27;, &#x27;used ECMWF file names&#x27;: &#x27;S2__OPER_AUX_ECMWFD_ADG__20250415T000000_V20250415T090000_20250417T030000&#x27;, &#x27;used ESA CCI land cover map file name&#x27;: &#x27;ESACCI-LC-L4-LCCS-Map-300m-P1Y-2015-v2.0.7.tif&#x27;, &#x27;used ESA CCI snow condition map folder name&#x27;: &#x27;ESACCI-LC-L4-Snow-Cond-500m-MONTHLY-2000-2012-v2.4&#x27;, &#x27;used ESA CCI water bodies map file name&#x27;: &#x27;ESACCI-LC-L4-WB-Map-150m-P13Y-2000-v4.0.tif&#x27;, &#x27;used IERS file name&#x27;: &#x27;S2__OPER_AUX_UT1UTC_PDMC_20250410T000000_V20250411T000000_20260410T000000&#x27;, &#x27;used LibRadTran Look-Up Tables list&#x27;: &#x27;None&#x27;, &#x27;used snow climatology map file name&#x27;: &#x27;GlobalSnowMap.tiff&#x27;}, &#x27;organisation&#x27;: &#x27;ESA&#x27;, &#x27;output&#x27;: &#x27;S2MSIL2A_etc&#x27;, &#x27;processor&#x27;: &#x27;Sentinel-2 IPF&#x27;, &#x27;type&#x27;: &#x27;Level-2A Product&#x27;, &#x27;version&#x27;: &#x27;???&#x27;}]</dd><dt><span>horizontal_CRS_code :</span></dt><dd>EPSG:32625</dd><dt><span>horizontal_CRS_name :</span></dt><dd>WGS84 / UTM zone 25N</dd><dt><span>mean_sensing_time :</span></dt><dd>2025-04-15T14:32:15.958111Z</dd><dt><span>mean_sun_azimuth_angle_in_deg_for_all_bands_all_detectors :</span></dt><dd>187.441465289186</dd><dt><span>mean_sun_zenith_angle_in_deg_for_all_bands_all_detectors :</span></dt><dd>61.7422786341979</dd><dt><span>mean_value_of_aerosol_optical_thickness :</span></dt><dd>0.063097</dd><dt><span>mean_value_of_total_water_vapour_content :</span></dt><dd>0.159684</dd><dt><span>meteo :</span></dt><dd>{&#x27;source&#x27;: &#x27;ECMWF&#x27;, &#x27;type&#x27;: &#x27;FORECAST&#x27;}</dd><dt><span>multispectral_registration_assessment :</span></dt><dd>N/A</dd><dt><span>onboard_compression_flag :</span></dt><dd>true</dd><dt><span>onboard_equalization_flag :</span></dt><dd>null</dd><dt><span>optical_crosstalk_correction_flag :</span></dt><dd>null</dd><dt><span>ozone_source :</span></dt><dd>AUX_ECMWFT</dd><dt><span>ozone_value :</span></dt><dd>371.899646</dd><dt><span>percentage_of_degraded_MSI_data :</span></dt><dd>0.0</dd><dt><span>planimetric_stability_assessment_from_AOCS :</span></dt><dd>\n",
+       "          </dd><dt><span>product_quality_status :</span></dt><dd>PASSED,PASSED,PASSED,PASSED,PASSED,PASSED</dd><dt><span>reflectance_correction_factor_from_the_Sun-Earth_distance_variation_computed_using_the_acquisition_date :</span></dt><dd>0.995898443385998</dd><dt><span>spectral_band_of_reference :</span></dt><dd>N/A</dd></dl></div></li></ul></div></div>"
       ],
       "text/plain": [
        "<xarray.Dataset> Size: 332MB\n",
        "Dimensions:      (x: 1830, y: 1830)\n",
        "Coordinates:\n",
        "  * x            (x) int64 15kB 500010 500070 500130 ... 609630 609690 609750\n",
-       "  * y            (y) int64 15kB 5300010 5299950 5299890 ... 5190330 5190270\n",
+       "  * y            (y) int64 15kB 8000010 7999950 7999890 ... 7890330 7890270\n",
        "    band         int64 8B ...\n",
        "    spatial_ref  int64 8B ...\n",
        "Data variables: (12/15)\n",
@@ -1478,7 +1479,7 @@
     }
    ],
    "source": [
-    "ds = xr.open_dataset(path, engine=\"eopf-zarr\", op_mode=\"analysis\", resolution=60, chunks={})\n",
+    "ds = xr.open_dataset(url, engine=\"eopf-zarr\", resolution=60, chunks={})\n",
     "ds"
    ]
   },
@@ -1865,7 +1866,7 @@
        "dask.array&lt;open_dataset-b01, shape=(1830, 1830), dtype=float64, chunksize=(305, 305), chunktype=numpy.ndarray&gt;\n",
        "Coordinates:\n",
        "  * x            (x) int64 15kB 500010 500070 500130 ... 609630 609690 609750\n",
-       "  * y            (y) int64 15kB 5300010 5299950 5299890 ... 5190330 5190270\n",
+       "  * y            (y) int64 15kB 8000010 7999950 7999890 ... 7890330 7890270\n",
        "    band         int64 8B ...\n",
        "    spatial_ref  int64 8B ...\n",
        "Attributes: (12/13)\n",
@@ -1873,15 +1874,15 @@
        "    dtype:           &lt;u2\n",
        "    fill_value:      0\n",
        "    long_name:       BOA reflectance from MSI acquisition at spectral band b0...\n",
-       "    proj:bbox:       [499980.0, 5190240.0, 609780.0, 5300040.0]\n",
-       "    proj:epsg:       32632\n",
+       "    proj:bbox:       [499980.0, 7890240.0, 609780.0, 8000040.0]\n",
+       "    proj:epsg:       32625\n",
        "    ...              ...\n",
-       "    proj:transform:  [60.0, 0.0, 499980.0, 0.0, -60.0, 5300040.0, 0.0, 0.0, 1.0]\n",
-       "    proj:wkt2:       PROJCS[&quot;WGS 84 / UTM zone 32N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WG...\n",
+       "    proj:transform:  [60.0, 0.0, 499980.0, 0.0, -60.0, 8000040.0, 0.0, 0.0, 1.0]\n",
+       "    proj:wkt2:       PROJCS[&quot;WGS 84 / UTM zone 25N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WG...\n",
        "    units:           digital_counts\n",
        "    valid_max:       65535\n",
        "    valid_min:       1\n",
-       "    grid_mapping:    spatial_ref</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'b01'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>y</span>: 1830</li><li><span class='xr-has-index'>x</span>: 1830</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-30926769-57d4-4c72-95a8-a99dd117b933' class='xr-array-in' type='checkbox' checked><label for='section-30926769-57d4-4c72-95a8-a99dd117b933' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>dask.array&lt;chunksize=(305, 305), meta=np.ndarray&gt;</span></div><div class='xr-array-data'><table>\n",
+       "    grid_mapping:    spatial_ref</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'b01'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>y</span>: 1830</li><li><span class='xr-has-index'>x</span>: 1830</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-50dcf579-34db-44cf-a29a-11fd8ae26f90' class='xr-array-in' type='checkbox' checked><label for='section-50dcf579-34db-44cf-a29a-11fd8ae26f90' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>dask.array&lt;chunksize=(305, 305), meta=np.ndarray&gt;</span></div><div class='xr-array-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -1946,24 +1947,25 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></div></li><li class='xr-section-item'><input id='section-a4104319-54c6-498b-bc05-0c1a0312bb5a' class='xr-section-summary-in' type='checkbox'  checked><label for='section-a4104319-54c6-498b-bc05-0c1a0312bb5a' class='xr-section-summary' >Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>500010 500070 ... 609690 609750</div><input id='attrs-43f88b18-c3e2-4066-aac2-883b8835e23e' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-43f88b18-c3e2-4066-aac2-883b8835e23e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-71fb094a-7294-423d-aab7-eb34bfd29681' class='xr-var-data-in' type='checkbox'><label for='data-71fb094a-7294-423d-aab7-eb34bfd29681' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([500010, 500070, 500130, ..., 609630, 609690, 609750])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>5300010 5299950 ... 5190330 5190270</div><input id='attrs-9f12a5ac-468b-4026-be2e-4876c940a04f' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-9f12a5ac-468b-4026-be2e-4876c940a04f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-20290bad-2fdd-4a57-bc19-a9e5dc2a78ee' class='xr-var-data-in' type='checkbox'><label for='data-20290bad-2fdd-4a57-bc19-a9e5dc2a78ee' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([5300010, 5299950, 5299890, ..., 5190390, 5190330, 5190270])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>band</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-ec495c1d-29f0-4f89-9492-921f3573a2c5' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-ec495c1d-29f0-4f89-9492-921f3573a2c5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7cb868b2-6fc7-4083-8e47-ffa4bc8babd5' class='xr-var-data-in' type='checkbox'><label for='data-7cb868b2-6fc7-4083-8e47-ffa4bc8babd5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=int64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>spatial_ref</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-09509441-42de-44f0-b362-eca85b04fdd9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-09509441-42de-44f0-b362-eca85b04fdd9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-262a4470-4bf8-497f-997d-c39e3f3f252c' class='xr-var-data-in' type='checkbox'><label for='data-262a4470-4bf8-497f-997d-c39e3f3f252c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>crs_wkt :</span></dt><dd>PROJCRS[&quot;WGS 84 / UTM zone 32N&quot;,BASEGEOGCRS[&quot;WGS 84&quot;,ENSEMBLE[&quot;World Geodetic System 1984 ensemble&quot;,MEMBER[&quot;World Geodetic System 1984 (Transit)&quot;],MEMBER[&quot;World Geodetic System 1984 (G730)&quot;],MEMBER[&quot;World Geodetic System 1984 (G873)&quot;],MEMBER[&quot;World Geodetic System 1984 (G1150)&quot;],MEMBER[&quot;World Geodetic System 1984 (G1674)&quot;],MEMBER[&quot;World Geodetic System 1984 (G1762)&quot;],MEMBER[&quot;World Geodetic System 1984 (G2139)&quot;],MEMBER[&quot;World Geodetic System 1984 (G2296)&quot;],ELLIPSOID[&quot;WGS 84&quot;,6378137,298.257223563,LENGTHUNIT[&quot;metre&quot;,1]],ENSEMBLEACCURACY[2.0]],PRIMEM[&quot;Greenwich&quot;,0,ANGLEUNIT[&quot;degree&quot;,0.0174532925199433]],ID[&quot;EPSG&quot;,4326]],CONVERSION[&quot;UTM zone 32N&quot;,METHOD[&quot;Transverse Mercator&quot;,ID[&quot;EPSG&quot;,9807]],PARAMETER[&quot;Latitude of natural origin&quot;,0,ANGLEUNIT[&quot;degree&quot;,0.0174532925199433],ID[&quot;EPSG&quot;,8801]],PARAMETER[&quot;Longitude of natural origin&quot;,9,ANGLEUNIT[&quot;degree&quot;,0.0174532925199433],ID[&quot;EPSG&quot;,8802]],PARAMETER[&quot;Scale factor at natural origin&quot;,0.9996,SCALEUNIT[&quot;unity&quot;,1],ID[&quot;EPSG&quot;,8805]],PARAMETER[&quot;False easting&quot;,500000,LENGTHUNIT[&quot;metre&quot;,1],ID[&quot;EPSG&quot;,8806]],PARAMETER[&quot;False northing&quot;,0,LENGTHUNIT[&quot;metre&quot;,1],ID[&quot;EPSG&quot;,8807]]],CS[Cartesian,2],AXIS[&quot;(E)&quot;,east,ORDER[1],LENGTHUNIT[&quot;metre&quot;,1]],AXIS[&quot;(N)&quot;,north,ORDER[2],LENGTHUNIT[&quot;metre&quot;,1]],USAGE[SCOPE[&quot;Navigation and medium accuracy spatial referencing.&quot;],AREA[&quot;Between 6°E and 12°E, northern hemisphere between equator and 84°N, onshore and offshore. Algeria. Austria. Cameroon. Denmark. Equatorial Guinea. France. Gabon. Germany. Italy. Libya. Liechtenstein. Monaco. Netherlands. Niger. Nigeria. Norway. Sao Tome and Principe. Svalbard. Sweden. Switzerland. Tunisia. Vatican City State.&quot;],BBOX[0,6,84,12]],ID[&quot;EPSG&quot;,32632]]</dd><dt><span>semi_major_axis :</span></dt><dd>6378137.0</dd><dt><span>semi_minor_axis :</span></dt><dd>6356752.314245179</dd><dt><span>inverse_flattening :</span></dt><dd>298.257223563</dd><dt><span>reference_ellipsoid_name :</span></dt><dd>WGS 84</dd><dt><span>longitude_of_prime_meridian :</span></dt><dd>0.0</dd><dt><span>prime_meridian_name :</span></dt><dd>Greenwich</dd><dt><span>geographic_crs_name :</span></dt><dd>WGS 84</dd><dt><span>horizontal_datum_name :</span></dt><dd>World Geodetic System 1984 ensemble</dd><dt><span>projected_crs_name :</span></dt><dd>WGS 84 / UTM zone 32N</dd><dt><span>grid_mapping_name :</span></dt><dd>transverse_mercator</dd><dt><span>latitude_of_projection_origin :</span></dt><dd>0.0</dd><dt><span>longitude_of_central_meridian :</span></dt><dd>9.0</dd><dt><span>false_easting :</span></dt><dd>500000.0</dd><dt><span>false_northing :</span></dt><dd>0.0</dd><dt><span>scale_factor_at_central_meridian :</span></dt><dd>0.9996</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=int64]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-52237092-6015-40d8-912a-26be7a7f82dd' class='xr-section-summary-in' type='checkbox'  ><label for='section-52237092-6015-40d8-912a-26be7a7f82dd' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>x</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-113331b9-c061-4365-b038-38a61afdc2eb' class='xr-index-data-in' type='checkbox'/><label for='index-113331b9-c061-4365-b038-38a61afdc2eb' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([500010, 500070, 500130, 500190, 500250, 500310, 500370, 500430, 500490,\n",
+       "</table></div></div></li><li class='xr-section-item'><input id='section-cc944617-2d5a-4346-ab6b-17bcd4da6d67' class='xr-section-summary-in' type='checkbox'  checked><label for='section-cc944617-2d5a-4346-ab6b-17bcd4da6d67' class='xr-section-summary' >Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>500010 500070 ... 609690 609750</div><input id='attrs-0879b684-b766-4756-bbd8-91173005a93c' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-0879b684-b766-4756-bbd8-91173005a93c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a04572e7-6c9b-4dd2-806c-bbbaaa090f2d' class='xr-var-data-in' type='checkbox'><label for='data-a04572e7-6c9b-4dd2-806c-bbbaaa090f2d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([500010, 500070, 500130, ..., 609630, 609690, 609750], shape=(1830,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>8000010 7999950 ... 7890330 7890270</div><input id='attrs-648edca0-42c3-42e4-9d08-484fccc19792' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-648edca0-42c3-42e4-9d08-484fccc19792' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7252e740-e5d9-4c63-90f4-7e255227b793' class='xr-var-data-in' type='checkbox'><label for='data-7252e740-e5d9-4c63-90f4-7e255227b793' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([8000010, 7999950, 7999890, ..., 7890390, 7890330, 7890270],\n",
+       "      shape=(1830,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>band</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-f96d4b84-6464-4abe-9190-b5c4a162b735' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-f96d4b84-6464-4abe-9190-b5c4a162b735' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-79157dd6-bf1f-4588-891e-e0a0050b1680' class='xr-var-data-in' type='checkbox'><label for='data-79157dd6-bf1f-4588-891e-e0a0050b1680' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=int64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>spatial_ref</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-da2a1fc3-9b56-4ad8-b24e-a25372994885' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-da2a1fc3-9b56-4ad8-b24e-a25372994885' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-393b1e4d-d7af-499a-9b42-0d1c3b691d6b' class='xr-var-data-in' type='checkbox'><label for='data-393b1e4d-d7af-499a-9b42-0d1c3b691d6b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>crs_wkt :</span></dt><dd>PROJCRS[&quot;WGS 84 / UTM zone 25N&quot;,BASEGEOGCRS[&quot;WGS 84&quot;,ENSEMBLE[&quot;World Geodetic System 1984 ensemble&quot;,MEMBER[&quot;World Geodetic System 1984 (Transit)&quot;],MEMBER[&quot;World Geodetic System 1984 (G730)&quot;],MEMBER[&quot;World Geodetic System 1984 (G873)&quot;],MEMBER[&quot;World Geodetic System 1984 (G1150)&quot;],MEMBER[&quot;World Geodetic System 1984 (G1674)&quot;],MEMBER[&quot;World Geodetic System 1984 (G1762)&quot;],MEMBER[&quot;World Geodetic System 1984 (G2139)&quot;],MEMBER[&quot;World Geodetic System 1984 (G2296)&quot;],ELLIPSOID[&quot;WGS 84&quot;,6378137,298.257223563,LENGTHUNIT[&quot;metre&quot;,1]],ENSEMBLEACCURACY[2.0]],PRIMEM[&quot;Greenwich&quot;,0,ANGLEUNIT[&quot;degree&quot;,0.0174532925199433]],ID[&quot;EPSG&quot;,4326]],CONVERSION[&quot;UTM zone 25N&quot;,METHOD[&quot;Transverse Mercator&quot;,ID[&quot;EPSG&quot;,9807]],PARAMETER[&quot;Latitude of natural origin&quot;,0,ANGLEUNIT[&quot;degree&quot;,0.0174532925199433],ID[&quot;EPSG&quot;,8801]],PARAMETER[&quot;Longitude of natural origin&quot;,-33,ANGLEUNIT[&quot;degree&quot;,0.0174532925199433],ID[&quot;EPSG&quot;,8802]],PARAMETER[&quot;Scale factor at natural origin&quot;,0.9996,SCALEUNIT[&quot;unity&quot;,1],ID[&quot;EPSG&quot;,8805]],PARAMETER[&quot;False easting&quot;,500000,LENGTHUNIT[&quot;metre&quot;,1],ID[&quot;EPSG&quot;,8806]],PARAMETER[&quot;False northing&quot;,0,LENGTHUNIT[&quot;metre&quot;,1],ID[&quot;EPSG&quot;,8807]]],CS[Cartesian,2],AXIS[&quot;(E)&quot;,east,ORDER[1],LENGTHUNIT[&quot;metre&quot;,1]],AXIS[&quot;(N)&quot;,north,ORDER[2],LENGTHUNIT[&quot;metre&quot;,1]],USAGE[SCOPE[&quot;Navigation and medium accuracy spatial referencing.&quot;],AREA[&quot;Between 36°W and 30°W, northern hemisphere between equator and 84°N, onshore and offshore. Greenland.&quot;],BBOX[0,-36,84,-30]],ID[&quot;EPSG&quot;,32625]]</dd><dt><span>semi_major_axis :</span></dt><dd>6378137.0</dd><dt><span>semi_minor_axis :</span></dt><dd>6356752.314245179</dd><dt><span>inverse_flattening :</span></dt><dd>298.257223563</dd><dt><span>reference_ellipsoid_name :</span></dt><dd>WGS 84</dd><dt><span>longitude_of_prime_meridian :</span></dt><dd>0.0</dd><dt><span>prime_meridian_name :</span></dt><dd>Greenwich</dd><dt><span>geographic_crs_name :</span></dt><dd>WGS 84</dd><dt><span>horizontal_datum_name :</span></dt><dd>World Geodetic System 1984 ensemble</dd><dt><span>projected_crs_name :</span></dt><dd>WGS 84 / UTM zone 25N</dd><dt><span>grid_mapping_name :</span></dt><dd>transverse_mercator</dd><dt><span>latitude_of_projection_origin :</span></dt><dd>0.0</dd><dt><span>longitude_of_central_meridian :</span></dt><dd>-33.0</dd><dt><span>false_easting :</span></dt><dd>500000.0</dd><dt><span>false_northing :</span></dt><dd>0.0</dd><dt><span>scale_factor_at_central_meridian :</span></dt><dd>0.9996</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=int64]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-0a7fd640-1410-4dfa-996f-bda90477e386' class='xr-section-summary-in' type='checkbox'  ><label for='section-0a7fd640-1410-4dfa-996f-bda90477e386' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>x</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-fb81ed4c-d2ce-4e22-8a60-36e4c64e0006' class='xr-index-data-in' type='checkbox'/><label for='index-fb81ed4c-d2ce-4e22-8a60-36e4c64e0006' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([500010, 500070, 500130, 500190, 500250, 500310, 500370, 500430, 500490,\n",
        "       500550,\n",
        "       ...\n",
        "       609210, 609270, 609330, 609390, 609450, 609510, 609570, 609630, 609690,\n",
        "       609750],\n",
-       "      dtype=&#x27;int64&#x27;, name=&#x27;x&#x27;, length=1830))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>y</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-e015e744-b571-459c-9a81-2aea44b5939c' class='xr-index-data-in' type='checkbox'/><label for='index-e015e744-b571-459c-9a81-2aea44b5939c' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([5300010, 5299950, 5299890, 5299830, 5299770, 5299710, 5299650, 5299590,\n",
-       "       5299530, 5299470,\n",
+       "      dtype=&#x27;int64&#x27;, name=&#x27;x&#x27;, length=1830))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>y</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-6b283627-e875-4931-b03f-a88d37481241' class='xr-index-data-in' type='checkbox'/><label for='index-6b283627-e875-4931-b03f-a88d37481241' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([8000010, 7999950, 7999890, 7999830, 7999770, 7999710, 7999650, 7999590,\n",
+       "       7999530, 7999470,\n",
        "       ...\n",
-       "       5190810, 5190750, 5190690, 5190630, 5190570, 5190510, 5190450, 5190390,\n",
-       "       5190330, 5190270],\n",
-       "      dtype=&#x27;int64&#x27;, name=&#x27;y&#x27;, length=1830))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-74818fcb-7ada-4e7a-a943-9af520c8eee8' class='xr-section-summary-in' type='checkbox'  ><label for='section-74818fcb-7ada-4e7a-a943-9af520c8eee8' class='xr-section-summary' >Attributes: <span>(13)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;add_offset&#x27;: -0.1, &#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;fill_value&#x27;: 0, &#x27;scale_factor&#x27;: 0.0001, &#x27;units&#x27;: &#x27;digital_counts&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u2</dd><dt><span>fill_value :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>BOA reflectance from MSI acquisition at spectral band b01 442.7 nm</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 5190240.0, 609780.0, 5300040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32632</dd><dt><span>proj:shape :</span></dt><dd>[1830, 1830]</dd><dt><span>proj:transform :</span></dt><dd>[60.0, 0.0, 499980.0, 0.0, -60.0, 5300040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 32N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,9],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32632&quot;]]</dd><dt><span>units :</span></dt><dd>digital_counts</dd><dt><span>valid_max :</span></dt><dd>65535</dd><dt><span>valid_min :</span></dt><dd>1</dd><dt><span>grid_mapping :</span></dt><dd>spatial_ref</dd></dl></div></li></ul></div></div>"
+       "       7890810, 7890750, 7890690, 7890630, 7890570, 7890510, 7890450, 7890390,\n",
+       "       7890330, 7890270],\n",
+       "      dtype=&#x27;int64&#x27;, name=&#x27;y&#x27;, length=1830))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-bce4ccb5-e740-457c-a0f0-60e87029906e' class='xr-section-summary-in' type='checkbox'  ><label for='section-bce4ccb5-e740-457c-a0f0-60e87029906e' class='xr-section-summary' >Attributes: <span>(13)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;add_offset&#x27;: -0.1, &#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;dtype&#x27;: &#x27;&lt;u2&#x27;, &#x27;fill_value&#x27;: 0, &#x27;long_name&#x27;: &#x27;BOA reflectance from MSI acquisition at spectral band b01 442.3 nm&#x27;, &#x27;scale_factor&#x27;: 0.0001, &#x27;units&#x27;: &#x27;digital_counts&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u2</dd><dt><span>fill_value :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>BOA reflectance from MSI acquisition at spectral band b01 442.3 nm</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 7890240.0, 609780.0, 8000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32625</dd><dt><span>proj:shape :</span></dt><dd>[1830, 1830]</dd><dt><span>proj:transform :</span></dt><dd>[60.0, 0.0, 499980.0, 0.0, -60.0, 8000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 25N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,-33],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32625&quot;]]</dd><dt><span>units :</span></dt><dd>digital_counts</dd><dt><span>valid_max :</span></dt><dd>65535</dd><dt><span>valid_min :</span></dt><dd>1</dd><dt><span>grid_mapping :</span></dt><dd>spatial_ref</dd></dl></div></li></ul></div></div>"
       ],
       "text/plain": [
        "<xarray.DataArray 'b01' (y: 1830, x: 1830)> Size: 27MB\n",
        "dask.array<open_dataset-b01, shape=(1830, 1830), dtype=float64, chunksize=(305, 305), chunktype=numpy.ndarray>\n",
        "Coordinates:\n",
        "  * x            (x) int64 15kB 500010 500070 500130 ... 609630 609690 609750\n",
-       "  * y            (y) int64 15kB 5300010 5299950 5299890 ... 5190330 5190270\n",
+       "  * y            (y) int64 15kB 8000010 7999950 7999890 ... 7890330 7890270\n",
        "    band         int64 8B ...\n",
        "    spatial_ref  int64 8B ...\n",
        "Attributes: (12/13)\n",
@@ -1971,11 +1973,11 @@
        "    dtype:           <u2\n",
        "    fill_value:      0\n",
        "    long_name:       BOA reflectance from MSI acquisition at spectral band b0...\n",
-       "    proj:bbox:       [499980.0, 5190240.0, 609780.0, 5300040.0]\n",
-       "    proj:epsg:       32632\n",
+       "    proj:bbox:       [499980.0, 7890240.0, 609780.0, 8000040.0]\n",
+       "    proj:epsg:       32625\n",
        "    ...              ...\n",
-       "    proj:transform:  [60.0, 0.0, 499980.0, 0.0, -60.0, 5300040.0, 0.0, 0.0, 1.0]\n",
-       "    proj:wkt2:       PROJCS[\"WGS 84 / UTM zone 32N\",GEOGCS[\"WGS 84\",DATUM[\"WG...\n",
+       "    proj:transform:  [60.0, 0.0, 499980.0, 0.0, -60.0, 8000040.0, 0.0, 0.0, 1.0]\n",
+       "    proj:wkt2:       PROJCS[\"WGS 84 / UTM zone 25N\",GEOGCS[\"WGS 84\",DATUM[\"WG...\n",
        "    units:           digital_counts\n",
        "    valid_max:       65535\n",
        "    valid_min:       1\n",
@@ -2000,7 +2002,7 @@
     {
      "data": {
       "text/plain": [
-       "<matplotlib.image.AxesImage at 0x1a19ff930b0>"
+       "<matplotlib.image.AxesImage at 0x1c720fff620>"
       ]
      },
      "execution_count": 5,
@@ -2009,7 +2011,7 @@
     },
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 640x480 with 2 Axes>"
       ]
@@ -2019,12 +2021,12 @@
     }
    ],
    "source": [
-    "ds.b01.plot.imshow()"
+    "ds.b01.plot.imshow(vmin=0.5, vmax=1.0)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 6,
    "id": "310210f4-4a62-4698-b3d7-85e97450f517",
    "metadata": {},
    "outputs": [
@@ -2405,7 +2407,7 @@
        "dask.array&lt;open_dataset-b02, shape=(1830, 1830), dtype=float64, chunksize=(305, 305), chunktype=numpy.ndarray&gt;\n",
        "Coordinates:\n",
        "  * x            (x) int64 15kB 500010 500070 500130 ... 609630 609690 609750\n",
-       "  * y            (y) int64 15kB 5300010 5299950 5299890 ... 5190330 5190270\n",
+       "  * y            (y) int64 15kB 8000010 7999950 7999890 ... 7890330 7890270\n",
        "    band         int64 8B ...\n",
        "    spatial_ref  int64 8B ...\n",
        "Attributes: (12/13)\n",
@@ -2413,15 +2415,15 @@
        "    dtype:           &lt;u2\n",
        "    fill_value:      0\n",
        "    long_name:       BOA reflectance from MSI acquisition at spectral band b0...\n",
-       "    proj:bbox:       [499980.0, 5190240.0, 609780.0, 5300040.0]\n",
-       "    proj:epsg:       32632\n",
+       "    proj:bbox:       [499980.0, 7890240.0, 609780.0, 8000040.0]\n",
+       "    proj:epsg:       32625\n",
        "    ...              ...\n",
-       "    proj:transform:  [60.0, 0.0, 499980.0, 0.0, -60.0, 5300040.0, 0.0, 0.0, 1.0]\n",
-       "    proj:wkt2:       PROJCS[&quot;WGS 84 / UTM zone 32N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WG...\n",
+       "    proj:transform:  [60.0, 0.0, 499980.0, 0.0, -60.0, 8000040.0, 0.0, 0.0, 1.0]\n",
+       "    proj:wkt2:       PROJCS[&quot;WGS 84 / UTM zone 25N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WG...\n",
        "    units:           digital_counts\n",
        "    valid_max:       65535\n",
        "    valid_min:       1\n",
-       "    grid_mapping:    spatial_ref</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'b02'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>y</span>: 1830</li><li><span class='xr-has-index'>x</span>: 1830</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-ef4718c6-2b2d-486e-b4ce-f4bd85d86754' class='xr-array-in' type='checkbox' checked><label for='section-ef4718c6-2b2d-486e-b4ce-f4bd85d86754' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>dask.array&lt;chunksize=(305, 305), meta=np.ndarray&gt;</span></div><div class='xr-array-data'><table>\n",
+       "    grid_mapping:    spatial_ref</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'b02'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>y</span>: 1830</li><li><span class='xr-has-index'>x</span>: 1830</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-42f98dfd-22b6-444a-9c86-21fecd0f0411' class='xr-array-in' type='checkbox' checked><label for='section-42f98dfd-22b6-444a-9c86-21fecd0f0411' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>dask.array&lt;chunksize=(305, 305), meta=np.ndarray&gt;</span></div><div class='xr-array-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -2486,24 +2488,25 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></div></li><li class='xr-section-item'><input id='section-6062acfe-6cea-4951-8da8-a598bc9d0299' class='xr-section-summary-in' type='checkbox'  checked><label for='section-6062acfe-6cea-4951-8da8-a598bc9d0299' class='xr-section-summary' >Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>500010 500070 ... 609690 609750</div><input id='attrs-777affb4-76b9-4389-9bc5-878fd2392376' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-777affb4-76b9-4389-9bc5-878fd2392376' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ccb2a7c4-a537-41ad-910a-808ac39d0937' class='xr-var-data-in' type='checkbox'><label for='data-ccb2a7c4-a537-41ad-910a-808ac39d0937' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([500010, 500070, 500130, ..., 609630, 609690, 609750])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>5300010 5299950 ... 5190330 5190270</div><input id='attrs-745ce554-7357-47f6-bb43-aece4ec4c7b7' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-745ce554-7357-47f6-bb43-aece4ec4c7b7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8312a9d5-4936-4143-b194-e6fd8d7dc77b' class='xr-var-data-in' type='checkbox'><label for='data-8312a9d5-4936-4143-b194-e6fd8d7dc77b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([5300010, 5299950, 5299890, ..., 5190390, 5190330, 5190270])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>band</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-d3b65220-743e-41dd-8efb-ef6b5cb8b182' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-d3b65220-743e-41dd-8efb-ef6b5cb8b182' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b3f974ce-3553-4098-84db-c31744fc1bcf' class='xr-var-data-in' type='checkbox'><label for='data-b3f974ce-3553-4098-84db-c31744fc1bcf' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=int64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>spatial_ref</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-6d1ebf30-376c-4568-b3fb-5f1454a3fb6e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6d1ebf30-376c-4568-b3fb-5f1454a3fb6e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-57f2223c-0058-4171-a3b9-ab140fab4ea0' class='xr-var-data-in' type='checkbox'><label for='data-57f2223c-0058-4171-a3b9-ab140fab4ea0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>crs_wkt :</span></dt><dd>PROJCRS[&quot;WGS 84 / UTM zone 32N&quot;,BASEGEOGCRS[&quot;WGS 84&quot;,ENSEMBLE[&quot;World Geodetic System 1984 ensemble&quot;,MEMBER[&quot;World Geodetic System 1984 (Transit)&quot;],MEMBER[&quot;World Geodetic System 1984 (G730)&quot;],MEMBER[&quot;World Geodetic System 1984 (G873)&quot;],MEMBER[&quot;World Geodetic System 1984 (G1150)&quot;],MEMBER[&quot;World Geodetic System 1984 (G1674)&quot;],MEMBER[&quot;World Geodetic System 1984 (G1762)&quot;],MEMBER[&quot;World Geodetic System 1984 (G2139)&quot;],MEMBER[&quot;World Geodetic System 1984 (G2296)&quot;],ELLIPSOID[&quot;WGS 84&quot;,6378137,298.257223563,LENGTHUNIT[&quot;metre&quot;,1]],ENSEMBLEACCURACY[2.0]],PRIMEM[&quot;Greenwich&quot;,0,ANGLEUNIT[&quot;degree&quot;,0.0174532925199433]],ID[&quot;EPSG&quot;,4326]],CONVERSION[&quot;UTM zone 32N&quot;,METHOD[&quot;Transverse Mercator&quot;,ID[&quot;EPSG&quot;,9807]],PARAMETER[&quot;Latitude of natural origin&quot;,0,ANGLEUNIT[&quot;degree&quot;,0.0174532925199433],ID[&quot;EPSG&quot;,8801]],PARAMETER[&quot;Longitude of natural origin&quot;,9,ANGLEUNIT[&quot;degree&quot;,0.0174532925199433],ID[&quot;EPSG&quot;,8802]],PARAMETER[&quot;Scale factor at natural origin&quot;,0.9996,SCALEUNIT[&quot;unity&quot;,1],ID[&quot;EPSG&quot;,8805]],PARAMETER[&quot;False easting&quot;,500000,LENGTHUNIT[&quot;metre&quot;,1],ID[&quot;EPSG&quot;,8806]],PARAMETER[&quot;False northing&quot;,0,LENGTHUNIT[&quot;metre&quot;,1],ID[&quot;EPSG&quot;,8807]]],CS[Cartesian,2],AXIS[&quot;(E)&quot;,east,ORDER[1],LENGTHUNIT[&quot;metre&quot;,1]],AXIS[&quot;(N)&quot;,north,ORDER[2],LENGTHUNIT[&quot;metre&quot;,1]],USAGE[SCOPE[&quot;Navigation and medium accuracy spatial referencing.&quot;],AREA[&quot;Between 6°E and 12°E, northern hemisphere between equator and 84°N, onshore and offshore. Algeria. Austria. Cameroon. Denmark. Equatorial Guinea. France. Gabon. Germany. Italy. Libya. Liechtenstein. Monaco. Netherlands. Niger. Nigeria. Norway. Sao Tome and Principe. Svalbard. Sweden. Switzerland. Tunisia. Vatican City State.&quot;],BBOX[0,6,84,12]],ID[&quot;EPSG&quot;,32632]]</dd><dt><span>semi_major_axis :</span></dt><dd>6378137.0</dd><dt><span>semi_minor_axis :</span></dt><dd>6356752.314245179</dd><dt><span>inverse_flattening :</span></dt><dd>298.257223563</dd><dt><span>reference_ellipsoid_name :</span></dt><dd>WGS 84</dd><dt><span>longitude_of_prime_meridian :</span></dt><dd>0.0</dd><dt><span>prime_meridian_name :</span></dt><dd>Greenwich</dd><dt><span>geographic_crs_name :</span></dt><dd>WGS 84</dd><dt><span>horizontal_datum_name :</span></dt><dd>World Geodetic System 1984 ensemble</dd><dt><span>projected_crs_name :</span></dt><dd>WGS 84 / UTM zone 32N</dd><dt><span>grid_mapping_name :</span></dt><dd>transverse_mercator</dd><dt><span>latitude_of_projection_origin :</span></dt><dd>0.0</dd><dt><span>longitude_of_central_meridian :</span></dt><dd>9.0</dd><dt><span>false_easting :</span></dt><dd>500000.0</dd><dt><span>false_northing :</span></dt><dd>0.0</dd><dt><span>scale_factor_at_central_meridian :</span></dt><dd>0.9996</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=int64]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-83dade6b-a3d4-4260-95c1-b93af59821c2' class='xr-section-summary-in' type='checkbox'  ><label for='section-83dade6b-a3d4-4260-95c1-b93af59821c2' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>x</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-0d8b4949-7f91-46a6-87bf-040725d13642' class='xr-index-data-in' type='checkbox'/><label for='index-0d8b4949-7f91-46a6-87bf-040725d13642' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([500010, 500070, 500130, 500190, 500250, 500310, 500370, 500430, 500490,\n",
+       "</table></div></div></li><li class='xr-section-item'><input id='section-c8f302b5-6d67-4b82-9e39-8c8bfa43b40b' class='xr-section-summary-in' type='checkbox'  checked><label for='section-c8f302b5-6d67-4b82-9e39-8c8bfa43b40b' class='xr-section-summary' >Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>500010 500070 ... 609690 609750</div><input id='attrs-f746dba1-b5d6-4460-bd58-7be385bd1008' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-f746dba1-b5d6-4460-bd58-7be385bd1008' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1971548f-85cf-48db-869c-a0bf763d5a6b' class='xr-var-data-in' type='checkbox'><label for='data-1971548f-85cf-48db-869c-a0bf763d5a6b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([500010, 500070, 500130, ..., 609630, 609690, 609750], shape=(1830,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>8000010 7999950 ... 7890330 7890270</div><input id='attrs-a701fd56-ba3f-4758-8293-38f6b8a7e31f' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-a701fd56-ba3f-4758-8293-38f6b8a7e31f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a66d65ff-bfed-4ec5-ac84-3e1582cb4dc0' class='xr-var-data-in' type='checkbox'><label for='data-a66d65ff-bfed-4ec5-ac84-3e1582cb4dc0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([8000010, 7999950, 7999890, ..., 7890390, 7890330, 7890270],\n",
+       "      shape=(1830,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>band</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-7256ecab-3980-487d-9368-479f1f1f5441' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-7256ecab-3980-487d-9368-479f1f1f5441' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a380a8ce-9715-4f06-8d0e-08656e028daf' class='xr-var-data-in' type='checkbox'><label for='data-a380a8ce-9715-4f06-8d0e-08656e028daf' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=int64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>spatial_ref</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-ce7a5663-ca9c-4eef-a816-150c1384db48' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ce7a5663-ca9c-4eef-a816-150c1384db48' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6a8dfb36-24bf-474f-a808-fc17fde90e47' class='xr-var-data-in' type='checkbox'><label for='data-6a8dfb36-24bf-474f-a808-fc17fde90e47' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>crs_wkt :</span></dt><dd>PROJCRS[&quot;WGS 84 / UTM zone 25N&quot;,BASEGEOGCRS[&quot;WGS 84&quot;,ENSEMBLE[&quot;World Geodetic System 1984 ensemble&quot;,MEMBER[&quot;World Geodetic System 1984 (Transit)&quot;],MEMBER[&quot;World Geodetic System 1984 (G730)&quot;],MEMBER[&quot;World Geodetic System 1984 (G873)&quot;],MEMBER[&quot;World Geodetic System 1984 (G1150)&quot;],MEMBER[&quot;World Geodetic System 1984 (G1674)&quot;],MEMBER[&quot;World Geodetic System 1984 (G1762)&quot;],MEMBER[&quot;World Geodetic System 1984 (G2139)&quot;],MEMBER[&quot;World Geodetic System 1984 (G2296)&quot;],ELLIPSOID[&quot;WGS 84&quot;,6378137,298.257223563,LENGTHUNIT[&quot;metre&quot;,1]],ENSEMBLEACCURACY[2.0]],PRIMEM[&quot;Greenwich&quot;,0,ANGLEUNIT[&quot;degree&quot;,0.0174532925199433]],ID[&quot;EPSG&quot;,4326]],CONVERSION[&quot;UTM zone 25N&quot;,METHOD[&quot;Transverse Mercator&quot;,ID[&quot;EPSG&quot;,9807]],PARAMETER[&quot;Latitude of natural origin&quot;,0,ANGLEUNIT[&quot;degree&quot;,0.0174532925199433],ID[&quot;EPSG&quot;,8801]],PARAMETER[&quot;Longitude of natural origin&quot;,-33,ANGLEUNIT[&quot;degree&quot;,0.0174532925199433],ID[&quot;EPSG&quot;,8802]],PARAMETER[&quot;Scale factor at natural origin&quot;,0.9996,SCALEUNIT[&quot;unity&quot;,1],ID[&quot;EPSG&quot;,8805]],PARAMETER[&quot;False easting&quot;,500000,LENGTHUNIT[&quot;metre&quot;,1],ID[&quot;EPSG&quot;,8806]],PARAMETER[&quot;False northing&quot;,0,LENGTHUNIT[&quot;metre&quot;,1],ID[&quot;EPSG&quot;,8807]]],CS[Cartesian,2],AXIS[&quot;(E)&quot;,east,ORDER[1],LENGTHUNIT[&quot;metre&quot;,1]],AXIS[&quot;(N)&quot;,north,ORDER[2],LENGTHUNIT[&quot;metre&quot;,1]],USAGE[SCOPE[&quot;Navigation and medium accuracy spatial referencing.&quot;],AREA[&quot;Between 36°W and 30°W, northern hemisphere between equator and 84°N, onshore and offshore. Greenland.&quot;],BBOX[0,-36,84,-30]],ID[&quot;EPSG&quot;,32625]]</dd><dt><span>semi_major_axis :</span></dt><dd>6378137.0</dd><dt><span>semi_minor_axis :</span></dt><dd>6356752.314245179</dd><dt><span>inverse_flattening :</span></dt><dd>298.257223563</dd><dt><span>reference_ellipsoid_name :</span></dt><dd>WGS 84</dd><dt><span>longitude_of_prime_meridian :</span></dt><dd>0.0</dd><dt><span>prime_meridian_name :</span></dt><dd>Greenwich</dd><dt><span>geographic_crs_name :</span></dt><dd>WGS 84</dd><dt><span>horizontal_datum_name :</span></dt><dd>World Geodetic System 1984 ensemble</dd><dt><span>projected_crs_name :</span></dt><dd>WGS 84 / UTM zone 25N</dd><dt><span>grid_mapping_name :</span></dt><dd>transverse_mercator</dd><dt><span>latitude_of_projection_origin :</span></dt><dd>0.0</dd><dt><span>longitude_of_central_meridian :</span></dt><dd>-33.0</dd><dt><span>false_easting :</span></dt><dd>500000.0</dd><dt><span>false_northing :</span></dt><dd>0.0</dd><dt><span>scale_factor_at_central_meridian :</span></dt><dd>0.9996</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=int64]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-66e95965-2d05-4fb7-bbfa-ab82699c61ab' class='xr-section-summary-in' type='checkbox'  ><label for='section-66e95965-2d05-4fb7-bbfa-ab82699c61ab' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>x</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-39054cff-8041-4063-9afc-1af5c8d62884' class='xr-index-data-in' type='checkbox'/><label for='index-39054cff-8041-4063-9afc-1af5c8d62884' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([500010, 500070, 500130, 500190, 500250, 500310, 500370, 500430, 500490,\n",
        "       500550,\n",
        "       ...\n",
        "       609210, 609270, 609330, 609390, 609450, 609510, 609570, 609630, 609690,\n",
        "       609750],\n",
-       "      dtype=&#x27;int64&#x27;, name=&#x27;x&#x27;, length=1830))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>y</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-95a6f3ff-75d9-42e6-9032-d2cd4affca4c' class='xr-index-data-in' type='checkbox'/><label for='index-95a6f3ff-75d9-42e6-9032-d2cd4affca4c' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([5300010, 5299950, 5299890, 5299830, 5299770, 5299710, 5299650, 5299590,\n",
-       "       5299530, 5299470,\n",
+       "      dtype=&#x27;int64&#x27;, name=&#x27;x&#x27;, length=1830))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>y</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-c93408d9-535d-4ac4-89b7-9153f64d732a' class='xr-index-data-in' type='checkbox'/><label for='index-c93408d9-535d-4ac4-89b7-9153f64d732a' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([8000010, 7999950, 7999890, 7999830, 7999770, 7999710, 7999650, 7999590,\n",
+       "       7999530, 7999470,\n",
        "       ...\n",
-       "       5190810, 5190750, 5190690, 5190630, 5190570, 5190510, 5190450, 5190390,\n",
-       "       5190330, 5190270],\n",
-       "      dtype=&#x27;int64&#x27;, name=&#x27;y&#x27;, length=1830))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-11e19a40-a077-40d3-8a05-e8652ede9090' class='xr-section-summary-in' type='checkbox'  ><label for='section-11e19a40-a077-40d3-8a05-e8652ede9090' class='xr-section-summary' >Attributes: <span>(13)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;add_offset&#x27;: -0.1, &#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;fill_value&#x27;: 0, &#x27;scale_factor&#x27;: 0.0001, &#x27;units&#x27;: &#x27;digital_counts&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u2</dd><dt><span>fill_value :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>BOA reflectance from MSI acquisition at spectral band b02 492.7 nm</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 5190240.0, 609780.0, 5300040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32632</dd><dt><span>proj:shape :</span></dt><dd>[1830, 1830]</dd><dt><span>proj:transform :</span></dt><dd>[60.0, 0.0, 499980.0, 0.0, -60.0, 5300040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 32N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,9],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32632&quot;]]</dd><dt><span>units :</span></dt><dd>digital_counts</dd><dt><span>valid_max :</span></dt><dd>65535</dd><dt><span>valid_min :</span></dt><dd>1</dd><dt><span>grid_mapping :</span></dt><dd>spatial_ref</dd></dl></div></li></ul></div></div>"
+       "       7890810, 7890750, 7890690, 7890630, 7890570, 7890510, 7890450, 7890390,\n",
+       "       7890330, 7890270],\n",
+       "      dtype=&#x27;int64&#x27;, name=&#x27;y&#x27;, length=1830))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-138dd2e2-a39d-4b31-b2d2-b807566d2977' class='xr-section-summary-in' type='checkbox'  ><label for='section-138dd2e2-a39d-4b31-b2d2-b807566d2977' class='xr-section-summary' >Attributes: <span>(13)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;add_offset&#x27;: -0.1, &#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;dtype&#x27;: &#x27;&lt;u2&#x27;, &#x27;fill_value&#x27;: 0, &#x27;long_name&#x27;: &#x27;BOA reflectance from MSI acquisition at spectral band b02 492.3 nm&#x27;, &#x27;scale_factor&#x27;: 0.0001, &#x27;units&#x27;: &#x27;digital_counts&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u2</dd><dt><span>fill_value :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>BOA reflectance from MSI acquisition at spectral band b02 492.3 nm</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 7890240.0, 609780.0, 8000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32625</dd><dt><span>proj:shape :</span></dt><dd>[1830, 1830]</dd><dt><span>proj:transform :</span></dt><dd>[60.0, 0.0, 499980.0, 0.0, -60.0, 8000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 25N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,-33],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32625&quot;]]</dd><dt><span>units :</span></dt><dd>digital_counts</dd><dt><span>valid_max :</span></dt><dd>65535</dd><dt><span>valid_min :</span></dt><dd>1</dd><dt><span>grid_mapping :</span></dt><dd>spatial_ref</dd></dl></div></li></ul></div></div>"
       ],
       "text/plain": [
        "<xarray.DataArray 'b02' (y: 1830, x: 1830)> Size: 27MB\n",
        "dask.array<open_dataset-b02, shape=(1830, 1830), dtype=float64, chunksize=(305, 305), chunktype=numpy.ndarray>\n",
        "Coordinates:\n",
        "  * x            (x) int64 15kB 500010 500070 500130 ... 609630 609690 609750\n",
-       "  * y            (y) int64 15kB 5300010 5299950 5299890 ... 5190330 5190270\n",
+       "  * y            (y) int64 15kB 8000010 7999950 7999890 ... 7890330 7890270\n",
        "    band         int64 8B ...\n",
        "    spatial_ref  int64 8B ...\n",
        "Attributes: (12/13)\n",
@@ -2511,18 +2514,18 @@
        "    dtype:           <u2\n",
        "    fill_value:      0\n",
        "    long_name:       BOA reflectance from MSI acquisition at spectral band b0...\n",
-       "    proj:bbox:       [499980.0, 5190240.0, 609780.0, 5300040.0]\n",
-       "    proj:epsg:       32632\n",
+       "    proj:bbox:       [499980.0, 7890240.0, 609780.0, 8000040.0]\n",
+       "    proj:epsg:       32625\n",
        "    ...              ...\n",
-       "    proj:transform:  [60.0, 0.0, 499980.0, 0.0, -60.0, 5300040.0, 0.0, 0.0, 1.0]\n",
-       "    proj:wkt2:       PROJCS[\"WGS 84 / UTM zone 32N\",GEOGCS[\"WGS 84\",DATUM[\"WG...\n",
+       "    proj:transform:  [60.0, 0.0, 499980.0, 0.0, -60.0, 8000040.0, 0.0, 0.0, 1.0]\n",
+       "    proj:wkt2:       PROJCS[\"WGS 84 / UTM zone 25N\",GEOGCS[\"WGS 84\",DATUM[\"WG...\n",
        "    units:           digital_counts\n",
        "    valid_max:       65535\n",
        "    valid_min:       1\n",
        "    grid_mapping:    spatial_ref"
       ]
      },
-     "execution_count": 8,
+     "execution_count": 6,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2533,54 +2536,23 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
-   "id": "bfd3cf34-4eae-460e-91ea-1eb7198780e0",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "<matplotlib.image.AxesImage at 0x1a19dadf620>"
-      ]
-     },
-     "execution_count": 9,
-     "metadata": {},
-     "output_type": "execute_result"
-    },
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 640x480 with 2 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "ds.b02.plot.imshow()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 7,
    "id": "2ca3a31f-c7b3-41cd-8128-a81091fc97f8",
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "<matplotlib.image.AxesImage at 0x1a1a00d6600>"
+       "<matplotlib.image.AxesImage at 0x1c71e76dd10>"
       ]
      },
-     "execution_count": 6,
+     "execution_count": 7,
      "metadata": {},
      "output_type": "execute_result"
     },
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 640x480 with 2 Axes>"
       ]
@@ -2595,7 +2567,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 8,
    "id": "a97891af-7917-42f2-a3aa-8c2d78d348af",
    "metadata": {},
    "outputs": [
@@ -2603,18 +2575,18 @@
      "data": {
       "text/plain": [
        "{'_eopf_attrs': {'coordinates': ['x', 'y'], 'dimensions': ['y', 'x']},\n",
-       " 'proj:bbox': [499980.0, 5190240.0, 609780.0, 5300040.0],\n",
-       " 'proj:epsg': 32632,\n",
+       " 'proj:bbox': [499980.0, 7890240.0, 609780.0, 8000040.0],\n",
+       " 'proj:epsg': 32625,\n",
        " 'proj:shape': [1830, 1830],\n",
-       " 'proj:transform': [60.0, 0.0, 499980.0, 0.0, -60.0, 5300040.0, 0.0, 0.0, 1.0],\n",
-       " 'proj:wkt2': 'PROJCS[\"WGS 84 / UTM zone 32N\",GEOGCS[\"WGS 84\",DATUM[\"WGS_1984\",SPHEROID[\"WGS 84\",6378137,298.257223563,AUTHORITY[\"EPSG\",\"7030\"]],AUTHORITY[\"EPSG\",\"6326\"]],PRIMEM[\"Greenwich\",0,AUTHORITY[\"EPSG\",\"8901\"]],UNIT[\"degree\",0.0174532925199433,AUTHORITY[\"EPSG\",\"9122\"]],AUTHORITY[\"EPSG\",\"4326\"]],PROJECTION[\"Transverse_Mercator\"],PARAMETER[\"latitude_of_origin\",0],PARAMETER[\"central_meridian\",9],PARAMETER[\"scale_factor\",0.9996],PARAMETER[\"false_easting\",500000],PARAMETER[\"false_northing\",0],UNIT[\"metre\",1,AUTHORITY[\"EPSG\",\"9001\"]],AXIS[\"Easting\",EAST],AXIS[\"Northing\",NORTH],AUTHORITY[\"EPSG\",\"32632\"]]',\n",
+       " 'proj:transform': [60.0, 0.0, 499980.0, 0.0, -60.0, 8000040.0, 0.0, 0.0, 1.0],\n",
+       " 'proj:wkt2': 'PROJCS[\"WGS 84 / UTM zone 25N\",GEOGCS[\"WGS 84\",DATUM[\"WGS_1984\",SPHEROID[\"WGS 84\",6378137,298.257223563,AUTHORITY[\"EPSG\",\"7030\"]],AUTHORITY[\"EPSG\",\"6326\"]],PRIMEM[\"Greenwich\",0,AUTHORITY[\"EPSG\",\"8901\"]],UNIT[\"degree\",0.0174532925199433,AUTHORITY[\"EPSG\",\"9122\"]],AUTHORITY[\"EPSG\",\"4326\"]],PROJECTION[\"Transverse_Mercator\"],PARAMETER[\"latitude_of_origin\",0],PARAMETER[\"central_meridian\",-33],PARAMETER[\"scale_factor\",0.9996],PARAMETER[\"false_easting\",500000],PARAMETER[\"false_northing\",0],UNIT[\"metre\",1,AUTHORITY[\"EPSG\",\"9001\"]],AXIS[\"Easting\",EAST],AXIS[\"Northing\",NORTH],AUTHORITY[\"EPSG\",\"32625\"]]',\n",
        " 'flag_values': [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11],\n",
        " 'flag_meanings': 'no_data sat_or_defect_pixel topo_casted_shadows cloud_shadows vegetation not_vegetation water unclassified cloud_medium_prob cloud_high_prob thin_cirrus snow_or_ice',\n",
        " 'flag_colors': '#000000 #ff0000 #2f2f2f #643200 #00a000 #ffe65a #0000ff #808080 #c0c0c0 #ffffff #64c8ff #ff96ff',\n",
        " 'grid_mapping': 'spatial_ref'}"
       ]
      },
-     "execution_count": 7,
+     "execution_count": 8,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2634,20 +2606,20 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 9,
    "id": "292b9d27-5b02-43c0-a9d8-3201f07f4157",
    "metadata": {},
    "outputs": [],
    "source": [
-    "path = (\n",
-    "    \"s3://e05ab01a9d56408d82ac32d69a5aae2a:sample-data/tutorial_data/\"\n",
-    "    \"cpm_v253/S2B_MSIL1C_20250113T103309_N0511_R108_T32TLQ_20250113T122458.zarr\"    \n",
+    "url = (\n",
+    "    \"https://objectstore.eodc.eu:2222/e05ab01a9d56408d82ac32d69a5aae2a:202504-s02msil1c/15/products/cpm_v256/\"\n",
+    "    \"S2B_MSIL1C_20250415T142749_N0511_R139_T25WEV_20250415T180239.zarr\"    \n",
     ")"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 10,
    "id": "3002f97d-8cb2-49fd-b981-6718c47138a6",
    "metadata": {},
    "outputs": [
@@ -3025,25 +2997,40 @@
        "  fill: currentColor;\n",
        "}\n",
        "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt; Size: 13GB\n",
-       "Dimensions:  (x: 10980, y: 10980)\n",
+       "Dimensions:      (x: 10980, y: 10980)\n",
        "Coordinates:\n",
-       "  * x        (x) int64 88kB 300005 300015 300025 300035 ... 409775 409785 409795\n",
-       "  * y        (y) int64 88kB 5000035 5000025 5000015 ... 4890265 4890255 4890245\n",
+       "  * x            (x) int64 88kB 499985 499995 500005 ... 609755 609765 609775\n",
+       "  * y            (y) int64 88kB 8000035 8000025 8000015 ... 7890255 7890245\n",
+       "    spatial_ref  int64 8B ...\n",
        "Data variables: (12/13)\n",
-       "    b01      (y, x) float64 964MB dask.array&lt;chunksize=(1830, 1830), meta=np.ndarray&gt;\n",
-       "    b02      (y, x) float64 964MB dask.array&lt;chunksize=(1830, 1830), meta=np.ndarray&gt;\n",
-       "    b03      (y, x) float64 964MB dask.array&lt;chunksize=(1830, 1830), meta=np.ndarray&gt;\n",
-       "    b04      (y, x) float64 964MB dask.array&lt;chunksize=(1830, 1830), meta=np.ndarray&gt;\n",
-       "    b05      (y, x) float64 964MB dask.array&lt;chunksize=(1830, 1830), meta=np.ndarray&gt;\n",
-       "    b06      (y, x) float64 964MB dask.array&lt;chunksize=(1830, 1830), meta=np.ndarray&gt;\n",
-       "    ...       ...\n",
-       "    b08      (y, x) float64 964MB dask.array&lt;chunksize=(1830, 1830), meta=np.ndarray&gt;\n",
-       "    b09      (y, x) float64 964MB dask.array&lt;chunksize=(1830, 1830), meta=np.ndarray&gt;\n",
-       "    b10      (y, x) float64 964MB dask.array&lt;chunksize=(1830, 1830), meta=np.ndarray&gt;\n",
-       "    b11      (y, x) float64 964MB dask.array&lt;chunksize=(1830, 1830), meta=np.ndarray&gt;\n",
-       "    b12      (y, x) float64 964MB dask.array&lt;chunksize=(1830, 1830), meta=np.ndarray&gt;\n",
-       "    b8a      (y, x) float64 964MB dask.array&lt;chunksize=(1830, 1830), meta=np.ndarray&gt;</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-ec3dd8b1-c0e0-4fe6-a48d-460f935bff29' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-ec3dd8b1-c0e0-4fe6-a48d-460f935bff29' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>x</span>: 10980</li><li><span class='xr-has-index'>y</span>: 10980</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-fd248669-4500-478d-a9c1-5179c329842e' class='xr-section-summary-in' type='checkbox'  checked><label for='section-fd248669-4500-478d-a9c1-5179c329842e' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>300005 300015 ... 409785 409795</div><input id='attrs-c26fda39-9db0-474e-87f0-842bc17e93d3' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-c26fda39-9db0-474e-87f0-842bc17e93d3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b338b794-0891-48aa-aae0-3ba2cdd0865a' class='xr-var-data-in' type='checkbox'><label for='data-b338b794-0891-48aa-aae0-3ba2cdd0865a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([300005, 300015, 300025, ..., 409775, 409785, 409795], shape=(10980,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>5000035 5000025 ... 4890255 4890245</div><input id='attrs-57cc2d69-b405-4a0c-8b4d-0dfa3fefe33f' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-57cc2d69-b405-4a0c-8b4d-0dfa3fefe33f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a1c04a86-4efd-4a43-8595-b1994e148c69' class='xr-var-data-in' type='checkbox'><label for='data-a1c04a86-4efd-4a43-8595-b1994e148c69' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([5000035, 5000025, 5000015, ..., 4890265, 4890255, 4890245],\n",
-       "      shape=(10980,))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-2f54651d-6ed9-40b5-9d35-932d1060850c' class='xr-section-summary-in' type='checkbox'  checked><label for='section-2f54651d-6ed9-40b5-9d35-932d1060850c' class='xr-section-summary' >Data variables: <span>(13)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>b01</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1830, 1830), meta=np.ndarray&gt;</div><input id='attrs-a2ae03e6-b837-457c-8510-2e1fe906a17d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a2ae03e6-b837-457c-8510-2e1fe906a17d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b2276d8d-c7a1-4a59-98da-39ca118e7d2b' class='xr-var-data-in' type='checkbox'><label for='data-b2276d8d-c7a1-4a59-98da-39ca118e7d2b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;add_offset&#x27;: -0.1, &#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;fill_value&#x27;: 0, &#x27;scale_factor&#x27;: 0.0001, &#x27;units&#x27;: &#x27;digital_counts&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u2</dd><dt><span>fill_value :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>TOA reflectance from MSI acquisition at spectral band b01 442.3 nm</dd><dt><span>proj:bbox :</span></dt><dd>[300000.0, 4890240.0, 409800.0, 5000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32632</dd><dt><span>proj:shape :</span></dt><dd>[1830, 1830]</dd><dt><span>proj:transform :</span></dt><dd>[60.0, 0.0, 300000.0, 0.0, -60.0, 5000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 32N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,9],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32632&quot;]]</dd><dt><span>units :</span></dt><dd>digital_counts</dd><dt><span>valid_max :</span></dt><dd>65535</dd><dt><span>valid_min :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    b01          (y, x) float64 964MB dask.array&lt;chunksize=(1830, 1830), meta=np.ndarray&gt;\n",
+       "    b02          (y, x) float64 964MB dask.array&lt;chunksize=(1830, 1830), meta=np.ndarray&gt;\n",
+       "    b03          (y, x) float64 964MB dask.array&lt;chunksize=(1830, 1830), meta=np.ndarray&gt;\n",
+       "    b04          (y, x) float64 964MB dask.array&lt;chunksize=(1830, 1830), meta=np.ndarray&gt;\n",
+       "    b05          (y, x) float64 964MB dask.array&lt;chunksize=(1830, 1830), meta=np.ndarray&gt;\n",
+       "    b06          (y, x) float64 964MB dask.array&lt;chunksize=(1830, 1830), meta=np.ndarray&gt;\n",
+       "    ...           ...\n",
+       "    b08          (y, x) float64 964MB dask.array&lt;chunksize=(1830, 1830), meta=np.ndarray&gt;\n",
+       "    b09          (y, x) float64 964MB dask.array&lt;chunksize=(1830, 1830), meta=np.ndarray&gt;\n",
+       "    b10          (y, x) float64 964MB dask.array&lt;chunksize=(1830, 1830), meta=np.ndarray&gt;\n",
+       "    b11          (y, x) float64 964MB dask.array&lt;chunksize=(1830, 1830), meta=np.ndarray&gt;\n",
+       "    b12          (y, x) float64 964MB dask.array&lt;chunksize=(1830, 1830), meta=np.ndarray&gt;\n",
+       "    b8a          (y, x) float64 964MB dask.array&lt;chunksize=(1830, 1830), meta=np.ndarray&gt;\n",
+       "Attributes: (12/26)\n",
+       "    L0_ancillary_data_quality:                                               ...\n",
+       "    L0_ephemeris_data_quality:                                               ...\n",
+       "    NUC_table_ID:                                                            ...\n",
+       "    SWIR_rearrangement_flag:                                                 ...\n",
+       "    UTM_zone_identification:                                                 ...\n",
+       "    absolute_location_assessment_from_AOCS:                                  ...\n",
+       "    ...                                                                                                       ...\n",
+       "    optical_crosstalk_correction_flag:                                       ...\n",
+       "    percentage_of_degraded_MSI_data:                                         ...\n",
+       "    planimetric_stability_assessment_from_AOCS:                              ...\n",
+       "    product_quality_status:                                                  ...\n",
+       "    reflectance_correction_factor_from_the_Sun-Earth_distance_variation_compu...\n",
+       "    spectral_band_of_reference:                                              ...</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-56f0aaf8-2475-4cd1-be9b-c2010aeb0504' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-56f0aaf8-2475-4cd1-be9b-c2010aeb0504' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>x</span>: 10980</li><li><span class='xr-has-index'>y</span>: 10980</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-fb7bda6b-28c4-481f-8557-c57321dccc37' class='xr-section-summary-in' type='checkbox'  checked><label for='section-fb7bda6b-28c4-481f-8557-c57321dccc37' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>499985 499995 ... 609765 609775</div><input id='attrs-fdffa033-3f59-4eda-be1b-4b3ece9979b9' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-fdffa033-3f59-4eda-be1b-4b3ece9979b9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-856f6100-1bdf-4a20-941d-7d43d9e567ed' class='xr-var-data-in' type='checkbox'><label for='data-856f6100-1bdf-4a20-941d-7d43d9e567ed' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([499985, 499995, 500005, ..., 609755, 609765, 609775], shape=(10980,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>8000035 8000025 ... 7890255 7890245</div><input id='attrs-291ec435-dfde-494f-a2ba-01dd7316dbd5' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-291ec435-dfde-494f-a2ba-01dd7316dbd5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-87d1ee19-20ee-4e7a-86e1-d9839c9eb1d9' class='xr-var-data-in' type='checkbox'><label for='data-87d1ee19-20ee-4e7a-86e1-d9839c9eb1d9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([8000035, 8000025, 8000015, ..., 7890265, 7890255, 7890245],\n",
+       "      shape=(10980,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>spatial_ref</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-d3e725a3-9e35-4018-9e6d-a4af73f281df' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d3e725a3-9e35-4018-9e6d-a4af73f281df' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-eca9ac8e-cd1d-478e-bd4b-5b53c65ae270' class='xr-var-data-in' type='checkbox'><label for='data-eca9ac8e-cd1d-478e-bd4b-5b53c65ae270' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>crs_wkt :</span></dt><dd>PROJCRS[&quot;WGS 84 / UTM zone 25N&quot;,BASEGEOGCRS[&quot;WGS 84&quot;,ENSEMBLE[&quot;World Geodetic System 1984 ensemble&quot;,MEMBER[&quot;World Geodetic System 1984 (Transit)&quot;],MEMBER[&quot;World Geodetic System 1984 (G730)&quot;],MEMBER[&quot;World Geodetic System 1984 (G873)&quot;],MEMBER[&quot;World Geodetic System 1984 (G1150)&quot;],MEMBER[&quot;World Geodetic System 1984 (G1674)&quot;],MEMBER[&quot;World Geodetic System 1984 (G1762)&quot;],MEMBER[&quot;World Geodetic System 1984 (G2139)&quot;],MEMBER[&quot;World Geodetic System 1984 (G2296)&quot;],ELLIPSOID[&quot;WGS 84&quot;,6378137,298.257223563,LENGTHUNIT[&quot;metre&quot;,1]],ENSEMBLEACCURACY[2.0]],PRIMEM[&quot;Greenwich&quot;,0,ANGLEUNIT[&quot;degree&quot;,0.0174532925199433]],ID[&quot;EPSG&quot;,4326]],CONVERSION[&quot;UTM zone 25N&quot;,METHOD[&quot;Transverse Mercator&quot;,ID[&quot;EPSG&quot;,9807]],PARAMETER[&quot;Latitude of natural origin&quot;,0,ANGLEUNIT[&quot;degree&quot;,0.0174532925199433],ID[&quot;EPSG&quot;,8801]],PARAMETER[&quot;Longitude of natural origin&quot;,-33,ANGLEUNIT[&quot;degree&quot;,0.0174532925199433],ID[&quot;EPSG&quot;,8802]],PARAMETER[&quot;Scale factor at natural origin&quot;,0.9996,SCALEUNIT[&quot;unity&quot;,1],ID[&quot;EPSG&quot;,8805]],PARAMETER[&quot;False easting&quot;,500000,LENGTHUNIT[&quot;metre&quot;,1],ID[&quot;EPSG&quot;,8806]],PARAMETER[&quot;False northing&quot;,0,LENGTHUNIT[&quot;metre&quot;,1],ID[&quot;EPSG&quot;,8807]]],CS[Cartesian,2],AXIS[&quot;(E)&quot;,east,ORDER[1],LENGTHUNIT[&quot;metre&quot;,1]],AXIS[&quot;(N)&quot;,north,ORDER[2],LENGTHUNIT[&quot;metre&quot;,1]],USAGE[SCOPE[&quot;Navigation and medium accuracy spatial referencing.&quot;],AREA[&quot;Between 36°W and 30°W, northern hemisphere between equator and 84°N, onshore and offshore. Greenland.&quot;],BBOX[0,-36,84,-30]],ID[&quot;EPSG&quot;,32625]]</dd><dt><span>semi_major_axis :</span></dt><dd>6378137.0</dd><dt><span>semi_minor_axis :</span></dt><dd>6356752.314245179</dd><dt><span>inverse_flattening :</span></dt><dd>298.257223563</dd><dt><span>reference_ellipsoid_name :</span></dt><dd>WGS 84</dd><dt><span>longitude_of_prime_meridian :</span></dt><dd>0.0</dd><dt><span>prime_meridian_name :</span></dt><dd>Greenwich</dd><dt><span>geographic_crs_name :</span></dt><dd>WGS 84</dd><dt><span>horizontal_datum_name :</span></dt><dd>World Geodetic System 1984 ensemble</dd><dt><span>projected_crs_name :</span></dt><dd>WGS 84 / UTM zone 25N</dd><dt><span>grid_mapping_name :</span></dt><dd>transverse_mercator</dd><dt><span>latitude_of_projection_origin :</span></dt><dd>0.0</dd><dt><span>longitude_of_central_meridian :</span></dt><dd>-33.0</dd><dt><span>false_easting :</span></dt><dd>500000.0</dd><dt><span>false_northing :</span></dt><dd>0.0</dd><dt><span>scale_factor_at_central_meridian :</span></dt><dd>0.9996</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=int64]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-6423d150-b619-4ca7-bf2c-7f3045b622aa' class='xr-section-summary-in' type='checkbox'  checked><label for='section-6423d150-b619-4ca7-bf2c-7f3045b622aa' class='xr-section-summary' >Data variables: <span>(13)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>b01</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1830, 1830), meta=np.ndarray&gt;</div><input id='attrs-14212f9b-56b6-425f-8574-70b3d7285946' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-14212f9b-56b6-425f-8574-70b3d7285946' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e5319acd-3f22-4e23-9853-68d61a5e1387' class='xr-var-data-in' type='checkbox'><label for='data-e5319acd-3f22-4e23-9853-68d61a5e1387' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;add_offset&#x27;: -0.1, &#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;dtype&#x27;: &#x27;&lt;u2&#x27;, &#x27;fill_value&#x27;: 0, &#x27;long_name&#x27;: &#x27;TOA reflectance from MSI acquisition at spectral band b01 442.3 nm&#x27;, &#x27;scale_factor&#x27;: 0.0001, &#x27;units&#x27;: &#x27;digital_counts&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u2</dd><dt><span>fill_value :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>TOA reflectance from MSI acquisition at spectral band b01 442.3 nm</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 7890240.0, 609780.0, 8000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32625</dd><dt><span>proj:shape :</span></dt><dd>[1830, 1830]</dd><dt><span>proj:transform :</span></dt><dd>[60.0, 0.0, 499980.0, 0.0, -60.0, 8000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 25N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,-33],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32625&quot;]]</dd><dt><span>units :</span></dt><dd>digital_counts</dd><dt><span>valid_max :</span></dt><dd>65535</dd><dt><span>valid_min :</span></dt><dd>1</dd><dt><span>history :</span></dt><dd>Up-sampling by factors x=0.166667 and y=0.166667 using spline interpolation of order 0.</dd><dt><span>grid_mapping :</span></dt><dd>spatial_ref</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -3108,7 +3095,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b02</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1830, 1830), meta=np.ndarray&gt;</div><input id='attrs-8788776b-d358-4547-9324-a661f04d7fa2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8788776b-d358-4547-9324-a661f04d7fa2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f11676ed-43ea-4f17-9d20-8bd3a285133e' class='xr-var-data-in' type='checkbox'><label for='data-f11676ed-43ea-4f17-9d20-8bd3a285133e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;add_offset&#x27;: -0.1, &#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;fill_value&#x27;: 0, &#x27;scale_factor&#x27;: 0.0001, &#x27;units&#x27;: &#x27;digital_counts&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u2</dd><dt><span>fill_value :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>TOA reflectance from MSI acquisition at spectral band b02 492.3 nm</dd><dt><span>proj:bbox :</span></dt><dd>[300000.0, 4890240.0, 409800.0, 5000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32632</dd><dt><span>proj:shape :</span></dt><dd>[10980, 10980]</dd><dt><span>proj:transform :</span></dt><dd>[10.0, 0.0, 300000.0, 0.0, -10.0, 5000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 32N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,9],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32632&quot;]]</dd><dt><span>units :</span></dt><dd>digital_counts</dd><dt><span>valid_max :</span></dt><dd>65535</dd><dt><span>valid_min :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b02</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1830, 1830), meta=np.ndarray&gt;</div><input id='attrs-10de403f-c730-4e53-a693-0f1857855a0c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-10de403f-c730-4e53-a693-0f1857855a0c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3f7fb8e7-3b53-4093-9c67-5c60e835f25e' class='xr-var-data-in' type='checkbox'><label for='data-3f7fb8e7-3b53-4093-9c67-5c60e835f25e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;add_offset&#x27;: -0.1, &#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;dtype&#x27;: &#x27;&lt;u2&#x27;, &#x27;fill_value&#x27;: 0, &#x27;long_name&#x27;: &#x27;TOA reflectance from MSI acquisition at spectral band b02 492.3 nm&#x27;, &#x27;scale_factor&#x27;: 0.0001, &#x27;units&#x27;: &#x27;digital_counts&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u2</dd><dt><span>fill_value :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>TOA reflectance from MSI acquisition at spectral band b02 492.3 nm</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 7890240.0, 609780.0, 8000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32625</dd><dt><span>proj:shape :</span></dt><dd>[10980, 10980]</dd><dt><span>proj:transform :</span></dt><dd>[10.0, 0.0, 499980.0, 0.0, -10.0, 8000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 25N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,-33],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32625&quot;]]</dd><dt><span>units :</span></dt><dd>digital_counts</dd><dt><span>valid_max :</span></dt><dd>65535</dd><dt><span>valid_min :</span></dt><dd>1</dd><dt><span>grid_mapping :</span></dt><dd>spatial_ref</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -3173,7 +3160,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b03</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1830, 1830), meta=np.ndarray&gt;</div><input id='attrs-56a0ac49-bd49-4f67-b788-a760d1a8e9f7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-56a0ac49-bd49-4f67-b788-a760d1a8e9f7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1b3d2998-25a9-4aa6-bb1f-8a1527ea1870' class='xr-var-data-in' type='checkbox'><label for='data-1b3d2998-25a9-4aa6-bb1f-8a1527ea1870' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;add_offset&#x27;: -0.1, &#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;fill_value&#x27;: 0, &#x27;scale_factor&#x27;: 0.0001, &#x27;units&#x27;: &#x27;digital_counts&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u2</dd><dt><span>fill_value :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>TOA reflectance from MSI acquisition at spectral band b03 559.0 nm</dd><dt><span>proj:bbox :</span></dt><dd>[300000.0, 4890240.0, 409800.0, 5000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32632</dd><dt><span>proj:shape :</span></dt><dd>[10980, 10980]</dd><dt><span>proj:transform :</span></dt><dd>[10.0, 0.0, 300000.0, 0.0, -10.0, 5000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 32N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,9],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32632&quot;]]</dd><dt><span>units :</span></dt><dd>digital_counts</dd><dt><span>valid_max :</span></dt><dd>65535</dd><dt><span>valid_min :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b03</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1830, 1830), meta=np.ndarray&gt;</div><input id='attrs-d0d9b06f-c7b5-4c62-8c15-eaa8743bab08' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d0d9b06f-c7b5-4c62-8c15-eaa8743bab08' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f5548f11-f8ea-46d1-802c-61d479fe234d' class='xr-var-data-in' type='checkbox'><label for='data-f5548f11-f8ea-46d1-802c-61d479fe234d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;add_offset&#x27;: -0.1, &#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;dtype&#x27;: &#x27;&lt;u2&#x27;, &#x27;fill_value&#x27;: 0, &#x27;long_name&#x27;: &#x27;TOA reflectance from MSI acquisition at spectral band b03 559.0 nm&#x27;, &#x27;scale_factor&#x27;: 0.0001, &#x27;units&#x27;: &#x27;digital_counts&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u2</dd><dt><span>fill_value :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>TOA reflectance from MSI acquisition at spectral band b03 559.0 nm</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 7890240.0, 609780.0, 8000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32625</dd><dt><span>proj:shape :</span></dt><dd>[10980, 10980]</dd><dt><span>proj:transform :</span></dt><dd>[10.0, 0.0, 499980.0, 0.0, -10.0, 8000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 25N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,-33],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32625&quot;]]</dd><dt><span>units :</span></dt><dd>digital_counts</dd><dt><span>valid_max :</span></dt><dd>65535</dd><dt><span>valid_min :</span></dt><dd>1</dd><dt><span>grid_mapping :</span></dt><dd>spatial_ref</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -3238,7 +3225,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b04</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1830, 1830), meta=np.ndarray&gt;</div><input id='attrs-60f8732f-1bf9-42cd-94c7-30cbd2e19618' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-60f8732f-1bf9-42cd-94c7-30cbd2e19618' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d168bf78-d12e-4ffa-bca9-1f31474d1e19' class='xr-var-data-in' type='checkbox'><label for='data-d168bf78-d12e-4ffa-bca9-1f31474d1e19' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;add_offset&#x27;: -0.1, &#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;fill_value&#x27;: 0, &#x27;scale_factor&#x27;: 0.0001, &#x27;units&#x27;: &#x27;digital_counts&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u2</dd><dt><span>fill_value :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>TOA reflectance from MSI acquisition at spectral band b04 665.0 nm</dd><dt><span>proj:bbox :</span></dt><dd>[300000.0, 4890240.0, 409800.0, 5000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32632</dd><dt><span>proj:shape :</span></dt><dd>[10980, 10980]</dd><dt><span>proj:transform :</span></dt><dd>[10.0, 0.0, 300000.0, 0.0, -10.0, 5000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 32N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,9],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32632&quot;]]</dd><dt><span>units :</span></dt><dd>digital_counts</dd><dt><span>valid_max :</span></dt><dd>65535</dd><dt><span>valid_min :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b04</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1830, 1830), meta=np.ndarray&gt;</div><input id='attrs-27fde56e-2570-451f-8131-48301728fa00' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-27fde56e-2570-451f-8131-48301728fa00' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-17ca01c7-5979-4db3-9f5f-372a476e730b' class='xr-var-data-in' type='checkbox'><label for='data-17ca01c7-5979-4db3-9f5f-372a476e730b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;add_offset&#x27;: -0.1, &#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;dtype&#x27;: &#x27;&lt;u2&#x27;, &#x27;fill_value&#x27;: 0, &#x27;long_name&#x27;: &#x27;TOA reflectance from MSI acquisition at spectral band b04 665.0 nm&#x27;, &#x27;scale_factor&#x27;: 0.0001, &#x27;units&#x27;: &#x27;digital_counts&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u2</dd><dt><span>fill_value :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>TOA reflectance from MSI acquisition at spectral band b04 665.0 nm</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 7890240.0, 609780.0, 8000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32625</dd><dt><span>proj:shape :</span></dt><dd>[10980, 10980]</dd><dt><span>proj:transform :</span></dt><dd>[10.0, 0.0, 499980.0, 0.0, -10.0, 8000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 25N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,-33],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32625&quot;]]</dd><dt><span>units :</span></dt><dd>digital_counts</dd><dt><span>valid_max :</span></dt><dd>65535</dd><dt><span>valid_min :</span></dt><dd>1</dd><dt><span>grid_mapping :</span></dt><dd>spatial_ref</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -3303,7 +3290,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b05</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1830, 1830), meta=np.ndarray&gt;</div><input id='attrs-14b1ab2c-acbd-472b-905f-d01ae9acdd12' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-14b1ab2c-acbd-472b-905f-d01ae9acdd12' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2d2d81a6-caff-4356-82ac-bdce880e3bc6' class='xr-var-data-in' type='checkbox'><label for='data-2d2d81a6-caff-4356-82ac-bdce880e3bc6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;add_offset&#x27;: -0.1, &#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;fill_value&#x27;: 0, &#x27;scale_factor&#x27;: 0.0001, &#x27;units&#x27;: &#x27;digital_counts&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u2</dd><dt><span>fill_value :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>TOA reflectance from MSI acquisition at spectral band b05 703.8 nm</dd><dt><span>proj:bbox :</span></dt><dd>[300000.0, 4890240.0, 409800.0, 5000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32632</dd><dt><span>proj:shape :</span></dt><dd>[5490, 5490]</dd><dt><span>proj:transform :</span></dt><dd>[20.0, 0.0, 300000.0, 0.0, -20.0, 5000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 32N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,9],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32632&quot;]]</dd><dt><span>units :</span></dt><dd>digital_counts</dd><dt><span>valid_max :</span></dt><dd>65535</dd><dt><span>valid_min :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b05</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1830, 1830), meta=np.ndarray&gt;</div><input id='attrs-b98e0345-0b5b-4d5b-bcc9-029c19bdbd65' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b98e0345-0b5b-4d5b-bcc9-029c19bdbd65' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8a138f36-2fdf-4d1f-9c0b-d000641d6532' class='xr-var-data-in' type='checkbox'><label for='data-8a138f36-2fdf-4d1f-9c0b-d000641d6532' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;add_offset&#x27;: -0.1, &#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;dtype&#x27;: &#x27;&lt;u2&#x27;, &#x27;fill_value&#x27;: 0, &#x27;long_name&#x27;: &#x27;TOA reflectance from MSI acquisition at spectral band b05 703.8 nm&#x27;, &#x27;scale_factor&#x27;: 0.0001, &#x27;units&#x27;: &#x27;digital_counts&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u2</dd><dt><span>fill_value :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>TOA reflectance from MSI acquisition at spectral band b05 703.8 nm</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 7890240.0, 609780.0, 8000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32625</dd><dt><span>proj:shape :</span></dt><dd>[5490, 5490]</dd><dt><span>proj:transform :</span></dt><dd>[20.0, 0.0, 499980.0, 0.0, -20.0, 8000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 25N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,-33],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32625&quot;]]</dd><dt><span>units :</span></dt><dd>digital_counts</dd><dt><span>valid_max :</span></dt><dd>65535</dd><dt><span>valid_min :</span></dt><dd>1</dd><dt><span>history :</span></dt><dd>Up-sampling by factors x=0.5 and y=0.5 using spline interpolation of order 0.</dd><dt><span>grid_mapping :</span></dt><dd>spatial_ref</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -3368,7 +3355,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b06</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1830, 1830), meta=np.ndarray&gt;</div><input id='attrs-8d47d5aa-b99c-4945-9155-b00b30290eb9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8d47d5aa-b99c-4945-9155-b00b30290eb9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2f76fc64-f57d-4416-a5a8-2f701a453bf2' class='xr-var-data-in' type='checkbox'><label for='data-2f76fc64-f57d-4416-a5a8-2f701a453bf2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;add_offset&#x27;: -0.1, &#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;fill_value&#x27;: 0, &#x27;scale_factor&#x27;: 0.0001, &#x27;units&#x27;: &#x27;digital_counts&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u2</dd><dt><span>fill_value :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>TOA reflectance from MSI acquisition at spectral band b06 739.1 nm</dd><dt><span>proj:bbox :</span></dt><dd>[300000.0, 4890240.0, 409800.0, 5000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32632</dd><dt><span>proj:shape :</span></dt><dd>[5490, 5490]</dd><dt><span>proj:transform :</span></dt><dd>[20.0, 0.0, 300000.0, 0.0, -20.0, 5000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 32N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,9],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32632&quot;]]</dd><dt><span>units :</span></dt><dd>digital_counts</dd><dt><span>valid_max :</span></dt><dd>65535</dd><dt><span>valid_min :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b06</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1830, 1830), meta=np.ndarray&gt;</div><input id='attrs-7a95544a-5550-420f-8999-58b1a653a90f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7a95544a-5550-420f-8999-58b1a653a90f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-db66b05a-ab77-45ef-9a0a-bcd5e638c338' class='xr-var-data-in' type='checkbox'><label for='data-db66b05a-ab77-45ef-9a0a-bcd5e638c338' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;add_offset&#x27;: -0.1, &#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;dtype&#x27;: &#x27;&lt;u2&#x27;, &#x27;fill_value&#x27;: 0, &#x27;long_name&#x27;: &#x27;TOA reflectance from MSI acquisition at spectral band b06 739.1 nm&#x27;, &#x27;scale_factor&#x27;: 0.0001, &#x27;units&#x27;: &#x27;digital_counts&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u2</dd><dt><span>fill_value :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>TOA reflectance from MSI acquisition at spectral band b06 739.1 nm</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 7890240.0, 609780.0, 8000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32625</dd><dt><span>proj:shape :</span></dt><dd>[5490, 5490]</dd><dt><span>proj:transform :</span></dt><dd>[20.0, 0.0, 499980.0, 0.0, -20.0, 8000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 25N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,-33],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32625&quot;]]</dd><dt><span>units :</span></dt><dd>digital_counts</dd><dt><span>valid_max :</span></dt><dd>65535</dd><dt><span>valid_min :</span></dt><dd>1</dd><dt><span>history :</span></dt><dd>Up-sampling by factors x=0.5 and y=0.5 using spline interpolation of order 0.</dd><dt><span>grid_mapping :</span></dt><dd>spatial_ref</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -3433,7 +3420,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b07</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1830, 1830), meta=np.ndarray&gt;</div><input id='attrs-e858e178-4011-42ee-af14-fdd10359bcc9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e858e178-4011-42ee-af14-fdd10359bcc9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8846281e-4937-4847-bc6d-c4d2aceeb7cc' class='xr-var-data-in' type='checkbox'><label for='data-8846281e-4937-4847-bc6d-c4d2aceeb7cc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;add_offset&#x27;: -0.1, &#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;fill_value&#x27;: 0, &#x27;scale_factor&#x27;: 0.0001, &#x27;units&#x27;: &#x27;digital_counts&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u2</dd><dt><span>fill_value :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>TOA reflectance from MSI acquisition at spectral band b07 779.7 nm</dd><dt><span>proj:bbox :</span></dt><dd>[300000.0, 4890240.0, 409800.0, 5000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32632</dd><dt><span>proj:shape :</span></dt><dd>[5490, 5490]</dd><dt><span>proj:transform :</span></dt><dd>[20.0, 0.0, 300000.0, 0.0, -20.0, 5000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 32N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,9],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32632&quot;]]</dd><dt><span>units :</span></dt><dd>digital_counts</dd><dt><span>valid_max :</span></dt><dd>65535</dd><dt><span>valid_min :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b07</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1830, 1830), meta=np.ndarray&gt;</div><input id='attrs-980519ba-7e1d-42a0-b748-609fb88f8c52' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-980519ba-7e1d-42a0-b748-609fb88f8c52' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-401ba910-2004-4412-afb9-900820073bac' class='xr-var-data-in' type='checkbox'><label for='data-401ba910-2004-4412-afb9-900820073bac' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;add_offset&#x27;: -0.1, &#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;dtype&#x27;: &#x27;&lt;u2&#x27;, &#x27;fill_value&#x27;: 0, &#x27;long_name&#x27;: &#x27;TOA reflectance from MSI acquisition at spectral band b07 779.7 nm&#x27;, &#x27;scale_factor&#x27;: 0.0001, &#x27;units&#x27;: &#x27;digital_counts&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u2</dd><dt><span>fill_value :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>TOA reflectance from MSI acquisition at spectral band b07 779.7 nm</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 7890240.0, 609780.0, 8000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32625</dd><dt><span>proj:shape :</span></dt><dd>[5490, 5490]</dd><dt><span>proj:transform :</span></dt><dd>[20.0, 0.0, 499980.0, 0.0, -20.0, 8000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 25N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,-33],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32625&quot;]]</dd><dt><span>units :</span></dt><dd>digital_counts</dd><dt><span>valid_max :</span></dt><dd>65535</dd><dt><span>valid_min :</span></dt><dd>1</dd><dt><span>history :</span></dt><dd>Up-sampling by factors x=0.5 and y=0.5 using spline interpolation of order 0.</dd><dt><span>grid_mapping :</span></dt><dd>spatial_ref</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -3498,7 +3485,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b08</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1830, 1830), meta=np.ndarray&gt;</div><input id='attrs-bef431b1-cde4-463a-ad98-d9e9b27a4e20' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bef431b1-cde4-463a-ad98-d9e9b27a4e20' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c7c2a603-7ecb-4742-8b90-aa30acc96b59' class='xr-var-data-in' type='checkbox'><label for='data-c7c2a603-7ecb-4742-8b90-aa30acc96b59' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;add_offset&#x27;: -0.1, &#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;fill_value&#x27;: 0, &#x27;scale_factor&#x27;: 0.0001, &#x27;units&#x27;: &#x27;digital_counts&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u2</dd><dt><span>fill_value :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>TOA reflectance from MSI acquisition at spectral band b08 833.0 nm</dd><dt><span>proj:bbox :</span></dt><dd>[300000.0, 4890240.0, 409800.0, 5000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32632</dd><dt><span>proj:shape :</span></dt><dd>[10980, 10980]</dd><dt><span>proj:transform :</span></dt><dd>[10.0, 0.0, 300000.0, 0.0, -10.0, 5000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 32N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,9],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32632&quot;]]</dd><dt><span>units :</span></dt><dd>digital_counts</dd><dt><span>valid_max :</span></dt><dd>65535</dd><dt><span>valid_min :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b08</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1830, 1830), meta=np.ndarray&gt;</div><input id='attrs-dccfbf91-d407-47fa-bb9a-487f4c00825d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-dccfbf91-d407-47fa-bb9a-487f4c00825d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-731fe946-02ca-4c6d-b5c3-fcef26ed0952' class='xr-var-data-in' type='checkbox'><label for='data-731fe946-02ca-4c6d-b5c3-fcef26ed0952' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;add_offset&#x27;: -0.1, &#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;dtype&#x27;: &#x27;&lt;u2&#x27;, &#x27;fill_value&#x27;: 0, &#x27;long_name&#x27;: &#x27;TOA reflectance from MSI acquisition at spectral band b08 833.0 nm&#x27;, &#x27;scale_factor&#x27;: 0.0001, &#x27;units&#x27;: &#x27;digital_counts&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u2</dd><dt><span>fill_value :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>TOA reflectance from MSI acquisition at spectral band b08 833.0 nm</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 7890240.0, 609780.0, 8000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32625</dd><dt><span>proj:shape :</span></dt><dd>[10980, 10980]</dd><dt><span>proj:transform :</span></dt><dd>[10.0, 0.0, 499980.0, 0.0, -10.0, 8000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 25N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,-33],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32625&quot;]]</dd><dt><span>units :</span></dt><dd>digital_counts</dd><dt><span>valid_max :</span></dt><dd>65535</dd><dt><span>valid_min :</span></dt><dd>1</dd><dt><span>grid_mapping :</span></dt><dd>spatial_ref</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -3563,7 +3550,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b09</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1830, 1830), meta=np.ndarray&gt;</div><input id='attrs-4fd8987b-e362-4df6-9ee8-3b04bb3e70f8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4fd8987b-e362-4df6-9ee8-3b04bb3e70f8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c914e59e-a80a-41d2-a648-8ff48a573bc3' class='xr-var-data-in' type='checkbox'><label for='data-c914e59e-a80a-41d2-a648-8ff48a573bc3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;add_offset&#x27;: -0.1, &#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;fill_value&#x27;: 0, &#x27;scale_factor&#x27;: 0.0001, &#x27;units&#x27;: &#x27;digital_counts&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u2</dd><dt><span>fill_value :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>TOA reflectance from MSI acquisition at spectral band b09 943.2 nm</dd><dt><span>proj:bbox :</span></dt><dd>[300000.0, 4890240.0, 409800.0, 5000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32632</dd><dt><span>proj:shape :</span></dt><dd>[1830, 1830]</dd><dt><span>proj:transform :</span></dt><dd>[60.0, 0.0, 300000.0, 0.0, -60.0, 5000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 32N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,9],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32632&quot;]]</dd><dt><span>units :</span></dt><dd>digital_counts</dd><dt><span>valid_max :</span></dt><dd>65535</dd><dt><span>valid_min :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b09</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1830, 1830), meta=np.ndarray&gt;</div><input id='attrs-7119012f-d560-4428-bce0-33c1e0e03de9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7119012f-d560-4428-bce0-33c1e0e03de9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-88892644-d56b-48d4-90dd-db4d9f23d56c' class='xr-var-data-in' type='checkbox'><label for='data-88892644-d56b-48d4-90dd-db4d9f23d56c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;add_offset&#x27;: -0.1, &#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;dtype&#x27;: &#x27;&lt;u2&#x27;, &#x27;fill_value&#x27;: 0, &#x27;long_name&#x27;: &#x27;TOA reflectance from MSI acquisition at spectral band b09 943.2 nm&#x27;, &#x27;scale_factor&#x27;: 0.0001, &#x27;units&#x27;: &#x27;digital_counts&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u2</dd><dt><span>fill_value :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>TOA reflectance from MSI acquisition at spectral band b09 943.2 nm</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 7890240.0, 609780.0, 8000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32625</dd><dt><span>proj:shape :</span></dt><dd>[1830, 1830]</dd><dt><span>proj:transform :</span></dt><dd>[60.0, 0.0, 499980.0, 0.0, -60.0, 8000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 25N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,-33],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32625&quot;]]</dd><dt><span>units :</span></dt><dd>digital_counts</dd><dt><span>valid_max :</span></dt><dd>65535</dd><dt><span>valid_min :</span></dt><dd>1</dd><dt><span>history :</span></dt><dd>Up-sampling by factors x=0.166667 and y=0.166667 using spline interpolation of order 0.</dd><dt><span>grid_mapping :</span></dt><dd>spatial_ref</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -3628,7 +3615,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b10</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1830, 1830), meta=np.ndarray&gt;</div><input id='attrs-9ea4ce80-9b74-4758-aaf3-418f3d8e2045' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9ea4ce80-9b74-4758-aaf3-418f3d8e2045' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9bcfb209-4797-44a9-89b2-a2abf3e3c69e' class='xr-var-data-in' type='checkbox'><label for='data-9bcfb209-4797-44a9-89b2-a2abf3e3c69e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;add_offset&#x27;: -0.1, &#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;fill_value&#x27;: 0, &#x27;scale_factor&#x27;: 0.0001, &#x27;units&#x27;: &#x27;digital_counts&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u2</dd><dt><span>fill_value :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>TOA reflectance from MSI acquisition at spectral band b10 1376.9 nm</dd><dt><span>proj:bbox :</span></dt><dd>[300000.0, 4890240.0, 409800.0, 5000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32632</dd><dt><span>proj:shape :</span></dt><dd>[1830, 1830]</dd><dt><span>proj:transform :</span></dt><dd>[60.0, 0.0, 300000.0, 0.0, -60.0, 5000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 32N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,9],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32632&quot;]]</dd><dt><span>units :</span></dt><dd>digital_counts</dd><dt><span>valid_max :</span></dt><dd>65535</dd><dt><span>valid_min :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b10</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1830, 1830), meta=np.ndarray&gt;</div><input id='attrs-10870c94-e8f9-4e72-b225-9a1b2171d128' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-10870c94-e8f9-4e72-b225-9a1b2171d128' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d134895f-1c6d-40da-b827-cdbf0059976d' class='xr-var-data-in' type='checkbox'><label for='data-d134895f-1c6d-40da-b827-cdbf0059976d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;add_offset&#x27;: -0.1, &#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;dtype&#x27;: &#x27;&lt;u2&#x27;, &#x27;fill_value&#x27;: 0, &#x27;long_name&#x27;: &#x27;TOA reflectance from MSI acquisition at spectral band b10 1376.9 nm&#x27;, &#x27;scale_factor&#x27;: 0.0001, &#x27;units&#x27;: &#x27;digital_counts&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u2</dd><dt><span>fill_value :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>TOA reflectance from MSI acquisition at spectral band b10 1376.9 nm</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 7890240.0, 609780.0, 8000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32625</dd><dt><span>proj:shape :</span></dt><dd>[1830, 1830]</dd><dt><span>proj:transform :</span></dt><dd>[60.0, 0.0, 499980.0, 0.0, -60.0, 8000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 25N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,-33],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32625&quot;]]</dd><dt><span>units :</span></dt><dd>digital_counts</dd><dt><span>valid_max :</span></dt><dd>65535</dd><dt><span>valid_min :</span></dt><dd>1</dd><dt><span>history :</span></dt><dd>Up-sampling by factors x=0.166667 and y=0.166667 using spline interpolation of order 0.</dd><dt><span>grid_mapping :</span></dt><dd>spatial_ref</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -3693,7 +3680,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b11</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1830, 1830), meta=np.ndarray&gt;</div><input id='attrs-c59030ca-f7e9-447f-92fa-d54825e76934' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c59030ca-f7e9-447f-92fa-d54825e76934' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8f0e2c29-eea2-468d-b63e-b44a07b66c03' class='xr-var-data-in' type='checkbox'><label for='data-8f0e2c29-eea2-468d-b63e-b44a07b66c03' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;add_offset&#x27;: -0.1, &#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;fill_value&#x27;: 0, &#x27;scale_factor&#x27;: 0.0001, &#x27;units&#x27;: &#x27;digital_counts&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u2</dd><dt><span>fill_value :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>TOA reflectance from MSI acquisition at spectral band b11 1610.4 nm</dd><dt><span>proj:bbox :</span></dt><dd>[300000.0, 4890240.0, 409800.0, 5000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32632</dd><dt><span>proj:shape :</span></dt><dd>[5490, 5490]</dd><dt><span>proj:transform :</span></dt><dd>[20.0, 0.0, 300000.0, 0.0, -20.0, 5000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 32N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,9],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32632&quot;]]</dd><dt><span>units :</span></dt><dd>digital_counts</dd><dt><span>valid_max :</span></dt><dd>65535</dd><dt><span>valid_min :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b11</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1830, 1830), meta=np.ndarray&gt;</div><input id='attrs-a6f69e43-4537-4ae3-ac50-95e53ac63aa6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a6f69e43-4537-4ae3-ac50-95e53ac63aa6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f0efe9a8-4a0e-47df-b5a0-ef5b8c6696fc' class='xr-var-data-in' type='checkbox'><label for='data-f0efe9a8-4a0e-47df-b5a0-ef5b8c6696fc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;add_offset&#x27;: -0.1, &#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;dtype&#x27;: &#x27;&lt;u2&#x27;, &#x27;fill_value&#x27;: 0, &#x27;long_name&#x27;: &#x27;TOA reflectance from MSI acquisition at spectral band b11 1610.4 nm&#x27;, &#x27;scale_factor&#x27;: 0.0001, &#x27;units&#x27;: &#x27;digital_counts&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u2</dd><dt><span>fill_value :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>TOA reflectance from MSI acquisition at spectral band b11 1610.4 nm</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 7890240.0, 609780.0, 8000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32625</dd><dt><span>proj:shape :</span></dt><dd>[5490, 5490]</dd><dt><span>proj:transform :</span></dt><dd>[20.0, 0.0, 499980.0, 0.0, -20.0, 8000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 25N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,-33],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32625&quot;]]</dd><dt><span>units :</span></dt><dd>digital_counts</dd><dt><span>valid_max :</span></dt><dd>65535</dd><dt><span>valid_min :</span></dt><dd>1</dd><dt><span>history :</span></dt><dd>Up-sampling by factors x=0.5 and y=0.5 using spline interpolation of order 0.</dd><dt><span>grid_mapping :</span></dt><dd>spatial_ref</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -3758,7 +3745,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b12</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1830, 1830), meta=np.ndarray&gt;</div><input id='attrs-ef97cfaf-b985-48df-9096-36484bdc8df9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ef97cfaf-b985-48df-9096-36484bdc8df9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6374951d-efae-4e42-bf51-496306a6ae00' class='xr-var-data-in' type='checkbox'><label for='data-6374951d-efae-4e42-bf51-496306a6ae00' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;add_offset&#x27;: -0.1, &#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;fill_value&#x27;: 0, &#x27;scale_factor&#x27;: 0.0001, &#x27;units&#x27;: &#x27;digital_counts&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u2</dd><dt><span>fill_value :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>TOA reflectance from MSI acquisition at spectral band b12 2185.7 nm</dd><dt><span>proj:bbox :</span></dt><dd>[300000.0, 4890240.0, 409800.0, 5000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32632</dd><dt><span>proj:shape :</span></dt><dd>[5490, 5490]</dd><dt><span>proj:transform :</span></dt><dd>[20.0, 0.0, 300000.0, 0.0, -20.0, 5000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 32N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,9],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32632&quot;]]</dd><dt><span>units :</span></dt><dd>digital_counts</dd><dt><span>valid_max :</span></dt><dd>65535</dd><dt><span>valid_min :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b12</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1830, 1830), meta=np.ndarray&gt;</div><input id='attrs-29d68138-7802-41da-94ad-9f9fd800ec2e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-29d68138-7802-41da-94ad-9f9fd800ec2e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8239cc37-a0e9-4d0c-afd8-0ac2629b7278' class='xr-var-data-in' type='checkbox'><label for='data-8239cc37-a0e9-4d0c-afd8-0ac2629b7278' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;add_offset&#x27;: -0.1, &#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;dtype&#x27;: &#x27;&lt;u2&#x27;, &#x27;fill_value&#x27;: 0, &#x27;long_name&#x27;: &#x27;TOA reflectance from MSI acquisition at spectral band b12 2185.7 nm&#x27;, &#x27;scale_factor&#x27;: 0.0001, &#x27;units&#x27;: &#x27;digital_counts&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u2</dd><dt><span>fill_value :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>TOA reflectance from MSI acquisition at spectral band b12 2185.7 nm</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 7890240.0, 609780.0, 8000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32625</dd><dt><span>proj:shape :</span></dt><dd>[5490, 5490]</dd><dt><span>proj:transform :</span></dt><dd>[20.0, 0.0, 499980.0, 0.0, -20.0, 8000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 25N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,-33],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32625&quot;]]</dd><dt><span>units :</span></dt><dd>digital_counts</dd><dt><span>valid_max :</span></dt><dd>65535</dd><dt><span>valid_min :</span></dt><dd>1</dd><dt><span>history :</span></dt><dd>Up-sampling by factors x=0.5 and y=0.5 using spline interpolation of order 0.</dd><dt><span>grid_mapping :</span></dt><dd>spatial_ref</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -3823,7 +3810,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b8a</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1830, 1830), meta=np.ndarray&gt;</div><input id='attrs-85248a87-ec8d-4c9d-94df-f951c0739684' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-85248a87-ec8d-4c9d-94df-f951c0739684' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0ffae4eb-b741-43d0-aa9a-fb1d6b486c27' class='xr-var-data-in' type='checkbox'><label for='data-0ffae4eb-b741-43d0-aa9a-fb1d6b486c27' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;add_offset&#x27;: -0.1, &#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;fill_value&#x27;: 0, &#x27;scale_factor&#x27;: 0.0001, &#x27;units&#x27;: &#x27;digital_counts&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u2</dd><dt><span>fill_value :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>TOA reflectance from MSI acquisition at spectral band b8a 864.0 nm</dd><dt><span>proj:bbox :</span></dt><dd>[300000.0, 4890240.0, 409800.0, 5000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32632</dd><dt><span>proj:shape :</span></dt><dd>[5490, 5490]</dd><dt><span>proj:transform :</span></dt><dd>[20.0, 0.0, 300000.0, 0.0, -20.0, 5000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 32N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,9],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32632&quot;]]</dd><dt><span>units :</span></dt><dd>digital_counts</dd><dt><span>valid_max :</span></dt><dd>65535</dd><dt><span>valid_min :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b8a</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1830, 1830), meta=np.ndarray&gt;</div><input id='attrs-ad90fc3f-72ae-429d-97bf-52580419b735' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ad90fc3f-72ae-429d-97bf-52580419b735' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-44f38142-db16-42f3-99bd-81867c569d0e' class='xr-var-data-in' type='checkbox'><label for='data-44f38142-db16-42f3-99bd-81867c569d0e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;add_offset&#x27;: -0.1, &#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;dtype&#x27;: &#x27;&lt;u2&#x27;, &#x27;fill_value&#x27;: 0, &#x27;long_name&#x27;: &#x27;TOA reflectance from MSI acquisition at spectral band b8a 864.0 nm&#x27;, &#x27;scale_factor&#x27;: 0.0001, &#x27;units&#x27;: &#x27;digital_counts&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u2</dd><dt><span>fill_value :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>TOA reflectance from MSI acquisition at spectral band b8a 864.0 nm</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 7890240.0, 609780.0, 8000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32625</dd><dt><span>proj:shape :</span></dt><dd>[5490, 5490]</dd><dt><span>proj:transform :</span></dt><dd>[20.0, 0.0, 499980.0, 0.0, -20.0, 8000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 25N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,-33],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32625&quot;]]</dd><dt><span>units :</span></dt><dd>digital_counts</dd><dt><span>valid_max :</span></dt><dd>65535</dd><dt><span>valid_min :</span></dt><dd>1</dd><dt><span>history :</span></dt><dd>Up-sampling by factors x=0.5 and y=0.5 using spline interpolation of order 0.</dd><dt><span>grid_mapping :</span></dt><dd>spatial_ref</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -3888,53 +3875,68 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-84c3ec80-8b76-4fb4-a9e1-9081453eb98d' class='xr-section-summary-in' type='checkbox'  ><label for='section-84c3ec80-8b76-4fb4-a9e1-9081453eb98d' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>x</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-2a7b9e2d-abb0-478d-8809-ad81c8a7fd0c' class='xr-index-data-in' type='checkbox'/><label for='index-2a7b9e2d-abb0-478d-8809-ad81c8a7fd0c' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([300005, 300015, 300025, 300035, 300045, 300055, 300065, 300075, 300085,\n",
-       "       300095,\n",
+       "</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-25cccc59-cc1d-49a0-a007-9eea67a2fedc' class='xr-section-summary-in' type='checkbox'  ><label for='section-25cccc59-cc1d-49a0-a007-9eea67a2fedc' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>x</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-60b9bec7-974f-4a50-a7fc-dc92d7a38492' class='xr-index-data-in' type='checkbox'/><label for='index-60b9bec7-974f-4a50-a7fc-dc92d7a38492' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([499985, 499995, 500005, 500015, 500025, 500035, 500045, 500055, 500065,\n",
+       "       500075,\n",
        "       ...\n",
-       "       409705, 409715, 409725, 409735, 409745, 409755, 409765, 409775, 409785,\n",
-       "       409795],\n",
-       "      dtype=&#x27;int64&#x27;, name=&#x27;x&#x27;, length=10980))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>y</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-b33e0150-c1be-4ac6-9c31-580b9513f24f' class='xr-index-data-in' type='checkbox'/><label for='index-b33e0150-c1be-4ac6-9c31-580b9513f24f' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([5000035, 5000025, 5000015, 5000005, 4999995, 4999985, 4999975, 4999965,\n",
-       "       4999955, 4999945,\n",
+       "       609685, 609695, 609705, 609715, 609725, 609735, 609745, 609755, 609765,\n",
+       "       609775],\n",
+       "      dtype=&#x27;int64&#x27;, name=&#x27;x&#x27;, length=10980))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>y</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-a723237d-af5a-42e6-bbe2-dfb93ddfb153' class='xr-index-data-in' type='checkbox'/><label for='index-a723237d-af5a-42e6-bbe2-dfb93ddfb153' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([8000035, 8000025, 8000015, 8000005, 7999995, 7999985, 7999975, 7999965,\n",
+       "       7999955, 7999945,\n",
        "       ...\n",
-       "       4890335, 4890325, 4890315, 4890305, 4890295, 4890285, 4890275, 4890265,\n",
-       "       4890255, 4890245],\n",
-       "      dtype=&#x27;int64&#x27;, name=&#x27;y&#x27;, length=10980))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-932aab6f-20ff-473f-ab30-062d2080a84b' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-932aab6f-20ff-473f-ab30-062d2080a84b' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
+       "       7890335, 7890325, 7890315, 7890305, 7890295, 7890285, 7890275, 7890265,\n",
+       "       7890255, 7890245],\n",
+       "      dtype=&#x27;int64&#x27;, name=&#x27;y&#x27;, length=10980))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-7a87418d-6285-4798-8372-7e0ef6f1a93a' class='xr-section-summary-in' type='checkbox'  ><label for='section-7a87418d-6285-4798-8372-7e0ef6f1a93a' class='xr-section-summary' >Attributes: <span>(26)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>L0_ancillary_data_quality :</span></dt><dd>null</dd><dt><span>L0_ephemeris_data_quality :</span></dt><dd>null</dd><dt><span>NUC_table_ID :</span></dt><dd>2</dd><dt><span>SWIR_rearrangement_flag :</span></dt><dd>null</dd><dt><span>UTM_zone_identification :</span></dt><dd>S2B_OPER_MSI_L1C_TL_2BPS_20250415T180239_A042350_T25WEV_N05.11</dd><dt><span>absolute_location_assessment_from_AOCS :</span></dt><dd>null</dd><dt><span>band_description :</span></dt><dd>{&#x27;01&#x27;: {&#x27;bandwidth&#x27;: &#x27;20.0&#x27;, &#x27;onboard_compression_rate&#x27;: &#x27;2.655&#x27;, &#x27;onboard_integration_time&#x27;: &#x27;7.22833&#x27;, &#x27;units&#x27;: &#x27;nm&#x27;}, &#x27;02&#x27;: {&#x27;bandwidth&#x27;: &#x27;65.0&#x27;, &#x27;onboard_compression_rate&#x27;: &#x27;2.97&#x27;, &#x27;onboard_integration_time&#x27;: &#x27;1.2646269&#x27;, &#x27;units&#x27;: &#x27;nm&#x27;}, &#x27;03&#x27;: {&#x27;bandwidth&#x27;: &#x27;35.0&#x27;, &#x27;onboard_compression_rate&#x27;: &#x27;2.97&#x27;, &#x27;onboard_integration_time&#x27;: &#x27;1.2996743&#x27;, &#x27;units&#x27;: &#x27;nm&#x27;}, &#x27;04&#x27;: {&#x27;bandwidth&#x27;: &#x27;30.0&#x27;, &#x27;onboard_compression_rate&#x27;: &#x27;2.97&#x27;, &#x27;onboard_integration_time&#x27;: &#x27;1.3405629&#x27;, &#x27;units&#x27;: &#x27;nm&#x27;}, &#x27;05&#x27;: {&#x27;bandwidth&#x27;: &#x27;15.0&#x27;, &#x27;onboard_compression_rate&#x27;: &#x27;2.655&#x27;, &#x27;onboard_integration_time&#x27;: &#x27;2.7846026&#x27;, &#x27;units&#x27;: &#x27;nm&#x27;}, &#x27;06&#x27;: {&#x27;bandwidth&#x27;: &#x27;13.0&#x27;, &#x27;onboard_compression_rate&#x27;: &#x27;2.655&#x27;, &#x27;onboard_integration_time&#x27;: &#x27;2.7727115&#x27;, &#x27;units&#x27;: &#x27;nm&#x27;}, &#x27;07&#x27;: {&#x27;bandwidth&#x27;: &#x27;19.0&#x27;, &#x27;onboard_compression_rate&#x27;: &#x27;2.655&#x27;, &#x27;onboard_integration_time&#x27;: &#x27;2.7727115&#x27;, &#x27;units&#x27;: &#x27;nm&#x27;}, &#x27;08&#x27;: {&#x27;bandwidth&#x27;: &#x27;105.0&#x27;, &#x27;onboard_compression_rate&#x27;: &#x27;2.97&#x27;, &#x27;onboard_integration_time&#x27;: &#x27;1.3872929&#x27;, &#x27;units&#x27;: &#x27;nm&#x27;}, &#x27;09&#x27;: {&#x27;bandwidth&#x27;: &#x27;20.0&#x27;, &#x27;onboard_compression_rate&#x27;: &#x27;2.655&#x27;, &#x27;onboard_integration_time&#x27;: &#x27;8.031501&#x27;, &#x27;units&#x27;: &#x27;nm&#x27;}, &#x27;10&#x27;: {&#x27;bandwidth&#x27;: &#x27;30.0&#x27;, &#x27;onboard_compression_rate&#x27;: &#x27;2.655&#x27;, &#x27;onboard_integration_time&#x27;: &#x27;5.5537686&#x27;, &#x27;units&#x27;: &#x27;nm&#x27;}, &#x27;11&#x27;: {&#x27;bandwidth&#x27;: &#x27;90.0&#x27;, &#x27;onboard_compression_rate&#x27;: &#x27;2.4&#x27;, &#x27;onboard_integration_time&#x27;: &#x27;1.3793689&#x27;, &#x27;units&#x27;: &#x27;nm&#x27;}, &#x27;12&#x27;: {&#x27;bandwidth&#x27;: &#x27;180.0&#x27;, &#x27;onboard_compression_rate&#x27;: &#x27;2.4&#x27;, &#x27;onboard_integration_time&#x27;: &#x27;1.4761667&#x27;, &#x27;units&#x27;: &#x27;nm&#x27;}, &#x27;8A&#x27;: {&#x27;bandwidth&#x27;: &#x27;20.0&#x27;, &#x27;onboard_compression_rate&#x27;: &#x27;2.655&#x27;, &#x27;onboard_integration_time&#x27;: &#x27;2.7608204&#x27;, &#x27;units&#x27;: &#x27;nm&#x27;}, &#x27;b01&#x27;: {&#x27;bandwidth&#x27;: 20.0, &#x27;central_wavelength&#x27;: 442.3, &#x27;onboard_compression_rate&#x27;: &#x27;2.655&#x27;, &#x27;onboard_integration_time&#x27;: &#x27;7.22833&#x27;, &#x27;physical_gain&#x27;: &#x27;3.95173019&#x27;, &#x27;spectral_response_step&#x27;: &#x27;1&#x27;, &#x27;spectral_response_values&#x27;: &#x27;0.0062411 0.01024045 0.00402983 0.00642179 0.00552753 0.0065525 0.00409887 0.006297 0.00436742 0.00233356 0.00058162 0.00202276 0.00294328 0.00485362 0.00317041 0.00237657 0.00234612 0.00440152 0.01292397 0.05001678 0.18650104 0.45441623 0.72307877 0.83999211 0.86456334 0.87472096 0.89215296 0.91090814 0.92588017 0.93924094 0.94491826 0.95078529 0.96803023 0.99939195 1 0.97548364 0.96148351 0.94986211 0.91841452 0.87989802 0.80383677 0.59752075 0.30474132 0.10798014 0.0304465 0.00885119&#x27;, &#x27;units&#x27;: &#x27;nm&#x27;, &#x27;wavelength_max&#x27;: 456.0, &#x27;wavelength_min&#x27;: 411.0}, &#x27;b02&#x27;: {&#x27;bandwidth&#x27;: 65.0, &#x27;central_wavelength&#x27;: 492.3, &#x27;onboard_compression_rate&#x27;: &#x27;2.97&#x27;, &#x27;onboard_integration_time&#x27;: &#x27;1.2646269&#x27;, &#x27;physical_gain&#x27;: &#x27;3.80889618&#x27;, &#x27;spectral_response_step&#x27;: &#x27;1&#x27;, &#x27;spectral_response_values&#x27;: &#x27;0.05529541 0.12005068 0.25199051 0.4623617 0.65162379 0.77642171 0.82319091 0.83083116 0.83382106 0.837526 0.86304286 0.88226141 0.90486326 0.92043837 0.93602675 0.930533 0.92714067 0.9161479 0.90551724 0.89745515 0.90266694 0.90854264 0.92047913 0.92417935 0.91845025 0.90743244 0.89733983 0.88646415 0.87189983 0.85643973 0.84473414 0.84190734 0.85644111 0.87782724 0.90261174 0.91840544 0.94585847 0.96887192 0.99336135 0.99927899 1 0.99520325 0.98412711 0.97947473 0.97808297 0.97213439 0.96277794 0.95342234 0.93802376 0.92460144 0.90932642 0.90192251 0.89184298 0.88963556 0.89146958 0.89877911 0.91056869 0.92427362 0.93823555 0.95311791 0.97150808 0.98737003 0.99658514 0.99367959 0.98144714 0.95874415 0.89291635 0.73566218 0.52060373 0.3322804 0.19492197 0.11732617 0.07507304 0.05094154 0.03213016 0.01510217 0.00447984&#x27;, &#x27;units&#x27;: &#x27;nm&#x27;, &#x27;wavelength_max&#x27;: 532.0, &#x27;wavelength_min&#x27;: 456.0}, &#x27;b03&#x27;: {&#x27;bandwidth&#x27;: 35.0, &#x27;central_wavelength&#x27;: 559.0, &#x27;onboard_compression_rate&#x27;: &#x27;2.97&#x27;, &#x27;onboard_integration_time&#x27;: &#x27;1.2996743&#x27;, &#x27;physical_gain&#x27;: &#x27;4.22403511&#x27;, &#x27;spectral_response_step&#x27;: &#x27;1&#x27;, &#x27;spectral_response_values&#x27;: &#x27;0.00188039 0.01545903 0.03660414 0.08100583 0.16917887 0.33278274 0.58622794 0.80916412 0.913051 0.94472284 0.94898813 0.94369132 0.92845674 0.91256938 0.90078036 0.89958598 0.90547138 0.92045355 0.94065665 0.96199681 0.98186744 0.9985841 1 0.99279888 0.97801325 0.95301174 0.9266333 0.89359131 0.86941793 0.84827 0.83908301 0.83206209 0.8291787 0.83305844 0.84630939 0.86396307 0.87268076 0.86818339 0.8554947 0.80839054 0.67650876 0.45584205 0.24737576 0.12765465 0.0589016 0.02564742 0.00515905&#x27;, &#x27;units&#x27;: &#x27;nm&#x27;, &#x27;wavelength_max&#x27;: 582.0, &#x27;wavelength_min&#x27;: 536.0}, &#x27;b04&#x27;: {&#x27;bandwidth&#x27;: 30.0, &#x27;central_wavelength&#x27;: 665.0, &#x27;onboard_compression_rate&#x27;: &#x27;2.97&#x27;, &#x27;onboard_integration_time&#x27;: &#x27;1.3405629&#x27;, &#x27;physical_gain&#x27;: &#x27;4.76131054&#x27;, &#x27;spectral_response_step&#x27;: &#x27;1&#x27;, &#x27;spectral_response_values&#x27;: &#x27;0.00499358 0.02642563 0.11905127 0.333204 0.59813448 0.80612041 0.91152955 0.92179127 0.91677167 0.90751672 0.89867522 0.89413622 0.89685141 0.89933396 0.90191681 0.90710817 0.9164622 0.92908702 0.9426682 0.95591935 0.96854537 0.98264967 0.99231022 1 0.99904114 0.99257339 0.97943242 0.96553214 0.95377013 0.94146127 0.92151286 0.89308475 0.83539461 0.69759082 0.49483622 0.27886075 0.10892715 0.03028701 0.00747382 0.00087148&#x27;, &#x27;units&#x27;: &#x27;nm&#x27;, &#x27;wavelength_max&#x27;: 685.0, &#x27;wavelength_min&#x27;: 646.0}, &#x27;b05&#x27;: {&#x27;bandwidth&#x27;: 15.0, &#x27;central_wavelength&#x27;: 703.8, &#x27;onboard_compression_rate&#x27;: &#x27;2.655&#x27;, &#x27;onboard_integration_time&#x27;: 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&#x27;S2B_OPER_GIP_VIEDIR_MPC__20170512T114736_V20170322T000000_21000101T000000_B07&#x27;, &#x27;S2B_OPER_GIP_VIEDIR_MPC__20170512T114736_V20170322T000000_21000101T000000_B02&#x27;, &#x27;S2B_OPER_GIP_VIEDIR_MPC__20170512T114736_V20170322T000000_21000101T000000_B12&#x27;, &#x27;S2B_OPER_GIP_VIEDIR_MPC__20170512T114736_V20170322T000000_21000101T000000_B04&#x27;, &#x27;S2B_OPER_GIP_VIEDIR_MPC__20170512T114736_V20170322T000000_21000101T000000_B06&#x27;, &#x27;S2B_OPER_GIP_VIEDIR_MPC__20170512T114736_V20170322T000000_21000101T000000_B09&#x27;, &#x27;S2B_OPER_GIP_VIEDIR_MPC__20170512T114736_V20170322T000000_21000101T000000_B05&#x27;, &#x27;S2B_OPER_GIP_VIEDIR_MPC__20170512T114736_V20170322T000000_21000101T000000_B10&#x27;], &#x27;used CAMS file names&#x27;: &#x27;S2__OPER_AUX_CAMSFO_ADG__20250415T000000_V20250415T000000_20250417T010000&#x27;, &#x27;used DEM file name&#x27;: &#x27;S2__OPER_DEM_GLOBEF_PDMC_19800101T000000_S19800101T000000&#x27;, &#x27;used ECMWF file names&#x27;: &#x27;S2__OPER_AUX_ECMWFD_ADG__20250415T000000_V20250415T090000_20250417T030000&#x27;, &#x27;used GRI file list&#x27;: [&#x27;n&#x27;, &#x27;1&#x27;, &#x27;:&#x27;, &#x27;A&#x27;, &#x27;u&#x27;, &#x27;x&#x27;, &#x27;i&#x27;, &#x27;l&#x27;, &#x27;i&#x27;, &#x27;a&#x27;, &#x27;r&#x27;, &#x27;y&#x27;, &#x27;_&#x27;, &#x27;D&#x27;, &#x27;a&#x27;, &#x27;t&#x27;, &#x27;a&#x27;, &#x27;_&#x27;, &#x27;I&#x27;, &#x27;n&#x27;, &#x27;f&#x27;, &#x27;o&#x27;, &#x27;/&#x27;, &#x27;G&#x27;, &#x27;R&#x27;, &#x27;I&#x27;, &#x27;_&#x27;, &#x27;L&#x27;, &#x27;i&#x27;, &#x27;s&#x27;, &#x27;t&#x27;], &#x27;used IERS file name&#x27;: &#x27;S2__OPER_AUX_UT1UTC_PDMC_20250410T000000_V20250411T000000_20260410T000000&#x27;}, &#x27;organisation&#x27;: &#x27;ESA&#x27;, &#x27;output&#x27;: &#x27;S2MSIL1C_etc&#x27;, &#x27;processor&#x27;: &#x27;Sentinel-2 IPF&#x27;, &#x27;type&#x27;: &#x27;Level-1C Product&#x27;, &#x27;version&#x27;: &#x27;???&#x27;}]</dd><dt><span>horizontal_CRS_code :</span></dt><dd>EPSG:32625</dd><dt><span>horizontal_CRS_name :</span></dt><dd>WGS84 / UTM zone 25N</dd><dt><span>mean_sensing_time :</span></dt><dd>2025-04-15T14:32:15.958111Z</dd><dt><span>mean_sun_azimuth_angle_in_deg_for_all_bands_all_detectors :</span></dt><dd>187.441465289186</dd><dt><span>mean_sun_zenith_angle_in_deg_for_all_bands_all_detectors :</span></dt><dd>61.7422786341979</dd><dt><span>meteo :</span></dt><dd>{&#x27;source&#x27;: &#x27;ECMWF&#x27;, &#x27;type&#x27;: &#x27;FORECAST&#x27;}</dd><dt><span>multispectral_registration_assessment :</span></dt><dd>null</dd><dt><span>onboard_compression_flag :</span></dt><dd>true</dd><dt><span>onboard_equalization_flag :</span></dt><dd>null</dd><dt><span>optical_crosstalk_correction_flag :</span></dt><dd>null</dd><dt><span>percentage_of_degraded_MSI_data :</span></dt><dd>0.0</dd><dt><span>planimetric_stability_assessment_from_AOCS :</span></dt><dd>null</dd><dt><span>product_quality_status :</span></dt><dd>PASSED</dd><dt><span>reflectance_correction_factor_from_the_Sun-Earth_distance_variation_computed_using_the_acquisition_date :</span></dt><dd>0.995898443385998</dd><dt><span>spectral_band_of_reference :</span></dt><dd>null</dd></dl></div></li></ul></div></div>"
       ],
       "text/plain": [
        "<xarray.Dataset> Size: 13GB\n",
-       "Dimensions:  (x: 10980, y: 10980)\n",
+       "Dimensions:      (x: 10980, y: 10980)\n",
        "Coordinates:\n",
-       "  * x        (x) int64 88kB 300005 300015 300025 300035 ... 409775 409785 409795\n",
-       "  * y        (y) int64 88kB 5000035 5000025 5000015 ... 4890265 4890255 4890245\n",
+       "  * x            (x) int64 88kB 499985 499995 500005 ... 609755 609765 609775\n",
+       "  * y            (y) int64 88kB 8000035 8000025 8000015 ... 7890255 7890245\n",
+       "    spatial_ref  int64 8B ...\n",
        "Data variables: (12/13)\n",
-       "    b01      (y, x) float64 964MB dask.array<chunksize=(1830, 1830), meta=np.ndarray>\n",
-       "    b02      (y, x) float64 964MB dask.array<chunksize=(1830, 1830), meta=np.ndarray>\n",
-       "    b03      (y, x) float64 964MB dask.array<chunksize=(1830, 1830), meta=np.ndarray>\n",
-       "    b04      (y, x) float64 964MB dask.array<chunksize=(1830, 1830), meta=np.ndarray>\n",
-       "    b05      (y, x) float64 964MB dask.array<chunksize=(1830, 1830), meta=np.ndarray>\n",
-       "    b06      (y, x) float64 964MB dask.array<chunksize=(1830, 1830), meta=np.ndarray>\n",
-       "    ...       ...\n",
-       "    b08      (y, x) float64 964MB dask.array<chunksize=(1830, 1830), meta=np.ndarray>\n",
-       "    b09      (y, x) float64 964MB dask.array<chunksize=(1830, 1830), meta=np.ndarray>\n",
-       "    b10      (y, x) float64 964MB dask.array<chunksize=(1830, 1830), meta=np.ndarray>\n",
-       "    b11      (y, x) float64 964MB dask.array<chunksize=(1830, 1830), meta=np.ndarray>\n",
-       "    b12      (y, x) float64 964MB dask.array<chunksize=(1830, 1830), meta=np.ndarray>\n",
-       "    b8a      (y, x) float64 964MB dask.array<chunksize=(1830, 1830), meta=np.ndarray>"
+       "    b01          (y, x) float64 964MB dask.array<chunksize=(1830, 1830), meta=np.ndarray>\n",
+       "    b02          (y, x) float64 964MB dask.array<chunksize=(1830, 1830), meta=np.ndarray>\n",
+       "    b03          (y, x) float64 964MB dask.array<chunksize=(1830, 1830), meta=np.ndarray>\n",
+       "    b04          (y, x) float64 964MB dask.array<chunksize=(1830, 1830), meta=np.ndarray>\n",
+       "    b05          (y, x) float64 964MB dask.array<chunksize=(1830, 1830), meta=np.ndarray>\n",
+       "    b06          (y, x) float64 964MB dask.array<chunksize=(1830, 1830), meta=np.ndarray>\n",
+       "    ...           ...\n",
+       "    b08          (y, x) float64 964MB dask.array<chunksize=(1830, 1830), meta=np.ndarray>\n",
+       "    b09          (y, x) float64 964MB dask.array<chunksize=(1830, 1830), meta=np.ndarray>\n",
+       "    b10          (y, x) float64 964MB dask.array<chunksize=(1830, 1830), meta=np.ndarray>\n",
+       "    b11          (y, x) float64 964MB dask.array<chunksize=(1830, 1830), meta=np.ndarray>\n",
+       "    b12          (y, x) float64 964MB dask.array<chunksize=(1830, 1830), meta=np.ndarray>\n",
+       "    b8a          (y, x) float64 964MB dask.array<chunksize=(1830, 1830), meta=np.ndarray>\n",
+       "Attributes: (12/26)\n",
+       "    L0_ancillary_data_quality:                                               ...\n",
+       "    L0_ephemeris_data_quality:                                               ...\n",
+       "    NUC_table_ID:                                                            ...\n",
+       "    SWIR_rearrangement_flag:                                                 ...\n",
+       "    UTM_zone_identification:                                                 ...\n",
+       "    absolute_location_assessment_from_AOCS:                                  ...\n",
+       "    ...                                                                                                       ...\n",
+       "    optical_crosstalk_correction_flag:                                       ...\n",
+       "    percentage_of_degraded_MSI_data:                                         ...\n",
+       "    planimetric_stability_assessment_from_AOCS:                              ...\n",
+       "    product_quality_status:                                                  ...\n",
+       "    reflectance_correction_factor_from_the_Sun-Earth_distance_variation_compu...\n",
+       "    spectral_band_of_reference:                                              ..."
       ]
      },
-     "execution_count": 3,
+     "execution_count": 10,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "ds = xr.open_dataset(path, engine=\"eopf-zarr\", op_mode=\"analysis\", chunks={})\n",
+    "ds = xr.open_dataset(url, engine=\"eopf-zarr\", op_mode=\"analysis\", chunks={})\n",
     "ds"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 11,
    "id": "6fc2e764-d30c-44db-9293-1d2aa6c680c7",
    "metadata": {},
    "outputs": [
@@ -4314,21 +4316,23 @@
        "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;b02&#x27; (y: 10980, x: 10980)&gt; Size: 964MB\n",
        "dask.array&lt;open_dataset-b02, shape=(10980, 10980), dtype=float64, chunksize=(1830, 1830), chunktype=numpy.ndarray&gt;\n",
        "Coordinates:\n",
-       "  * x        (x) int64 88kB 300005 300015 300025 300035 ... 409775 409785 409795\n",
-       "  * y        (y) int64 88kB 5000035 5000025 5000015 ... 4890265 4890255 4890245\n",
-       "Attributes:\n",
+       "  * x            (x) int64 88kB 499985 499995 500005 ... 609755 609765 609775\n",
+       "  * y            (y) int64 88kB 8000035 8000025 8000015 ... 7890255 7890245\n",
+       "    spatial_ref  int64 8B ...\n",
+       "Attributes: (12/13)\n",
        "    _eopf_attrs:     {&#x27;add_offset&#x27;: -0.1, &#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensi...\n",
        "    dtype:           &lt;u2\n",
        "    fill_value:      0\n",
        "    long_name:       TOA reflectance from MSI acquisition at spectral band b0...\n",
-       "    proj:bbox:       [300000.0, 4890240.0, 409800.0, 5000040.0]\n",
-       "    proj:epsg:       32632\n",
-       "    proj:shape:      [10980, 10980]\n",
-       "    proj:transform:  [10.0, 0.0, 300000.0, 0.0, -10.0, 5000040.0, 0.0, 0.0, 1.0]\n",
-       "    proj:wkt2:       PROJCS[&quot;WGS 84 / UTM zone 32N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WG...\n",
+       "    proj:bbox:       [499980.0, 7890240.0, 609780.0, 8000040.0]\n",
+       "    proj:epsg:       32625\n",
+       "    ...              ...\n",
+       "    proj:transform:  [10.0, 0.0, 499980.0, 0.0, -10.0, 8000040.0, 0.0, 0.0, 1.0]\n",
+       "    proj:wkt2:       PROJCS[&quot;WGS 84 / UTM zone 25N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WG...\n",
        "    units:           digital_counts\n",
        "    valid_max:       65535\n",
-       "    valid_min:       1</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'b02'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>y</span>: 10980</li><li><span class='xr-has-index'>x</span>: 10980</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-950e6773-bb35-42b5-83e4-a07293ed7342' class='xr-array-in' type='checkbox' checked><label for='section-950e6773-bb35-42b5-83e4-a07293ed7342' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>dask.array&lt;chunksize=(1830, 1830), meta=np.ndarray&gt;</span></div><div class='xr-array-data'><table>\n",
+       "    valid_min:       1\n",
+       "    grid_mapping:    spatial_ref</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'b02'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>y</span>: 10980</li><li><span class='xr-has-index'>x</span>: 10980</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-51c09290-dac5-479f-89f3-7b8c1f921d40' class='xr-array-in' type='checkbox' checked><label for='section-51c09290-dac5-479f-89f3-7b8c1f921d40' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>dask.array&lt;chunksize=(1830, 1830), meta=np.ndarray&gt;</span></div><div class='xr-array-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -4393,41 +4397,43 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></div></li><li class='xr-section-item'><input id='section-5d24d4d4-c8b8-478d-9dbd-b99ccce92e79' class='xr-section-summary-in' type='checkbox'  checked><label for='section-5d24d4d4-c8b8-478d-9dbd-b99ccce92e79' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>300005 300015 ... 409785 409795</div><input id='attrs-b4a7746f-3de2-46ed-b198-ec9f5249221d' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-b4a7746f-3de2-46ed-b198-ec9f5249221d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f0e8cbf3-6a6c-4c03-9fa4-00844ba3ac28' class='xr-var-data-in' type='checkbox'><label for='data-f0e8cbf3-6a6c-4c03-9fa4-00844ba3ac28' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([300005, 300015, 300025, ..., 409775, 409785, 409795], shape=(10980,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>5000035 5000025 ... 4890255 4890245</div><input id='attrs-908b4bec-69e0-4b28-9c0c-49e7f24c2471' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-908b4bec-69e0-4b28-9c0c-49e7f24c2471' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-409c3986-8b97-4231-918f-e2a81672dc73' class='xr-var-data-in' type='checkbox'><label for='data-409c3986-8b97-4231-918f-e2a81672dc73' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([5000035, 5000025, 5000015, ..., 4890265, 4890255, 4890245],\n",
-       "      shape=(10980,))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-d2e6ecf0-5ddc-40fa-abd0-d21c101c490a' class='xr-section-summary-in' type='checkbox'  ><label for='section-d2e6ecf0-5ddc-40fa-abd0-d21c101c490a' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>x</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-24a1ec81-069c-4436-87e9-5d09856d955d' class='xr-index-data-in' type='checkbox'/><label for='index-24a1ec81-069c-4436-87e9-5d09856d955d' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([300005, 300015, 300025, 300035, 300045, 300055, 300065, 300075, 300085,\n",
-       "       300095,\n",
+       "</table></div></div></li><li class='xr-section-item'><input id='section-70b25c1d-1ca0-4276-aa92-4183a0ffa5d5' class='xr-section-summary-in' type='checkbox'  checked><label for='section-70b25c1d-1ca0-4276-aa92-4183a0ffa5d5' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>499985 499995 ... 609765 609775</div><input id='attrs-17b67f23-9e5a-4fe5-bd2c-85a9dacb5996' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-17b67f23-9e5a-4fe5-bd2c-85a9dacb5996' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1b1a757e-51ea-4668-b1a5-fc88f9ecd917' class='xr-var-data-in' type='checkbox'><label for='data-1b1a757e-51ea-4668-b1a5-fc88f9ecd917' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([499985, 499995, 500005, ..., 609755, 609765, 609775], shape=(10980,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>8000035 8000025 ... 7890255 7890245</div><input id='attrs-2088f611-1909-456a-928f-076a4c03108f' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-2088f611-1909-456a-928f-076a4c03108f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ea1b453c-acb1-4749-a599-796fa0684c9e' class='xr-var-data-in' type='checkbox'><label for='data-ea1b453c-acb1-4749-a599-796fa0684c9e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([8000035, 8000025, 8000015, ..., 7890265, 7890255, 7890245],\n",
+       "      shape=(10980,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>spatial_ref</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-ef45a286-4357-4b57-8904-f41cfa46b4a8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ef45a286-4357-4b57-8904-f41cfa46b4a8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d42c0831-896f-4642-b575-868634016524' class='xr-var-data-in' type='checkbox'><label for='data-d42c0831-896f-4642-b575-868634016524' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>crs_wkt :</span></dt><dd>PROJCRS[&quot;WGS 84 / UTM zone 25N&quot;,BASEGEOGCRS[&quot;WGS 84&quot;,ENSEMBLE[&quot;World Geodetic System 1984 ensemble&quot;,MEMBER[&quot;World Geodetic System 1984 (Transit)&quot;],MEMBER[&quot;World Geodetic System 1984 (G730)&quot;],MEMBER[&quot;World Geodetic System 1984 (G873)&quot;],MEMBER[&quot;World Geodetic System 1984 (G1150)&quot;],MEMBER[&quot;World Geodetic System 1984 (G1674)&quot;],MEMBER[&quot;World Geodetic System 1984 (G1762)&quot;],MEMBER[&quot;World Geodetic System 1984 (G2139)&quot;],MEMBER[&quot;World Geodetic System 1984 (G2296)&quot;],ELLIPSOID[&quot;WGS 84&quot;,6378137,298.257223563,LENGTHUNIT[&quot;metre&quot;,1]],ENSEMBLEACCURACY[2.0]],PRIMEM[&quot;Greenwich&quot;,0,ANGLEUNIT[&quot;degree&quot;,0.0174532925199433]],ID[&quot;EPSG&quot;,4326]],CONVERSION[&quot;UTM zone 25N&quot;,METHOD[&quot;Transverse Mercator&quot;,ID[&quot;EPSG&quot;,9807]],PARAMETER[&quot;Latitude of natural origin&quot;,0,ANGLEUNIT[&quot;degree&quot;,0.0174532925199433],ID[&quot;EPSG&quot;,8801]],PARAMETER[&quot;Longitude of natural origin&quot;,-33,ANGLEUNIT[&quot;degree&quot;,0.0174532925199433],ID[&quot;EPSG&quot;,8802]],PARAMETER[&quot;Scale factor at natural origin&quot;,0.9996,SCALEUNIT[&quot;unity&quot;,1],ID[&quot;EPSG&quot;,8805]],PARAMETER[&quot;False easting&quot;,500000,LENGTHUNIT[&quot;metre&quot;,1],ID[&quot;EPSG&quot;,8806]],PARAMETER[&quot;False northing&quot;,0,LENGTHUNIT[&quot;metre&quot;,1],ID[&quot;EPSG&quot;,8807]]],CS[Cartesian,2],AXIS[&quot;(E)&quot;,east,ORDER[1],LENGTHUNIT[&quot;metre&quot;,1]],AXIS[&quot;(N)&quot;,north,ORDER[2],LENGTHUNIT[&quot;metre&quot;,1]],USAGE[SCOPE[&quot;Navigation and medium accuracy spatial referencing.&quot;],AREA[&quot;Between 36°W and 30°W, northern hemisphere between equator and 84°N, onshore and offshore. Greenland.&quot;],BBOX[0,-36,84,-30]],ID[&quot;EPSG&quot;,32625]]</dd><dt><span>semi_major_axis :</span></dt><dd>6378137.0</dd><dt><span>semi_minor_axis :</span></dt><dd>6356752.314245179</dd><dt><span>inverse_flattening :</span></dt><dd>298.257223563</dd><dt><span>reference_ellipsoid_name :</span></dt><dd>WGS 84</dd><dt><span>longitude_of_prime_meridian :</span></dt><dd>0.0</dd><dt><span>prime_meridian_name :</span></dt><dd>Greenwich</dd><dt><span>geographic_crs_name :</span></dt><dd>WGS 84</dd><dt><span>horizontal_datum_name :</span></dt><dd>World Geodetic System 1984 ensemble</dd><dt><span>projected_crs_name :</span></dt><dd>WGS 84 / UTM zone 25N</dd><dt><span>grid_mapping_name :</span></dt><dd>transverse_mercator</dd><dt><span>latitude_of_projection_origin :</span></dt><dd>0.0</dd><dt><span>longitude_of_central_meridian :</span></dt><dd>-33.0</dd><dt><span>false_easting :</span></dt><dd>500000.0</dd><dt><span>false_northing :</span></dt><dd>0.0</dd><dt><span>scale_factor_at_central_meridian :</span></dt><dd>0.9996</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=int64]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-d4bee556-7175-4f6d-96bf-e659e04a71a0' class='xr-section-summary-in' type='checkbox'  ><label for='section-d4bee556-7175-4f6d-96bf-e659e04a71a0' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>x</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-46515e18-bfd7-4f1f-a1c3-666b43b70c01' class='xr-index-data-in' type='checkbox'/><label for='index-46515e18-bfd7-4f1f-a1c3-666b43b70c01' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([499985, 499995, 500005, 500015, 500025, 500035, 500045, 500055, 500065,\n",
+       "       500075,\n",
        "       ...\n",
-       "       409705, 409715, 409725, 409735, 409745, 409755, 409765, 409775, 409785,\n",
-       "       409795],\n",
-       "      dtype=&#x27;int64&#x27;, name=&#x27;x&#x27;, length=10980))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>y</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-11627bec-7f10-44a3-bca1-404c09f710bd' class='xr-index-data-in' type='checkbox'/><label for='index-11627bec-7f10-44a3-bca1-404c09f710bd' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([5000035, 5000025, 5000015, 5000005, 4999995, 4999985, 4999975, 4999965,\n",
-       "       4999955, 4999945,\n",
+       "       609685, 609695, 609705, 609715, 609725, 609735, 609745, 609755, 609765,\n",
+       "       609775],\n",
+       "      dtype=&#x27;int64&#x27;, name=&#x27;x&#x27;, length=10980))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>y</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-c8a8005b-2348-4c89-bfc1-f3ecb25a92d0' class='xr-index-data-in' type='checkbox'/><label for='index-c8a8005b-2348-4c89-bfc1-f3ecb25a92d0' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([8000035, 8000025, 8000015, 8000005, 7999995, 7999985, 7999975, 7999965,\n",
+       "       7999955, 7999945,\n",
        "       ...\n",
-       "       4890335, 4890325, 4890315, 4890305, 4890295, 4890285, 4890275, 4890265,\n",
-       "       4890255, 4890245],\n",
-       "      dtype=&#x27;int64&#x27;, name=&#x27;y&#x27;, length=10980))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-e25aff81-2e5d-49d2-b0a7-d35c2ac92075' class='xr-section-summary-in' type='checkbox'  ><label for='section-e25aff81-2e5d-49d2-b0a7-d35c2ac92075' class='xr-section-summary' >Attributes: <span>(12)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;add_offset&#x27;: -0.1, &#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;fill_value&#x27;: 0, &#x27;scale_factor&#x27;: 0.0001, &#x27;units&#x27;: &#x27;digital_counts&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u2</dd><dt><span>fill_value :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>TOA reflectance from MSI acquisition at spectral band b02 492.3 nm</dd><dt><span>proj:bbox :</span></dt><dd>[300000.0, 4890240.0, 409800.0, 5000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32632</dd><dt><span>proj:shape :</span></dt><dd>[10980, 10980]</dd><dt><span>proj:transform :</span></dt><dd>[10.0, 0.0, 300000.0, 0.0, -10.0, 5000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 32N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,9],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32632&quot;]]</dd><dt><span>units :</span></dt><dd>digital_counts</dd><dt><span>valid_max :</span></dt><dd>65535</dd><dt><span>valid_min :</span></dt><dd>1</dd></dl></div></li></ul></div></div>"
+       "       7890335, 7890325, 7890315, 7890305, 7890295, 7890285, 7890275, 7890265,\n",
+       "       7890255, 7890245],\n",
+       "      dtype=&#x27;int64&#x27;, name=&#x27;y&#x27;, length=10980))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-e8cae8c8-fade-4325-a0c6-f7f19497116e' class='xr-section-summary-in' type='checkbox'  ><label for='section-e8cae8c8-fade-4325-a0c6-f7f19497116e' class='xr-section-summary' >Attributes: <span>(13)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;add_offset&#x27;: -0.1, &#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;dtype&#x27;: &#x27;&lt;u2&#x27;, &#x27;fill_value&#x27;: 0, &#x27;long_name&#x27;: &#x27;TOA reflectance from MSI acquisition at spectral band b02 492.3 nm&#x27;, &#x27;scale_factor&#x27;: 0.0001, &#x27;units&#x27;: &#x27;digital_counts&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u2</dd><dt><span>fill_value :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>TOA reflectance from MSI acquisition at spectral band b02 492.3 nm</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 7890240.0, 609780.0, 8000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32625</dd><dt><span>proj:shape :</span></dt><dd>[10980, 10980]</dd><dt><span>proj:transform :</span></dt><dd>[10.0, 0.0, 499980.0, 0.0, -10.0, 8000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 25N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,-33],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32625&quot;]]</dd><dt><span>units :</span></dt><dd>digital_counts</dd><dt><span>valid_max :</span></dt><dd>65535</dd><dt><span>valid_min :</span></dt><dd>1</dd><dt><span>grid_mapping :</span></dt><dd>spatial_ref</dd></dl></div></li></ul></div></div>"
       ],
       "text/plain": [
        "<xarray.DataArray 'b02' (y: 10980, x: 10980)> Size: 964MB\n",
        "dask.array<open_dataset-b02, shape=(10980, 10980), dtype=float64, chunksize=(1830, 1830), chunktype=numpy.ndarray>\n",
        "Coordinates:\n",
-       "  * x        (x) int64 88kB 300005 300015 300025 300035 ... 409775 409785 409795\n",
-       "  * y        (y) int64 88kB 5000035 5000025 5000015 ... 4890265 4890255 4890245\n",
-       "Attributes:\n",
+       "  * x            (x) int64 88kB 499985 499995 500005 ... 609755 609765 609775\n",
+       "  * y            (y) int64 88kB 8000035 8000025 8000015 ... 7890255 7890245\n",
+       "    spatial_ref  int64 8B ...\n",
+       "Attributes: (12/13)\n",
        "    _eopf_attrs:     {'add_offset': -0.1, 'coordinates': ['x', 'y'], 'dimensi...\n",
        "    dtype:           <u2\n",
        "    fill_value:      0\n",
        "    long_name:       TOA reflectance from MSI acquisition at spectral band b0...\n",
-       "    proj:bbox:       [300000.0, 4890240.0, 409800.0, 5000040.0]\n",
-       "    proj:epsg:       32632\n",
-       "    proj:shape:      [10980, 10980]\n",
-       "    proj:transform:  [10.0, 0.0, 300000.0, 0.0, -10.0, 5000040.0, 0.0, 0.0, 1.0]\n",
-       "    proj:wkt2:       PROJCS[\"WGS 84 / UTM zone 32N\",GEOGCS[\"WGS 84\",DATUM[\"WG...\n",
+       "    proj:bbox:       [499980.0, 7890240.0, 609780.0, 8000040.0]\n",
+       "    proj:epsg:       32625\n",
+       "    ...              ...\n",
+       "    proj:transform:  [10.0, 0.0, 499980.0, 0.0, -10.0, 8000040.0, 0.0, 0.0, 1.0]\n",
+       "    proj:wkt2:       PROJCS[\"WGS 84 / UTM zone 25N\",GEOGCS[\"WGS 84\",DATUM[\"WG...\n",
        "    units:           digital_counts\n",
        "    valid_max:       65535\n",
-       "    valid_min:       1"
+       "    valid_min:       1\n",
+       "    grid_mapping:    spatial_ref"
       ]
      },
-     "execution_count": 4,
+     "execution_count": 11,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -4438,23 +4444,23 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 12,
    "id": "111ace7a-6bbc-47d3-a96b-10c3c2dfab53",
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "<matplotlib.collections.QuadMesh at 0x24f87f48830>"
+       "<matplotlib.collections.QuadMesh at 0x1c71e831a90>"
       ]
      },
-     "execution_count": 6,
+     "execution_count": 12,
      "metadata": {},
      "output_type": "execute_result"
     },
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 640x480 with 2 Axes>"
       ]
@@ -4464,8 +4470,16 @@
     }
    ],
    "source": [
-    "ds.b02.plot(vmin=0., vmax=0.3)"
+    "ds.b02.plot(vmin=0.5, vmax=1.0)"
    ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "16a4dec3-2eb0-4f92-9813-2c6486eb5789",
+   "metadata": {},
+   "outputs": [],
+   "source": []
   }
  ],
  "metadata": {
@@ -4484,7 +4498,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.12.9"
+   "version": "3.13.2"
   }
  },
  "nbformat": 4,
diff --git a/examples/open-sen2-native.ipynb b/examples/open-sen2-native.ipynb
index 74947e9..386f959 100644
--- a/examples/open-sen2-native.ipynb
+++ b/examples/open-sen2-native.ipynb
@@ -21,20 +21,20 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": 2,
    "id": "292b9d27-5b02-43c0-a9d8-3201f07f4157",
    "metadata": {},
    "outputs": [],
    "source": [
-    "path = (\n",
-    "    \"s3://e05ab01a9d56408d82ac32d69a5aae2a:sample-data/tutorial_data/\"\n",
-    "    \"cpm_v253/S2B_MSIL1C_20250113T103309_N0511_R108_T32TLQ_20250113T122458.zarr\"    \n",
+    "url = (\n",
+    "    \"https://objectstore.eodc.eu:2222/e05ab01a9d56408d82ac32d69a5aae2a:202504-s02msil1c/15/products/cpm_v256/\"\n",
+    "    \"S2B_MSIL1C_20250415T142749_N0511_R139_T25WEV_20250415T180239.zarr\"    \n",
     ")"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": 3,
    "id": "3002f97d-8cb2-49fd-b981-6718c47138a6",
    "metadata": {},
    "outputs": [
@@ -418,7 +418,7 @@
        "Attributes:\n",
        "    other_metadata:   {&#x27;L0_ancillary_data_quality&#x27;: &#x27;null&#x27;, &#x27;L0_ephemeris_dat...\n",
        "    other_metadata4:  {&#x27;L0_ancillary_data_quality&#x27;: &#x27;null&#x27;, &#x27;L0_ephemeris_dat...\n",
-       "    stac_discovery:   {&#x27;assets&#x27;: {&#x27;analytic&#x27;: {&#x27;eo:bands&#x27;: [{&#x27;center_waveleng...</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataTree</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-00d289bf-dbf4-4afc-be62-ca8efe8804cd' class='xr-section-summary-in' type='checkbox'  ><label for='section-00d289bf-dbf4-4afc-be62-ca8efe8804cd' class='xr-section-summary' >Groups: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><div style='display: inline-grid; grid-template-columns: 100%; grid-column: 1 / -1'><div style='display: inline-grid; grid-template-columns: 0px 20px auto; width: 100%;'><div style='grid-column-start: 1;border-right: 0.2em solid;border-color: var(--xr-border-color);height: 100%;width: 0px;'></div><div style='grid-column-start: 2;grid-row-start: 1;height: 1em;width: 20px;border-bottom: 0.2em solid;border-color: var(--xr-border-color);'></div><div style='grid-column-start: 3;'><div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
+       "    stac_discovery:   {&#x27;assets&#x27;: {&#x27;analytic&#x27;: {&#x27;eo:bands&#x27;: [{&#x27;center_waveleng...</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataTree</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-e899a609-e5a9-4b26-a1ad-1b703c6e1901' class='xr-section-summary-in' type='checkbox'  ><label for='section-e899a609-e5a9-4b26-a1ad-1b703c6e1901' class='xr-section-summary' >Groups: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><div style='display: inline-grid; grid-template-columns: 100%; grid-column: 1 / -1'><div style='display: inline-grid; grid-template-columns: 0px 20px auto; width: 100%;'><div style='grid-column-start: 1;border-right: 0.2em solid;border-color: var(--xr-border-color);height: 100%;width: 0px;'></div><div style='grid-column-start: 2;grid-row-start: 1;height: 1em;width: 20px;border-bottom: 0.2em solid;border-color: var(--xr-border-color);'></div><div style='grid-column-start: 3;'><div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
        "<defs>\n",
        "<symbol id=\"icon-database\" viewBox=\"0 0 32 32\">\n",
        "<path d=\"M16 0c-8.837 0-16 2.239-16 5v4c0 2.761 7.163 5 16 5s16-2.239 16-5v-4c0-2.761-7.163-5-16-5z\"></path>\n",
@@ -791,7 +791,7 @@
        "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DatasetView&gt; Size: 0B\n",
        "Dimensions:  ()\n",
        "Data variables:\n",
-       "    *empty*</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>conditions</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-88f937e2-70a8-4170-925f-1595dbe4ad4d' class='xr-section-summary-in' type='checkbox'  ><label for='section-88f937e2-70a8-4170-925f-1595dbe4ad4d' class='xr-section-summary' >Groups: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><div style='display: inline-grid; grid-template-columns: 100%; grid-column: 1 / -1'><div style='display: inline-grid; grid-template-columns: 0px 20px auto; width: 100%;'><div style='grid-column-start: 1;border-right: 0.2em solid;border-color: var(--xr-border-color);height: 100%;width: 0px;'></div><div style='grid-column-start: 2;grid-row-start: 1;height: 1em;width: 20px;border-bottom: 0.2em solid;border-color: var(--xr-border-color);'></div><div style='grid-column-start: 3;'><div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
+       "    *empty*</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>conditions</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-9f39f6a0-d163-4bda-84f5-682042d6bbfd' class='xr-section-summary-in' type='checkbox'  ><label for='section-9f39f6a0-d163-4bda-84f5-682042d6bbfd' class='xr-section-summary' >Groups: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><div style='display: inline-grid; grid-template-columns: 100%; grid-column: 1 / -1'><div style='display: inline-grid; grid-template-columns: 0px 20px auto; width: 100%;'><div style='grid-column-start: 1;border-right: 0.2em solid;border-color: var(--xr-border-color);height: 100%;width: 0px;'></div><div style='grid-column-start: 2;grid-row-start: 1;height: 1em;width: 20px;border-bottom: 0.2em solid;border-color: var(--xr-border-color);'></div><div style='grid-column-start: 3;'><div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
        "<defs>\n",
        "<symbol id=\"icon-database\" viewBox=\"0 0 32 32\">\n",
        "<path d=\"M16 0c-8.837 0-16 2.239-16 5v4c0 2.761 7.163 5 16 5s16-2.239 16-5v-4c0-2.761-7.163-5-16-5z\"></path>\n",
@@ -1168,18 +1168,18 @@
        "  * angle                          (angle) &lt;U7 56B &#x27;zenith&#x27; &#x27;azimuth&#x27;\n",
        "  * band                           (band) &lt;U3 156B &#x27;b01&#x27; &#x27;b02&#x27; ... &#x27;b11&#x27; &#x27;b12&#x27;\n",
        "  * detector                       (detector) int64 56B 6 7 8 9 10 11 12\n",
-       "  * x                              (x) int64 184B 300000 305000 ... 410000\n",
-       "  * y                              (y) int64 184B 5000040 4995040 ... 4890040\n",
+       "  * x                              (x) int64 184B 499980 504980 ... 609980\n",
+       "  * y                              (y) int64 184B 8000040 7995040 ... 7890040\n",
        "Data variables:\n",
        "    mean_sun_angles                (angle) float64 16B dask.array&lt;chunksize=(2,), meta=np.ndarray&gt;\n",
        "    mean_viewing_incidence_angles  (band, angle) float64 208B dask.array&lt;chunksize=(13, 2), meta=np.ndarray&gt;\n",
        "    sun_angles                     (angle, y, x) float64 8kB dask.array&lt;chunksize=(2, 23, 23), meta=np.ndarray&gt;\n",
-       "    viewing_incidence_angles       (band, detector, angle, y, x) float64 770kB dask.array&lt;chunksize=(7, 4, 2, 23, 23), meta=np.ndarray&gt;</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>geometry</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-6313cd22-c321-436a-8339-fd2fe0aa268e' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-6313cd22-c321-436a-8339-fd2fe0aa268e' class='xr-section-summary'  title='Expand/collapse section'>Groups: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><div style='display: inline-grid; grid-template-columns: 100%; grid-column: 1 / -1'></div></div></li><li class='xr-section-item'><input id='section-7bf277c4-ea26-443e-8e3e-94aea87fe595' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-7bf277c4-ea26-443e-8e3e-94aea87fe595' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>angle</span>: 2</li><li><span class='xr-has-index'>band</span>: 13</li><li><span class='xr-has-index'>y</span>: 23</li><li><span class='xr-has-index'>x</span>: 23</li><li><span class='xr-has-index'>detector</span>: 7</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-75973d89-9c4e-40e2-be66-c46472c9192c' class='xr-section-summary-in' type='checkbox'  checked><label for='section-75973d89-9c4e-40e2-be66-c46472c9192c' class='xr-section-summary' >Coordinates: <span>(5)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>angle</span></div><div class='xr-var-dims'>(angle)</div><div class='xr-var-dtype'>&lt;U7</div><div class='xr-var-preview xr-preview'>&#x27;zenith&#x27; &#x27;azimuth&#x27;</div><input id='attrs-3cdd7e92-88cb-4b52-870d-75a31113bbb0' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-3cdd7e92-88cb-4b52-870d-75a31113bbb0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9e3069ec-cd59-4d63-a854-75ad883dcd7b' class='xr-var-data-in' type='checkbox'><label for='data-9e3069ec-cd59-4d63-a854-75ad883dcd7b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;zenith&#x27;, &#x27;azimuth&#x27;], dtype=&#x27;&lt;U7&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>band</span></div><div class='xr-var-dims'>(band)</div><div class='xr-var-dtype'>&lt;U3</div><div class='xr-var-preview xr-preview'>&#x27;b01&#x27; &#x27;b02&#x27; &#x27;b03&#x27; ... &#x27;b11&#x27; &#x27;b12&#x27;</div><input id='attrs-280560d0-ba5c-43c1-8132-01912b3e3348' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-280560d0-ba5c-43c1-8132-01912b3e3348' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0e905a7b-ef7c-4c7c-bfed-91056b4f1de7' class='xr-var-data-in' type='checkbox'><label for='data-0e905a7b-ef7c-4c7c-bfed-91056b4f1de7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;b01&#x27;, &#x27;b02&#x27;, &#x27;b03&#x27;, &#x27;b04&#x27;, &#x27;b05&#x27;, &#x27;b06&#x27;, &#x27;b07&#x27;, &#x27;b08&#x27;, &#x27;b8a&#x27;, &#x27;b09&#x27;,\n",
-       "       &#x27;b10&#x27;, &#x27;b11&#x27;, &#x27;b12&#x27;], dtype=&#x27;&lt;U3&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>detector</span></div><div class='xr-var-dims'>(detector)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>6 7 8 9 10 11 12</div><input id='attrs-23114d94-4d31-447c-8065-8712eb23d42c' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-23114d94-4d31-447c-8065-8712eb23d42c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c278d1cf-6207-49a6-b8cc-f08cc6d3c28b' class='xr-var-data-in' type='checkbox'><label for='data-c278d1cf-6207-49a6-b8cc-f08cc6d3c28b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([ 6,  7,  8,  9, 10, 11, 12])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>300000 305000 ... 405000 410000</div><input id='attrs-216fae1e-1de0-4327-a7c4-5ebaf03a421e' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-216fae1e-1de0-4327-a7c4-5ebaf03a421e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0eac9f9d-2a34-4517-917e-1f8267006fb7' class='xr-var-data-in' type='checkbox'><label for='data-0eac9f9d-2a34-4517-917e-1f8267006fb7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([300000, 305000, 310000, 315000, 320000, 325000, 330000, 335000, 340000,\n",
-       "       345000, 350000, 355000, 360000, 365000, 370000, 375000, 380000, 385000,\n",
-       "       390000, 395000, 400000, 405000, 410000])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>5000040 4995040 ... 4895040 4890040</div><input id='attrs-79c56933-a1cc-4aea-b8c3-e98130422d18' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-79c56933-a1cc-4aea-b8c3-e98130422d18' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f629a4ea-f8bb-44ae-b899-c0200b4fbea7' class='xr-var-data-in' type='checkbox'><label for='data-f629a4ea-f8bb-44ae-b899-c0200b4fbea7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([5000040, 4995040, 4990040, 4985040, 4980040, 4975040, 4970040, 4965040,\n",
-       "       4960040, 4955040, 4950040, 4945040, 4940040, 4935040, 4930040, 4925040,\n",
-       "       4920040, 4915040, 4910040, 4905040, 4900040, 4895040, 4890040])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-9dc50844-6d77-40ca-a977-988d0dc0e9b1' class='xr-section-summary-in' type='checkbox'  checked><label for='section-9dc50844-6d77-40ca-a977-988d0dc0e9b1' class='xr-section-summary' >Data variables: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>mean_sun_angles</span></div><div class='xr-var-dims'>(angle)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(2,), meta=np.ndarray&gt;</div><input id='attrs-91f94bfd-cd95-4feb-b477-60afa21d0592' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-91f94bfd-cd95-4feb-b477-60afa21d0592' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e85c59a7-f503-4a99-af35-7cfe56821c59' class='xr-var-data-in' type='checkbox'><label for='data-e85c59a7-f503-4a99-af35-7cfe56821c59' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;angle&#x27;], &#x27;dimensions&#x27;: [&#x27;angle&#x27;]}</dd><dt><span>unit :</span></dt><dd>deg</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    viewing_incidence_angles       (band, detector, angle, y, x) float64 770kB dask.array&lt;chunksize=(7, 4, 2, 23, 23), meta=np.ndarray&gt;</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>geometry</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-5fe2286b-6a1d-4dc2-8b95-090cd6e35012' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-5fe2286b-6a1d-4dc2-8b95-090cd6e35012' class='xr-section-summary'  title='Expand/collapse section'>Groups: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><div style='display: inline-grid; grid-template-columns: 100%; grid-column: 1 / -1'></div></div></li><li class='xr-section-item'><input id='section-57f2881a-9c51-48db-9f93-3702d9df1eb8' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-57f2881a-9c51-48db-9f93-3702d9df1eb8' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>angle</span>: 2</li><li><span class='xr-has-index'>band</span>: 13</li><li><span class='xr-has-index'>y</span>: 23</li><li><span class='xr-has-index'>x</span>: 23</li><li><span class='xr-has-index'>detector</span>: 7</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-d477017a-5c4f-4119-acca-0f766e0bc5ea' class='xr-section-summary-in' type='checkbox'  checked><label for='section-d477017a-5c4f-4119-acca-0f766e0bc5ea' class='xr-section-summary' >Coordinates: <span>(5)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>angle</span></div><div class='xr-var-dims'>(angle)</div><div class='xr-var-dtype'>&lt;U7</div><div class='xr-var-preview xr-preview'>&#x27;zenith&#x27; &#x27;azimuth&#x27;</div><input id='attrs-20a5d93f-693d-4f5d-8bab-9a3b89c72034' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-20a5d93f-693d-4f5d-8bab-9a3b89c72034' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-71c59882-8043-40f3-aa88-782d1f2fed84' class='xr-var-data-in' type='checkbox'><label for='data-71c59882-8043-40f3-aa88-782d1f2fed84' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;zenith&#x27;, &#x27;azimuth&#x27;], dtype=&#x27;&lt;U7&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>band</span></div><div class='xr-var-dims'>(band)</div><div class='xr-var-dtype'>&lt;U3</div><div class='xr-var-preview xr-preview'>&#x27;b01&#x27; &#x27;b02&#x27; &#x27;b03&#x27; ... &#x27;b11&#x27; &#x27;b12&#x27;</div><input id='attrs-def6a263-e87b-4bc7-8276-a38e0609998b' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-def6a263-e87b-4bc7-8276-a38e0609998b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-86041f9a-8b40-4b22-a898-dedd85faa27e' class='xr-var-data-in' type='checkbox'><label for='data-86041f9a-8b40-4b22-a898-dedd85faa27e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;b01&#x27;, &#x27;b02&#x27;, &#x27;b03&#x27;, &#x27;b04&#x27;, &#x27;b05&#x27;, &#x27;b06&#x27;, &#x27;b07&#x27;, &#x27;b08&#x27;, &#x27;b8a&#x27;, &#x27;b09&#x27;,\n",
+       "       &#x27;b10&#x27;, &#x27;b11&#x27;, &#x27;b12&#x27;], dtype=&#x27;&lt;U3&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>detector</span></div><div class='xr-var-dims'>(detector)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>6 7 8 9 10 11 12</div><input id='attrs-bc8f0cd0-d681-48d8-8b6c-58ce8d78b830' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-bc8f0cd0-d681-48d8-8b6c-58ce8d78b830' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-007ceafa-b13a-4d7d-ae6d-9f4d4c71fe7f' class='xr-var-data-in' type='checkbox'><label for='data-007ceafa-b13a-4d7d-ae6d-9f4d4c71fe7f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([ 6,  7,  8,  9, 10, 11, 12])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>499980 504980 ... 604980 609980</div><input id='attrs-9d9c6dc3-afed-4521-9759-9c9d11c7e6d9' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-9d9c6dc3-afed-4521-9759-9c9d11c7e6d9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-593b5cc0-9934-4c82-8b4b-9d366ffb489a' class='xr-var-data-in' type='checkbox'><label for='data-593b5cc0-9934-4c82-8b4b-9d366ffb489a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([499980, 504980, 509980, 514980, 519980, 524980, 529980, 534980, 539980,\n",
+       "       544980, 549980, 554980, 559980, 564980, 569980, 574980, 579980, 584980,\n",
+       "       589980, 594980, 599980, 604980, 609980])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>8000040 7995040 ... 7895040 7890040</div><input id='attrs-1749b8e2-a7fb-40f7-a3cd-d9ea66a090f4' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-1749b8e2-a7fb-40f7-a3cd-d9ea66a090f4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6d03cc57-0833-435e-b212-f27b1564322a' class='xr-var-data-in' type='checkbox'><label for='data-6d03cc57-0833-435e-b212-f27b1564322a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([8000040, 7995040, 7990040, 7985040, 7980040, 7975040, 7970040, 7965040,\n",
+       "       7960040, 7955040, 7950040, 7945040, 7940040, 7935040, 7930040, 7925040,\n",
+       "       7920040, 7915040, 7910040, 7905040, 7900040, 7895040, 7890040])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-c9ca6b48-017d-405e-8c8d-d7d4d7306c9f' class='xr-section-summary-in' type='checkbox'  checked><label for='section-c9ca6b48-017d-405e-8c8d-d7d4d7306c9f' class='xr-section-summary' >Data variables: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>mean_sun_angles</span></div><div class='xr-var-dims'>(angle)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(2,), meta=np.ndarray&gt;</div><input id='attrs-0c38e31c-b42a-4cc6-8846-21da28db1ac7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0c38e31c-b42a-4cc6-8846-21da28db1ac7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6950c757-252e-4171-9d3a-0c47219c157c' class='xr-var-data-in' type='checkbox'><label for='data-6950c757-252e-4171-9d3a-0c47219c157c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;angle&#x27;], &#x27;dimensions&#x27;: [&#x27;angle&#x27;]}</dd><dt><span>unit :</span></dt><dd>deg</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -1234,7 +1234,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mean_viewing_incidence_angles</span></div><div class='xr-var-dims'>(band, angle)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(13, 2), meta=np.ndarray&gt;</div><input id='attrs-26b195aa-4167-4a24-8508-df83645c79b8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-26b195aa-4167-4a24-8508-df83645c79b8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-76e92f72-ef97-4a9c-bfa0-fe6adedf6bc2' class='xr-var-data-in' type='checkbox'><label for='data-76e92f72-ef97-4a9c-bfa0-fe6adedf6bc2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;angle&#x27;, &#x27;band&#x27;], &#x27;dimensions&#x27;: [&#x27;band&#x27;, &#x27;angle&#x27;]}</dd><dt><span>unit :</span></dt><dd>deg</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mean_viewing_incidence_angles</span></div><div class='xr-var-dims'>(band, angle)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(13, 2), meta=np.ndarray&gt;</div><input id='attrs-18ae503c-b8b7-4386-b507-bb51cc449c19' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-18ae503c-b8b7-4386-b507-bb51cc449c19' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a3537932-bbc6-49a1-bf49-50e80ebe49d2' class='xr-var-data-in' type='checkbox'><label for='data-a3537932-bbc6-49a1-bf49-50e80ebe49d2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;angle&#x27;, &#x27;band&#x27;], &#x27;dimensions&#x27;: [&#x27;band&#x27;, &#x27;angle&#x27;]}</dd><dt><span>unit :</span></dt><dd>deg</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -1289,7 +1289,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sun_angles</span></div><div class='xr-var-dims'>(angle, y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(2, 23, 23), meta=np.ndarray&gt;</div><input id='attrs-1faa89da-0f42-472b-ade0-7779d921f441' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1faa89da-0f42-472b-ade0-7779d921f441' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2dbcee1a-c63f-4022-aa40-dfac7d669446' class='xr-var-data-in' type='checkbox'><label for='data-2dbcee1a-c63f-4022-aa40-dfac7d669446' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;angle&#x27;, &#x27;y&#x27;, &#x27;x&#x27;], &#x27;dimensions&#x27;: [&#x27;angle&#x27;, &#x27;y&#x27;, &#x27;x&#x27;]}</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sun_angles</span></div><div class='xr-var-dims'>(angle, y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(2, 23, 23), meta=np.ndarray&gt;</div><input id='attrs-553a0e88-9e0e-4bbf-80d8-75dd4ed49f41' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-553a0e88-9e0e-4bbf-80d8-75dd4ed49f41' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-82c0e373-da5d-4622-92f2-aedc43fc6c2e' class='xr-var-data-in' type='checkbox'><label for='data-82c0e373-da5d-4622-92f2-aedc43fc6c2e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;angle&#x27;, &#x27;y&#x27;, &#x27;x&#x27;], &#x27;dimensions&#x27;: [&#x27;angle&#x27;, &#x27;y&#x27;, &#x27;x&#x27;]}</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -1367,7 +1367,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>viewing_incidence_angles</span></div><div class='xr-var-dims'>(band, detector, angle, y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(7, 4, 2, 23, 23), meta=np.ndarray&gt;</div><input id='attrs-85a95c85-2b07-4810-aa21-c53ea532b5b3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-85a95c85-2b07-4810-aa21-c53ea532b5b3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3958ca56-7eac-4eaa-a064-a7aba8d9371e' class='xr-var-data-in' type='checkbox'><label for='data-3958ca56-7eac-4eaa-a064-a7aba8d9371e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;angle&#x27;, &#x27;y&#x27;, &#x27;x&#x27;, &#x27;detector&#x27;, &#x27;band&#x27;], &#x27;dimensions&#x27;: [&#x27;band&#x27;, &#x27;detector&#x27;, &#x27;angle&#x27;, &#x27;y&#x27;, &#x27;x&#x27;]}</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>viewing_incidence_angles</span></div><div class='xr-var-dims'>(band, detector, angle, y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(7, 4, 2, 23, 23), meta=np.ndarray&gt;</div><input id='attrs-ba342838-6dea-4391-89a2-0385f23cae33' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ba342838-6dea-4391-89a2-0385f23cae33' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7c4c211c-8b8c-4714-8c7b-085c52342225' class='xr-var-data-in' type='checkbox'><label for='data-7c4c211c-8b8c-4714-8c7b-085c52342225' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;angle&#x27;, &#x27;y&#x27;, &#x27;x&#x27;, &#x27;detector&#x27;, &#x27;band&#x27;], &#x27;dimensions&#x27;: [&#x27;band&#x27;, &#x27;detector&#x27;, &#x27;angle&#x27;, &#x27;y&#x27;, &#x27;x&#x27;]}</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -1463,7 +1463,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-a431539d-03b4-4c87-94bd-b681726ffc02' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-a431539d-03b4-4c87-94bd-b681726ffc02' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div><div style='display: inline-grid; grid-template-columns: 0px 20px auto; width: 100%;'><div style='grid-column-start: 1;border-right: 0.2em solid;border-color: var(--xr-border-color);height: 100%;width: 0px;'></div><div style='grid-column-start: 2;grid-row-start: 1;height: 1em;width: 20px;border-bottom: 0.2em solid;border-color: var(--xr-border-color);'></div><div style='grid-column-start: 3;'><div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
+       "</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-f3d12591-b6ab-48fc-8b86-236a2047c3db' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-f3d12591-b6ab-48fc-8b86-236a2047c3db' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div><div style='display: inline-grid; grid-template-columns: 0px 20px auto; width: 100%;'><div style='grid-column-start: 1;border-right: 0.2em solid;border-color: var(--xr-border-color);height: 100%;width: 0px;'></div><div style='grid-column-start: 2;grid-row-start: 1;height: 1em;width: 20px;border-bottom: 0.2em solid;border-color: var(--xr-border-color);'></div><div style='grid-column-start: 3;'><div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
        "<defs>\n",
        "<symbol id=\"icon-database\" viewBox=\"0 0 32 32\">\n",
        "<path d=\"M16 0c-8.837 0-16 2.239-16 5v4c0 2.761 7.163 5 16 5s16-2.239 16-5v-4c0-2.761-7.163-5-16-5z\"></path>\n",
@@ -1836,7 +1836,7 @@
        "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DatasetView&gt; Size: 0B\n",
        "Dimensions:  ()\n",
        "Data variables:\n",
-       "    *empty*</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>mask</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-306d6e61-69d7-4f74-90c9-89bbba229a03' class='xr-section-summary-in' type='checkbox'  ><label for='section-306d6e61-69d7-4f74-90c9-89bbba229a03' class='xr-section-summary' >Groups: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><div style='display: inline-grid; grid-template-columns: 100%; grid-column: 1 / -1'><div style='display: inline-grid; grid-template-columns: 0px 20px auto; width: 100%;'><div style='grid-column-start: 1;border-right: 0.2em solid;border-color: var(--xr-border-color);height: 100%;width: 0px;'></div><div style='grid-column-start: 2;grid-row-start: 1;height: 1em;width: 20px;border-bottom: 0.2em solid;border-color: var(--xr-border-color);'></div><div style='grid-column-start: 3;'><div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
+       "    *empty*</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>mask</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-07590d35-ece4-4d98-8aff-9db5b242f17b' class='xr-section-summary-in' type='checkbox'  ><label for='section-07590d35-ece4-4d98-8aff-9db5b242f17b' class='xr-section-summary' >Groups: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><div style='display: inline-grid; grid-template-columns: 100%; grid-column: 1 / -1'><div style='display: inline-grid; grid-template-columns: 0px 20px auto; width: 100%;'><div style='grid-column-start: 1;border-right: 0.2em solid;border-color: var(--xr-border-color);height: 100%;width: 0px;'></div><div style='grid-column-start: 2;grid-row-start: 1;height: 1em;width: 20px;border-bottom: 0.2em solid;border-color: var(--xr-border-color);'></div><div style='grid-column-start: 3;'><div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
        "<defs>\n",
        "<symbol id=\"icon-database\" viewBox=\"0 0 32 32\">\n",
        "<path d=\"M16 0c-8.837 0-16 2.239-16 5v4c0 2.761 7.163 5 16 5s16-2.239 16-5v-4c0-2.761-7.163-5-16-5z\"></path>\n",
@@ -2209,7 +2209,7 @@
        "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DatasetView&gt; Size: 0B\n",
        "Dimensions:  ()\n",
        "Data variables:\n",
-       "    *empty*</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>detector_footprint</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-f566e5d7-fc93-4534-9bd1-6f7f97241607' class='xr-section-summary-in' type='checkbox'  ><label for='section-f566e5d7-fc93-4534-9bd1-6f7f97241607' class='xr-section-summary' >Groups: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><div style='display: inline-grid; grid-template-columns: 100%; grid-column: 1 / -1'><div style='display: inline-grid; grid-template-columns: 0px 20px auto; width: 100%;'><div style='grid-column-start: 1;border-right: 0.2em solid;border-color: var(--xr-border-color);height: 100%;width: 0px;'></div><div style='grid-column-start: 2;grid-row-start: 1;height: 1em;width: 20px;border-bottom: 0.2em solid;border-color: var(--xr-border-color);'></div><div style='grid-column-start: 3;'><div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
+       "    *empty*</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>detector_footprint</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-8a58fd0a-8775-460f-a2d6-f224220d4fa2' class='xr-section-summary-in' type='checkbox'  ><label for='section-8a58fd0a-8775-460f-a2d6-f224220d4fa2' class='xr-section-summary' >Groups: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><div style='display: inline-grid; grid-template-columns: 100%; grid-column: 1 / -1'><div style='display: inline-grid; grid-template-columns: 0px 20px auto; width: 100%;'><div style='grid-column-start: 1;border-right: 0.2em solid;border-color: var(--xr-border-color);height: 100%;width: 0px;'></div><div style='grid-column-start: 2;grid-row-start: 1;height: 1em;width: 20px;border-bottom: 0.2em solid;border-color: var(--xr-border-color);'></div><div style='grid-column-start: 3;'><div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
        "<defs>\n",
        "<symbol id=\"icon-database\" viewBox=\"0 0 32 32\">\n",
        "<path d=\"M16 0c-8.837 0-16 2.239-16 5v4c0 2.761 7.163 5 16 5s16-2.239 16-5v-4c0-2.761-7.163-5-16-5z\"></path>\n",
@@ -2582,14 +2582,14 @@
        "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DatasetView&gt; Size: 482MB\n",
        "Dimensions:  (y: 10980, x: 10980)\n",
        "Coordinates:\n",
-       "  * x        (x) int64 88kB 300005 300015 300025 300035 ... 409775 409785 409795\n",
-       "  * y        (y) int64 88kB 5000035 5000025 5000015 ... 4890265 4890255 4890245\n",
+       "  * x        (x) int64 88kB 499985 499995 500005 500015 ... 609755 609765 609775\n",
+       "  * y        (y) int64 88kB 8000035 8000025 8000015 ... 7890265 7890255 7890245\n",
        "Data variables:\n",
        "    b02      (y, x) uint8 121MB dask.array&lt;chunksize=(1830, 1830), meta=np.ndarray&gt;\n",
        "    b03      (y, x) uint8 121MB dask.array&lt;chunksize=(1830, 1830), meta=np.ndarray&gt;\n",
        "    b04      (y, x) uint8 121MB dask.array&lt;chunksize=(1830, 1830), meta=np.ndarray&gt;\n",
-       "    b08      (y, x) uint8 121MB dask.array&lt;chunksize=(1830, 1830), meta=np.ndarray&gt;</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>r10m</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-31390f4b-b65e-437c-931d-7e8d51480fb9' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-31390f4b-b65e-437c-931d-7e8d51480fb9' class='xr-section-summary'  title='Expand/collapse section'>Groups: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><div style='display: inline-grid; grid-template-columns: 100%; grid-column: 1 / -1'></div></div></li><li class='xr-section-item'><input id='section-71ab628e-fc10-434d-80db-c7be3a332cb4' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-71ab628e-fc10-434d-80db-c7be3a332cb4' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>y</span>: 10980</li><li><span class='xr-has-index'>x</span>: 10980</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-7d4cb29a-7523-4b11-b234-91b29d7c7625' class='xr-section-summary-in' type='checkbox'  checked><label for='section-7d4cb29a-7523-4b11-b234-91b29d7c7625' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>300005 300015 ... 409785 409795</div><input id='attrs-b9e5a29a-da68-46e6-8e28-3ad68a473358' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-b9e5a29a-da68-46e6-8e28-3ad68a473358' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1780bf7a-38e2-49b3-a11a-22a07bc39602' class='xr-var-data-in' type='checkbox'><label for='data-1780bf7a-38e2-49b3-a11a-22a07bc39602' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([300005, 300015, 300025, ..., 409775, 409785, 409795], shape=(10980,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>5000035 5000025 ... 4890255 4890245</div><input id='attrs-f000e188-8ba5-4298-a7ac-56f3085cc8bb' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-f000e188-8ba5-4298-a7ac-56f3085cc8bb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1a3d7c17-639d-4f76-9ae6-5cac892ea8d4' class='xr-var-data-in' type='checkbox'><label for='data-1a3d7c17-639d-4f76-9ae6-5cac892ea8d4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([5000035, 5000025, 5000015, ..., 4890265, 4890255, 4890245],\n",
-       "      shape=(10980,))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-b7099261-5bc1-4e18-9012-711cbaefbe8a' class='xr-section-summary-in' type='checkbox'  checked><label for='section-b7099261-5bc1-4e18-9012-711cbaefbe8a' class='xr-section-summary' >Data variables: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>b02</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1830, 1830), meta=np.ndarray&gt;</div><input id='attrs-83844b88-04e3-41ee-8dfe-246fe4385da4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-83844b88-04e3-41ee-8dfe-246fe4385da4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2fa4fbc5-382c-4226-b19b-042724e0bfd8' class='xr-var-data-in' type='checkbox'><label for='data-2fa4fbc5-382c-4226-b19b-042724e0bfd8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;]}</dd><dt><span>dtype :</span></dt><dd>&lt;u1</dd><dt><span>long_name :</span></dt><dd>detector footprint mask provided in the final reference frame (ground geometry). 0 = no detector, 1-12 = detector 1-12</dd><dt><span>proj:bbox :</span></dt><dd>[300000.0, 4890240.0, 409800.0, 5000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32632</dd><dt><span>proj:shape :</span></dt><dd>[10980, 10980]</dd><dt><span>proj:transform :</span></dt><dd>[10.0, 0.0, 300000.0, 0.0, -10.0, 5000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 32N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,9],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32632&quot;]]</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    b08      (y, x) uint8 121MB dask.array&lt;chunksize=(1830, 1830), meta=np.ndarray&gt;</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>r10m</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-57177435-b727-4221-b06e-de684ae39e2a' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-57177435-b727-4221-b06e-de684ae39e2a' class='xr-section-summary'  title='Expand/collapse section'>Groups: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><div style='display: inline-grid; grid-template-columns: 100%; grid-column: 1 / -1'></div></div></li><li class='xr-section-item'><input id='section-0a4c236b-9b93-4f47-b5ea-4b19ce44ab01' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-0a4c236b-9b93-4f47-b5ea-4b19ce44ab01' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>y</span>: 10980</li><li><span class='xr-has-index'>x</span>: 10980</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-4d1bdd27-9790-40e9-bffd-844aefce46c8' class='xr-section-summary-in' type='checkbox'  checked><label for='section-4d1bdd27-9790-40e9-bffd-844aefce46c8' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>499985 499995 ... 609765 609775</div><input id='attrs-2c1f7060-0a0b-44f9-b9bd-28fddf40c7a4' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-2c1f7060-0a0b-44f9-b9bd-28fddf40c7a4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3efab314-87da-4be8-966a-78064cdae8a2' class='xr-var-data-in' type='checkbox'><label for='data-3efab314-87da-4be8-966a-78064cdae8a2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([499985, 499995, 500005, ..., 609755, 609765, 609775], shape=(10980,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>8000035 8000025 ... 7890255 7890245</div><input id='attrs-f08f5f85-0a8e-45de-9f93-8a9c62a32b96' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-f08f5f85-0a8e-45de-9f93-8a9c62a32b96' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d364c5e4-5823-4bcb-b116-3acde26b606c' class='xr-var-data-in' type='checkbox'><label for='data-d364c5e4-5823-4bcb-b116-3acde26b606c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([8000035, 8000025, 8000015, ..., 7890265, 7890255, 7890245],\n",
+       "      shape=(10980,))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-f26ca2ef-99e3-42be-8484-32823785e523' class='xr-section-summary-in' type='checkbox'  checked><label for='section-f26ca2ef-99e3-42be-8484-32823785e523' class='xr-section-summary' >Data variables: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>b02</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1830, 1830), meta=np.ndarray&gt;</div><input id='attrs-909cfcb0-cc6b-43a3-99f7-8078902b56b0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-909cfcb0-cc6b-43a3-99f7-8078902b56b0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c4ce860a-d406-40ed-923a-88311543e28f' class='xr-var-data-in' type='checkbox'><label for='data-c4ce860a-d406-40ed-923a-88311543e28f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;dtype&#x27;: &#x27;&lt;u1&#x27;, &#x27;long_name&#x27;: &#x27;detector footprint mask provided in the final reference frame (ground geometry). 0 = no detector, 1-12 = detector 1-12&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u1</dd><dt><span>long_name :</span></dt><dd>detector footprint mask provided in the final reference frame (ground geometry). 0 = no detector, 1-12 = detector 1-12</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 7890240.0, 609780.0, 8000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32625</dd><dt><span>proj:shape :</span></dt><dd>[10980, 10980]</dd><dt><span>proj:transform :</span></dt><dd>[10.0, 0.0, 499980.0, 0.0, -10.0, 8000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 25N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,-33],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32625&quot;]]</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -2654,7 +2654,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b03</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1830, 1830), meta=np.ndarray&gt;</div><input id='attrs-59f398e6-b00d-4039-9f09-2163e371134f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-59f398e6-b00d-4039-9f09-2163e371134f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6bfbcf36-f1e5-48b1-a57a-7d51b9909c2e' class='xr-var-data-in' type='checkbox'><label for='data-6bfbcf36-f1e5-48b1-a57a-7d51b9909c2e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;]}</dd><dt><span>dtype :</span></dt><dd>&lt;u1</dd><dt><span>long_name :</span></dt><dd>detector footprint mask provided in the final reference frame (ground geometry). 0 = no detector, 1-12 = detector 1-12</dd><dt><span>proj:bbox :</span></dt><dd>[300000.0, 4890240.0, 409800.0, 5000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32632</dd><dt><span>proj:shape :</span></dt><dd>[10980, 10980]</dd><dt><span>proj:transform :</span></dt><dd>[10.0, 0.0, 300000.0, 0.0, -10.0, 5000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 32N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,9],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32632&quot;]]</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b03</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1830, 1830), meta=np.ndarray&gt;</div><input id='attrs-d0cb12c2-51fc-40f6-a3a3-1644f9e84202' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d0cb12c2-51fc-40f6-a3a3-1644f9e84202' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-61efd7a0-a15d-4b75-949c-35c1ecb056c6' class='xr-var-data-in' type='checkbox'><label for='data-61efd7a0-a15d-4b75-949c-35c1ecb056c6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;dtype&#x27;: &#x27;&lt;u1&#x27;, &#x27;long_name&#x27;: &#x27;detector footprint mask provided in the final reference frame (ground geometry). 0 = no detector, 1-12 = detector 1-12&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u1</dd><dt><span>long_name :</span></dt><dd>detector footprint mask provided in the final reference frame (ground geometry). 0 = no detector, 1-12 = detector 1-12</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 7890240.0, 609780.0, 8000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32625</dd><dt><span>proj:shape :</span></dt><dd>[10980, 10980]</dd><dt><span>proj:transform :</span></dt><dd>[10.0, 0.0, 499980.0, 0.0, -10.0, 8000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 25N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,-33],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32625&quot;]]</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -2719,7 +2719,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b04</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1830, 1830), meta=np.ndarray&gt;</div><input id='attrs-b94bb837-e9d9-4a38-94db-7c9c78b88d33' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b94bb837-e9d9-4a38-94db-7c9c78b88d33' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a8c85962-2c64-41c7-85be-b0f7285719d1' class='xr-var-data-in' type='checkbox'><label for='data-a8c85962-2c64-41c7-85be-b0f7285719d1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;]}</dd><dt><span>dtype :</span></dt><dd>&lt;u1</dd><dt><span>long_name :</span></dt><dd>detector footprint mask provided in the final reference frame (ground geometry). 0 = no detector, 1-12 = detector 1-12</dd><dt><span>proj:bbox :</span></dt><dd>[300000.0, 4890240.0, 409800.0, 5000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32632</dd><dt><span>proj:shape :</span></dt><dd>[10980, 10980]</dd><dt><span>proj:transform :</span></dt><dd>[10.0, 0.0, 300000.0, 0.0, -10.0, 5000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 32N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,9],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32632&quot;]]</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b04</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1830, 1830), meta=np.ndarray&gt;</div><input id='attrs-5a036882-e8a0-4427-a4c1-c657aec21fc1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5a036882-e8a0-4427-a4c1-c657aec21fc1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-700d4f8d-6f87-47fc-90e1-bb4cf140c70a' class='xr-var-data-in' type='checkbox'><label for='data-700d4f8d-6f87-47fc-90e1-bb4cf140c70a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;dtype&#x27;: &#x27;&lt;u1&#x27;, &#x27;long_name&#x27;: &#x27;detector footprint mask provided in the final reference frame (ground geometry). 0 = no detector, 1-12 = detector 1-12&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u1</dd><dt><span>long_name :</span></dt><dd>detector footprint mask provided in the final reference frame (ground geometry). 0 = no detector, 1-12 = detector 1-12</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 7890240.0, 609780.0, 8000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32625</dd><dt><span>proj:shape :</span></dt><dd>[10980, 10980]</dd><dt><span>proj:transform :</span></dt><dd>[10.0, 0.0, 499980.0, 0.0, -10.0, 8000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 25N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,-33],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32625&quot;]]</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -2784,7 +2784,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b08</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1830, 1830), meta=np.ndarray&gt;</div><input id='attrs-964b902e-405d-45b5-a7dd-0adf6acf2f7e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-964b902e-405d-45b5-a7dd-0adf6acf2f7e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cb07d661-26c0-43ff-8886-cb2adb19e89e' class='xr-var-data-in' type='checkbox'><label for='data-cb07d661-26c0-43ff-8886-cb2adb19e89e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;]}</dd><dt><span>dtype :</span></dt><dd>&lt;u1</dd><dt><span>long_name :</span></dt><dd>detector footprint mask provided in the final reference frame (ground geometry). 0 = no detector, 1-12 = detector 1-12</dd><dt><span>proj:bbox :</span></dt><dd>[300000.0, 4890240.0, 409800.0, 5000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32632</dd><dt><span>proj:shape :</span></dt><dd>[10980, 10980]</dd><dt><span>proj:transform :</span></dt><dd>[10.0, 0.0, 300000.0, 0.0, -10.0, 5000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 32N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,9],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32632&quot;]]</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b08</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1830, 1830), meta=np.ndarray&gt;</div><input id='attrs-8840d704-9176-40c4-852b-e0b661a47382' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8840d704-9176-40c4-852b-e0b661a47382' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5afba14b-0e2c-4f1d-b79d-25c44ab3182c' class='xr-var-data-in' type='checkbox'><label for='data-5afba14b-0e2c-4f1d-b79d-25c44ab3182c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;dtype&#x27;: &#x27;&lt;u1&#x27;, &#x27;long_name&#x27;: &#x27;detector footprint mask provided in the final reference frame (ground geometry). 0 = no detector, 1-12 = detector 1-12&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u1</dd><dt><span>long_name :</span></dt><dd>detector footprint mask provided in the final reference frame (ground geometry). 0 = no detector, 1-12 = detector 1-12</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 7890240.0, 609780.0, 8000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32625</dd><dt><span>proj:shape :</span></dt><dd>[10980, 10980]</dd><dt><span>proj:transform :</span></dt><dd>[10.0, 0.0, 499980.0, 0.0, -10.0, 8000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 25N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,-33],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32625&quot;]]</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -2849,7 +2849,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-0773decf-4153-4795-bc85-8dc50283719b' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-0773decf-4153-4795-bc85-8dc50283719b' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div><div style='display: inline-grid; grid-template-columns: 0px 20px auto; width: 100%;'><div style='grid-column-start: 1;border-right: 0.2em solid;border-color: var(--xr-border-color);height: 100%;width: 0px;'></div><div style='grid-column-start: 2;grid-row-start: 1;height: 1em;width: 20px;border-bottom: 0.2em solid;border-color: var(--xr-border-color);'></div><div style='grid-column-start: 3;'><div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
+       "</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-cff4a45c-aa73-4a44-8585-cfde29709d6e' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-cff4a45c-aa73-4a44-8585-cfde29709d6e' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div><div style='display: inline-grid; grid-template-columns: 0px 20px auto; width: 100%;'><div style='grid-column-start: 1;border-right: 0.2em solid;border-color: var(--xr-border-color);height: 100%;width: 0px;'></div><div style='grid-column-start: 2;grid-row-start: 1;height: 1em;width: 20px;border-bottom: 0.2em solid;border-color: var(--xr-border-color);'></div><div style='grid-column-start: 3;'><div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
        "<defs>\n",
        "<symbol id=\"icon-database\" viewBox=\"0 0 32 32\">\n",
        "<path d=\"M16 0c-8.837 0-16 2.239-16 5v4c0 2.761 7.163 5 16 5s16-2.239 16-5v-4c0-2.761-7.163-5-16-5z\"></path>\n",
@@ -3222,16 +3222,16 @@
        "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DatasetView&gt; Size: 181MB\n",
        "Dimensions:  (y: 5490, x: 5490)\n",
        "Coordinates:\n",
-       "  * x        (x) int64 44kB 300010 300030 300050 300070 ... 409750 409770 409790\n",
-       "  * y        (y) int64 44kB 5000030 5000010 4999990 ... 4890290 4890270 4890250\n",
+       "  * x        (x) int64 44kB 499990 500010 500030 500050 ... 609730 609750 609770\n",
+       "  * y        (y) int64 44kB 8000030 8000010 7999990 ... 7890290 7890270 7890250\n",
        "Data variables:\n",
        "    b05      (y, x) uint8 30MB dask.array&lt;chunksize=(915, 915), meta=np.ndarray&gt;\n",
        "    b06      (y, x) uint8 30MB dask.array&lt;chunksize=(915, 915), meta=np.ndarray&gt;\n",
        "    b07      (y, x) uint8 30MB dask.array&lt;chunksize=(915, 915), meta=np.ndarray&gt;\n",
        "    b11      (y, x) uint8 30MB dask.array&lt;chunksize=(915, 915), meta=np.ndarray&gt;\n",
        "    b12      (y, x) uint8 30MB dask.array&lt;chunksize=(915, 915), meta=np.ndarray&gt;\n",
-       "    b8a      (y, x) uint8 30MB dask.array&lt;chunksize=(915, 915), meta=np.ndarray&gt;</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>r20m</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-90bd8625-4f2f-4a4e-99f7-180cb73c5e5c' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-90bd8625-4f2f-4a4e-99f7-180cb73c5e5c' class='xr-section-summary'  title='Expand/collapse section'>Groups: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><div style='display: inline-grid; grid-template-columns: 100%; grid-column: 1 / -1'></div></div></li><li class='xr-section-item'><input id='section-5caeb8b9-e896-4dae-84dc-4578755b739c' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-5caeb8b9-e896-4dae-84dc-4578755b739c' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>y</span>: 5490</li><li><span class='xr-has-index'>x</span>: 5490</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-f623a7e0-10fc-4b51-8e93-b6dccc6b6d08' class='xr-section-summary-in' type='checkbox'  checked><label for='section-f623a7e0-10fc-4b51-8e93-b6dccc6b6d08' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>300010 300030 ... 409770 409790</div><input id='attrs-3167e2f6-0c56-42f8-a165-f6f05e681fbb' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-3167e2f6-0c56-42f8-a165-f6f05e681fbb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-620343ba-6bcd-4e27-a757-c3d7c388c6ac' class='xr-var-data-in' type='checkbox'><label for='data-620343ba-6bcd-4e27-a757-c3d7c388c6ac' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([300010, 300030, 300050, ..., 409750, 409770, 409790], shape=(5490,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>5000030 5000010 ... 4890270 4890250</div><input id='attrs-a04eda37-cda4-48ad-8ec7-7f4b0965c7a9' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-a04eda37-cda4-48ad-8ec7-7f4b0965c7a9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-acb6c81e-eac3-4efb-82e5-1ba17021c003' class='xr-var-data-in' type='checkbox'><label for='data-acb6c81e-eac3-4efb-82e5-1ba17021c003' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([5000030, 5000010, 4999990, ..., 4890290, 4890270, 4890250],\n",
-       "      shape=(5490,))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-29972f63-3caa-4aea-94b8-3d5b7dd19165' class='xr-section-summary-in' type='checkbox'  checked><label for='section-29972f63-3caa-4aea-94b8-3d5b7dd19165' class='xr-section-summary' >Data variables: <span>(6)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>b05</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(915, 915), meta=np.ndarray&gt;</div><input id='attrs-f48285b3-04d9-4b32-a8fb-bd16186a576a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f48285b3-04d9-4b32-a8fb-bd16186a576a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2b7dd27a-4142-42ae-80f4-7ad7528c8b03' class='xr-var-data-in' type='checkbox'><label for='data-2b7dd27a-4142-42ae-80f4-7ad7528c8b03' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;]}</dd><dt><span>dtype :</span></dt><dd>&lt;u1</dd><dt><span>long_name :</span></dt><dd>detector footprint mask provided in the final reference frame (ground geometry). 0 = no detector, 1-12 = detector 1-12</dd><dt><span>proj:bbox :</span></dt><dd>[300000.0, 4890240.0, 409800.0, 5000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32632</dd><dt><span>proj:shape :</span></dt><dd>[5490, 5490]</dd><dt><span>proj:transform :</span></dt><dd>[20.0, 0.0, 300000.0, 0.0, -20.0, 5000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 32N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,9],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32632&quot;]]</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    b8a      (y, x) uint8 30MB dask.array&lt;chunksize=(915, 915), meta=np.ndarray&gt;</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>r20m</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-08a2e449-1619-4c21-8e09-86e5ce95acf8' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-08a2e449-1619-4c21-8e09-86e5ce95acf8' class='xr-section-summary'  title='Expand/collapse section'>Groups: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><div style='display: inline-grid; grid-template-columns: 100%; grid-column: 1 / -1'></div></div></li><li class='xr-section-item'><input id='section-bf285400-8e73-4803-8e22-3f270d3db5a0' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-bf285400-8e73-4803-8e22-3f270d3db5a0' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>y</span>: 5490</li><li><span class='xr-has-index'>x</span>: 5490</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-cfb584c6-5d04-490e-94e6-f619a55339bf' class='xr-section-summary-in' type='checkbox'  checked><label for='section-cfb584c6-5d04-490e-94e6-f619a55339bf' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>499990 500010 ... 609750 609770</div><input id='attrs-156c65ed-88f9-45ab-bd21-630a8333186d' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-156c65ed-88f9-45ab-bd21-630a8333186d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9b9106eb-774a-4a70-8e84-d537a2ca3755' class='xr-var-data-in' type='checkbox'><label for='data-9b9106eb-774a-4a70-8e84-d537a2ca3755' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([499990, 500010, 500030, ..., 609730, 609750, 609770], shape=(5490,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>8000030 8000010 ... 7890270 7890250</div><input id='attrs-4f235a5e-7a87-42a0-81e9-378f89b344d6' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-4f235a5e-7a87-42a0-81e9-378f89b344d6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f308dbc3-0bd4-4806-a7c9-144179417b1f' class='xr-var-data-in' type='checkbox'><label for='data-f308dbc3-0bd4-4806-a7c9-144179417b1f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([8000030, 8000010, 7999990, ..., 7890290, 7890270, 7890250],\n",
+       "      shape=(5490,))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-564c81ec-148c-479b-bf87-3a7c7884fa82' class='xr-section-summary-in' type='checkbox'  checked><label for='section-564c81ec-148c-479b-bf87-3a7c7884fa82' class='xr-section-summary' >Data variables: <span>(6)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>b05</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(915, 915), meta=np.ndarray&gt;</div><input id='attrs-8e353b3c-7ad5-4a1b-9ad1-a3ea6a0b20e2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8e353b3c-7ad5-4a1b-9ad1-a3ea6a0b20e2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0b441052-8201-4223-83ab-a0ca1e68997e' class='xr-var-data-in' type='checkbox'><label for='data-0b441052-8201-4223-83ab-a0ca1e68997e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;dtype&#x27;: &#x27;&lt;u1&#x27;, &#x27;long_name&#x27;: &#x27;detector footprint mask provided in the final reference frame (ground geometry). 0 = no detector, 1-12 = detector 1-12&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u1</dd><dt><span>long_name :</span></dt><dd>detector footprint mask provided in the final reference frame (ground geometry). 0 = no detector, 1-12 = detector 1-12</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 7890240.0, 609780.0, 8000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32625</dd><dt><span>proj:shape :</span></dt><dd>[5490, 5490]</dd><dt><span>proj:transform :</span></dt><dd>[20.0, 0.0, 499980.0, 0.0, -20.0, 8000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 25N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,-33],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32625&quot;]]</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -3296,7 +3296,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b06</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(915, 915), meta=np.ndarray&gt;</div><input id='attrs-1386edea-e235-4124-a4a6-8bfd5725f9da' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1386edea-e235-4124-a4a6-8bfd5725f9da' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-aa9442b5-c7fb-4d6a-93c8-ed81cdc63ef6' class='xr-var-data-in' type='checkbox'><label for='data-aa9442b5-c7fb-4d6a-93c8-ed81cdc63ef6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;]}</dd><dt><span>dtype :</span></dt><dd>&lt;u1</dd><dt><span>long_name :</span></dt><dd>detector footprint mask provided in the final reference frame (ground geometry). 0 = no detector, 1-12 = detector 1-12</dd><dt><span>proj:bbox :</span></dt><dd>[300000.0, 4890240.0, 409800.0, 5000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32632</dd><dt><span>proj:shape :</span></dt><dd>[5490, 5490]</dd><dt><span>proj:transform :</span></dt><dd>[20.0, 0.0, 300000.0, 0.0, -20.0, 5000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 32N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,9],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32632&quot;]]</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b06</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(915, 915), meta=np.ndarray&gt;</div><input id='attrs-32fc17e7-e729-44da-8b0f-7df7075c4c4b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-32fc17e7-e729-44da-8b0f-7df7075c4c4b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-38ef2912-030f-468f-bb9c-f82349ceb045' class='xr-var-data-in' type='checkbox'><label for='data-38ef2912-030f-468f-bb9c-f82349ceb045' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;dtype&#x27;: &#x27;&lt;u1&#x27;, &#x27;long_name&#x27;: &#x27;detector footprint mask provided in the final reference frame (ground geometry). 0 = no detector, 1-12 = detector 1-12&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u1</dd><dt><span>long_name :</span></dt><dd>detector footprint mask provided in the final reference frame (ground geometry). 0 = no detector, 1-12 = detector 1-12</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 7890240.0, 609780.0, 8000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32625</dd><dt><span>proj:shape :</span></dt><dd>[5490, 5490]</dd><dt><span>proj:transform :</span></dt><dd>[20.0, 0.0, 499980.0, 0.0, -20.0, 8000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 25N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,-33],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32625&quot;]]</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -3361,7 +3361,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b07</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(915, 915), meta=np.ndarray&gt;</div><input id='attrs-9ded27c2-752f-4d8f-b6cc-bf5314bcf23a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9ded27c2-752f-4d8f-b6cc-bf5314bcf23a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0dcd6f14-2dcd-48e9-b376-2144fc70e62a' class='xr-var-data-in' type='checkbox'><label for='data-0dcd6f14-2dcd-48e9-b376-2144fc70e62a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;]}</dd><dt><span>dtype :</span></dt><dd>&lt;u1</dd><dt><span>long_name :</span></dt><dd>detector footprint mask provided in the final reference frame (ground geometry). 0 = no detector, 1-12 = detector 1-12</dd><dt><span>proj:bbox :</span></dt><dd>[300000.0, 4890240.0, 409800.0, 5000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32632</dd><dt><span>proj:shape :</span></dt><dd>[5490, 5490]</dd><dt><span>proj:transform :</span></dt><dd>[20.0, 0.0, 300000.0, 0.0, -20.0, 5000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 32N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,9],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32632&quot;]]</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b07</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(915, 915), meta=np.ndarray&gt;</div><input id='attrs-ac24dca5-634a-4cbb-b7be-510e800e3e00' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ac24dca5-634a-4cbb-b7be-510e800e3e00' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8df14fc2-5652-4a8b-b6d3-4b6f2319163a' class='xr-var-data-in' type='checkbox'><label for='data-8df14fc2-5652-4a8b-b6d3-4b6f2319163a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;dtype&#x27;: &#x27;&lt;u1&#x27;, &#x27;long_name&#x27;: &#x27;detector footprint mask provided in the final reference frame (ground geometry). 0 = no detector, 1-12 = detector 1-12&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u1</dd><dt><span>long_name :</span></dt><dd>detector footprint mask provided in the final reference frame (ground geometry). 0 = no detector, 1-12 = detector 1-12</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 7890240.0, 609780.0, 8000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32625</dd><dt><span>proj:shape :</span></dt><dd>[5490, 5490]</dd><dt><span>proj:transform :</span></dt><dd>[20.0, 0.0, 499980.0, 0.0, -20.0, 8000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 25N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,-33],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32625&quot;]]</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -3426,7 +3426,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b11</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(915, 915), meta=np.ndarray&gt;</div><input id='attrs-3595c58e-15ca-4a19-989d-b1727751ecb2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3595c58e-15ca-4a19-989d-b1727751ecb2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a0c38fd1-f9ad-4fd6-9225-89bee5970532' class='xr-var-data-in' type='checkbox'><label for='data-a0c38fd1-f9ad-4fd6-9225-89bee5970532' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;]}</dd><dt><span>dtype :</span></dt><dd>&lt;u1</dd><dt><span>long_name :</span></dt><dd>detector footprint mask provided in the final reference frame (ground geometry). 0 = no detector, 1-12 = detector 1-12</dd><dt><span>proj:bbox :</span></dt><dd>[300000.0, 4890240.0, 409800.0, 5000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32632</dd><dt><span>proj:shape :</span></dt><dd>[5490, 5490]</dd><dt><span>proj:transform :</span></dt><dd>[20.0, 0.0, 300000.0, 0.0, -20.0, 5000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 32N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,9],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32632&quot;]]</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b11</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(915, 915), meta=np.ndarray&gt;</div><input id='attrs-ffc8d9f8-0dfc-43be-8361-49809cdaa8c5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ffc8d9f8-0dfc-43be-8361-49809cdaa8c5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c05c1dd8-e3d0-4b8f-b027-6875d83e9519' class='xr-var-data-in' type='checkbox'><label for='data-c05c1dd8-e3d0-4b8f-b027-6875d83e9519' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;dtype&#x27;: &#x27;&lt;u1&#x27;, &#x27;long_name&#x27;: &#x27;detector footprint mask provided in the final reference frame (ground geometry). 0 = no detector, 1-12 = detector 1-12&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u1</dd><dt><span>long_name :</span></dt><dd>detector footprint mask provided in the final reference frame (ground geometry). 0 = no detector, 1-12 = detector 1-12</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 7890240.0, 609780.0, 8000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32625</dd><dt><span>proj:shape :</span></dt><dd>[5490, 5490]</dd><dt><span>proj:transform :</span></dt><dd>[20.0, 0.0, 499980.0, 0.0, -20.0, 8000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 25N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,-33],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32625&quot;]]</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -3491,7 +3491,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b12</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(915, 915), meta=np.ndarray&gt;</div><input id='attrs-a32056de-bfa2-498b-9599-cb42227012ab' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a32056de-bfa2-498b-9599-cb42227012ab' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-373b69d9-5f3f-4c01-bfc9-2f024aa93512' class='xr-var-data-in' type='checkbox'><label for='data-373b69d9-5f3f-4c01-bfc9-2f024aa93512' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;]}</dd><dt><span>dtype :</span></dt><dd>&lt;u1</dd><dt><span>long_name :</span></dt><dd>detector footprint mask provided in the final reference frame (ground geometry). 0 = no detector, 1-12 = detector 1-12</dd><dt><span>proj:bbox :</span></dt><dd>[300000.0, 4890240.0, 409800.0, 5000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32632</dd><dt><span>proj:shape :</span></dt><dd>[5490, 5490]</dd><dt><span>proj:transform :</span></dt><dd>[20.0, 0.0, 300000.0, 0.0, -20.0, 5000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 32N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,9],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32632&quot;]]</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b12</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(915, 915), meta=np.ndarray&gt;</div><input id='attrs-62d995f6-a14d-4646-85d6-a087d4569908' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-62d995f6-a14d-4646-85d6-a087d4569908' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-16b0e8c8-9be5-42b0-9c83-584705507b35' class='xr-var-data-in' type='checkbox'><label for='data-16b0e8c8-9be5-42b0-9c83-584705507b35' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;dtype&#x27;: &#x27;&lt;u1&#x27;, &#x27;long_name&#x27;: &#x27;detector footprint mask provided in the final reference frame (ground geometry). 0 = no detector, 1-12 = detector 1-12&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u1</dd><dt><span>long_name :</span></dt><dd>detector footprint mask provided in the final reference frame (ground geometry). 0 = no detector, 1-12 = detector 1-12</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 7890240.0, 609780.0, 8000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32625</dd><dt><span>proj:shape :</span></dt><dd>[5490, 5490]</dd><dt><span>proj:transform :</span></dt><dd>[20.0, 0.0, 499980.0, 0.0, -20.0, 8000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 25N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,-33],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32625&quot;]]</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -3556,7 +3556,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b8a</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(915, 915), meta=np.ndarray&gt;</div><input id='attrs-60beca1c-81c5-4c98-853e-de69f9180605' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-60beca1c-81c5-4c98-853e-de69f9180605' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2d7bffb1-8e7c-49a1-9e0f-fd42ff5a8d1e' class='xr-var-data-in' type='checkbox'><label for='data-2d7bffb1-8e7c-49a1-9e0f-fd42ff5a8d1e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;]}</dd><dt><span>dtype :</span></dt><dd>&lt;u1</dd><dt><span>long_name :</span></dt><dd>detector footprint mask provided in the final reference frame (ground geometry). 0 = no detector, 1-12 = detector 1-12</dd><dt><span>proj:bbox :</span></dt><dd>[300000.0, 4890240.0, 409800.0, 5000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32632</dd><dt><span>proj:shape :</span></dt><dd>[5490, 5490]</dd><dt><span>proj:transform :</span></dt><dd>[20.0, 0.0, 300000.0, 0.0, -20.0, 5000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 32N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,9],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32632&quot;]]</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b8a</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(915, 915), meta=np.ndarray&gt;</div><input id='attrs-048308f6-3b2d-4e47-a231-96d5d25b3a08' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-048308f6-3b2d-4e47-a231-96d5d25b3a08' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-03e32e4c-1f76-404b-8604-7adfd3d091b1' class='xr-var-data-in' type='checkbox'><label for='data-03e32e4c-1f76-404b-8604-7adfd3d091b1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;dtype&#x27;: &#x27;&lt;u1&#x27;, &#x27;long_name&#x27;: &#x27;detector footprint mask provided in the final reference frame (ground geometry). 0 = no detector, 1-12 = detector 1-12&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u1</dd><dt><span>long_name :</span></dt><dd>detector footprint mask provided in the final reference frame (ground geometry). 0 = no detector, 1-12 = detector 1-12</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 7890240.0, 609780.0, 8000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32625</dd><dt><span>proj:shape :</span></dt><dd>[5490, 5490]</dd><dt><span>proj:transform :</span></dt><dd>[20.0, 0.0, 499980.0, 0.0, -20.0, 8000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 25N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,-33],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32625&quot;]]</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -3621,7 +3621,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-a11f2a07-1ce3-405e-9ada-d219a91ad025' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-a11f2a07-1ce3-405e-9ada-d219a91ad025' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div><div style='display: inline-grid; grid-template-columns: 0px 20px auto; width: 100%;'><div style='grid-column-start: 1;border-right: 0.2em solid;border-color: var(--xr-border-color);height: 1.2em;width: 0px;'></div><div style='grid-column-start: 2;grid-row-start: 1;height: 1em;width: 20px;border-bottom: 0.2em solid;border-color: var(--xr-border-color);'></div><div style='grid-column-start: 3;'><div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
+       "</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-a2c7548c-c928-478f-916d-a633769215e3' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-a2c7548c-c928-478f-916d-a633769215e3' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div><div style='display: inline-grid; grid-template-columns: 0px 20px auto; width: 100%;'><div style='grid-column-start: 1;border-right: 0.2em solid;border-color: var(--xr-border-color);height: 1.2em;width: 0px;'></div><div style='grid-column-start: 2;grid-row-start: 1;height: 1em;width: 20px;border-bottom: 0.2em solid;border-color: var(--xr-border-color);'></div><div style='grid-column-start: 3;'><div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
        "<defs>\n",
        "<symbol id=\"icon-database\" viewBox=\"0 0 32 32\">\n",
        "<path d=\"M16 0c-8.837 0-16 2.239-16 5v4c0 2.761 7.163 5 16 5s16-2.239 16-5v-4c0-2.761-7.163-5-16-5z\"></path>\n",
@@ -3994,13 +3994,13 @@
        "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DatasetView&gt; Size: 10MB\n",
        "Dimensions:  (y: 1830, x: 1830)\n",
        "Coordinates:\n",
-       "  * x        (x) int64 15kB 300030 300090 300150 300210 ... 409650 409710 409770\n",
-       "  * y        (y) int64 15kB 5000010 4999950 4999890 ... 4890390 4890330 4890270\n",
+       "  * x        (x) int64 15kB 500010 500070 500130 500190 ... 609630 609690 609750\n",
+       "  * y        (y) int64 15kB 8000010 7999950 7999890 ... 7890390 7890330 7890270\n",
        "Data variables:\n",
        "    b01      (y, x) uint8 3MB dask.array&lt;chunksize=(305, 305), meta=np.ndarray&gt;\n",
        "    b09      (y, x) uint8 3MB dask.array&lt;chunksize=(305, 305), meta=np.ndarray&gt;\n",
-       "    b10      (y, x) uint8 3MB dask.array&lt;chunksize=(305, 305), meta=np.ndarray&gt;</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>r60m</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-07deb038-69ac-4daf-8618-f00339c91e8f' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-07deb038-69ac-4daf-8618-f00339c91e8f' class='xr-section-summary'  title='Expand/collapse section'>Groups: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><div style='display: inline-grid; grid-template-columns: 100%; grid-column: 1 / -1'></div></div></li><li class='xr-section-item'><input id='section-5dbfd054-938f-474f-9aa6-e5561981f6f9' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-5dbfd054-938f-474f-9aa6-e5561981f6f9' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>y</span>: 1830</li><li><span class='xr-has-index'>x</span>: 1830</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-5f2e192d-46fb-4ca9-bcb1-63cf2e6e1a2d' class='xr-section-summary-in' type='checkbox'  checked><label for='section-5f2e192d-46fb-4ca9-bcb1-63cf2e6e1a2d' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>300030 300090 ... 409710 409770</div><input id='attrs-78025759-f0fc-4be2-8fb6-3be997e8c1e2' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-78025759-f0fc-4be2-8fb6-3be997e8c1e2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c013791d-82a4-40c0-8ef9-aa2ea38fb094' class='xr-var-data-in' type='checkbox'><label for='data-c013791d-82a4-40c0-8ef9-aa2ea38fb094' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([300030, 300090, 300150, ..., 409650, 409710, 409770], shape=(1830,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>5000010 4999950 ... 4890330 4890270</div><input id='attrs-6b7db09a-f6f7-4f58-a38c-ebea7db0d064' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-6b7db09a-f6f7-4f58-a38c-ebea7db0d064' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7da2a134-f55b-4b77-83af-de33a0d711e0' class='xr-var-data-in' type='checkbox'><label for='data-7da2a134-f55b-4b77-83af-de33a0d711e0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([5000010, 4999950, 4999890, ..., 4890390, 4890330, 4890270],\n",
-       "      shape=(1830,))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-8fada31e-c906-42e2-9670-7e6e50d331a5' class='xr-section-summary-in' type='checkbox'  checked><label for='section-8fada31e-c906-42e2-9670-7e6e50d331a5' class='xr-section-summary' >Data variables: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>b01</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(305, 305), meta=np.ndarray&gt;</div><input id='attrs-cfd15be5-e37b-4b97-a4d1-9e401b795666' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cfd15be5-e37b-4b97-a4d1-9e401b795666' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-879f5b11-ce09-4f5a-8dc7-7db0d7333f72' class='xr-var-data-in' type='checkbox'><label for='data-879f5b11-ce09-4f5a-8dc7-7db0d7333f72' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;]}</dd><dt><span>dtype :</span></dt><dd>&lt;u1</dd><dt><span>long_name :</span></dt><dd>detector footprint mask provided in the final reference frame (ground geometry). 0 = no detector, 1-12 = detector 1-12</dd><dt><span>proj:bbox :</span></dt><dd>[300000.0, 4890240.0, 409800.0, 5000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32632</dd><dt><span>proj:shape :</span></dt><dd>[1830, 1830]</dd><dt><span>proj:transform :</span></dt><dd>[60.0, 0.0, 300000.0, 0.0, -60.0, 5000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 32N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,9],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32632&quot;]]</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    b10      (y, x) uint8 3MB dask.array&lt;chunksize=(305, 305), meta=np.ndarray&gt;</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>r60m</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-3a5d14fd-9752-4e60-9dc1-07129c81b1e8' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-3a5d14fd-9752-4e60-9dc1-07129c81b1e8' class='xr-section-summary'  title='Expand/collapse section'>Groups: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><div style='display: inline-grid; grid-template-columns: 100%; grid-column: 1 / -1'></div></div></li><li class='xr-section-item'><input id='section-ac7a1508-ce92-4e04-a8b7-fe9a4bb548b5' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-ac7a1508-ce92-4e04-a8b7-fe9a4bb548b5' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>y</span>: 1830</li><li><span class='xr-has-index'>x</span>: 1830</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-dbdd6fb7-d224-49c8-8435-ba06a920fa32' class='xr-section-summary-in' type='checkbox'  checked><label for='section-dbdd6fb7-d224-49c8-8435-ba06a920fa32' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>500010 500070 ... 609690 609750</div><input id='attrs-c5309913-1980-4aae-b385-9f9ac1469568' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-c5309913-1980-4aae-b385-9f9ac1469568' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-472b1f58-ee1a-41da-9d86-ea9020ad123e' class='xr-var-data-in' type='checkbox'><label for='data-472b1f58-ee1a-41da-9d86-ea9020ad123e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([500010, 500070, 500130, ..., 609630, 609690, 609750], shape=(1830,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>8000010 7999950 ... 7890330 7890270</div><input id='attrs-54b2d3b4-156a-4529-8c76-01e90aa3b480' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-54b2d3b4-156a-4529-8c76-01e90aa3b480' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0ba53a6e-bc74-4119-af10-cdfa8ad61d30' class='xr-var-data-in' type='checkbox'><label for='data-0ba53a6e-bc74-4119-af10-cdfa8ad61d30' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([8000010, 7999950, 7999890, ..., 7890390, 7890330, 7890270],\n",
+       "      shape=(1830,))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-60844b45-9fbd-4560-a084-8949549d3677' class='xr-section-summary-in' type='checkbox'  checked><label for='section-60844b45-9fbd-4560-a084-8949549d3677' class='xr-section-summary' >Data variables: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>b01</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(305, 305), meta=np.ndarray&gt;</div><input id='attrs-bb203dc8-f2ae-4e54-b1e5-4ec51f2663b1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bb203dc8-f2ae-4e54-b1e5-4ec51f2663b1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-75ebe1f8-c82a-425d-ac05-15b4ce51346a' class='xr-var-data-in' type='checkbox'><label for='data-75ebe1f8-c82a-425d-ac05-15b4ce51346a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;dtype&#x27;: &#x27;&lt;u1&#x27;, &#x27;long_name&#x27;: &#x27;detector footprint mask provided in the final reference frame (ground geometry). 0 = no detector, 1-12 = detector 1-12&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u1</dd><dt><span>long_name :</span></dt><dd>detector footprint mask provided in the final reference frame (ground geometry). 0 = no detector, 1-12 = detector 1-12</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 7890240.0, 609780.0, 8000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32625</dd><dt><span>proj:shape :</span></dt><dd>[1830, 1830]</dd><dt><span>proj:transform :</span></dt><dd>[60.0, 0.0, 499980.0, 0.0, -60.0, 8000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 25N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,-33],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32625&quot;]]</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -4065,7 +4065,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b09</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(305, 305), meta=np.ndarray&gt;</div><input id='attrs-8ba47d37-4a1b-43d7-815e-cd7c8b4431bd' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8ba47d37-4a1b-43d7-815e-cd7c8b4431bd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3f07ba52-1dc6-4e00-8893-d7fb9c98737d' class='xr-var-data-in' type='checkbox'><label for='data-3f07ba52-1dc6-4e00-8893-d7fb9c98737d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;]}</dd><dt><span>dtype :</span></dt><dd>&lt;u1</dd><dt><span>long_name :</span></dt><dd>detector footprint mask provided in the final reference frame (ground geometry). 0 = no detector, 1-12 = detector 1-12</dd><dt><span>proj:bbox :</span></dt><dd>[300000.0, 4890240.0, 409800.0, 5000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32632</dd><dt><span>proj:shape :</span></dt><dd>[1830, 1830]</dd><dt><span>proj:transform :</span></dt><dd>[60.0, 0.0, 300000.0, 0.0, -60.0, 5000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 32N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,9],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32632&quot;]]</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b09</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(305, 305), meta=np.ndarray&gt;</div><input id='attrs-7a50a41c-acf1-4a1b-9e43-b0956a7d3a10' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7a50a41c-acf1-4a1b-9e43-b0956a7d3a10' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f442734e-90fa-4983-b70f-be3e3bd8797f' class='xr-var-data-in' type='checkbox'><label for='data-f442734e-90fa-4983-b70f-be3e3bd8797f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;dtype&#x27;: &#x27;&lt;u1&#x27;, &#x27;long_name&#x27;: &#x27;detector footprint mask provided in the final reference frame (ground geometry). 0 = no detector, 1-12 = detector 1-12&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u1</dd><dt><span>long_name :</span></dt><dd>detector footprint mask provided in the final reference frame (ground geometry). 0 = no detector, 1-12 = detector 1-12</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 7890240.0, 609780.0, 8000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32625</dd><dt><span>proj:shape :</span></dt><dd>[1830, 1830]</dd><dt><span>proj:transform :</span></dt><dd>[60.0, 0.0, 499980.0, 0.0, -60.0, 8000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 25N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,-33],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32625&quot;]]</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -4130,7 +4130,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b10</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(305, 305), meta=np.ndarray&gt;</div><input id='attrs-b609fc2c-3386-47b2-bb01-acbe83b9ed40' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b609fc2c-3386-47b2-bb01-acbe83b9ed40' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-806e89b0-e69b-4135-b662-aae09fa61b6d' class='xr-var-data-in' type='checkbox'><label for='data-806e89b0-e69b-4135-b662-aae09fa61b6d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;]}</dd><dt><span>dtype :</span></dt><dd>&lt;u1</dd><dt><span>long_name :</span></dt><dd>detector footprint mask provided in the final reference frame (ground geometry). 0 = no detector, 1-12 = detector 1-12</dd><dt><span>proj:bbox :</span></dt><dd>[300000.0, 4890240.0, 409800.0, 5000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32632</dd><dt><span>proj:shape :</span></dt><dd>[1830, 1830]</dd><dt><span>proj:transform :</span></dt><dd>[60.0, 0.0, 300000.0, 0.0, -60.0, 5000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 32N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,9],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32632&quot;]]</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b10</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(305, 305), meta=np.ndarray&gt;</div><input id='attrs-ddc12fe1-7595-442c-a831-845bd5588cab' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ddc12fe1-7595-442c-a831-845bd5588cab' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-37df9bab-380f-4bf4-8108-79e07fddbc38' class='xr-var-data-in' type='checkbox'><label for='data-37df9bab-380f-4bf4-8108-79e07fddbc38' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;dtype&#x27;: &#x27;&lt;u1&#x27;, &#x27;long_name&#x27;: &#x27;detector footprint mask provided in the final reference frame (ground geometry). 0 = no detector, 1-12 = detector 1-12&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u1</dd><dt><span>long_name :</span></dt><dd>detector footprint mask provided in the final reference frame (ground geometry). 0 = no detector, 1-12 = detector 1-12</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 7890240.0, 609780.0, 8000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32625</dd><dt><span>proj:shape :</span></dt><dd>[1830, 1830]</dd><dt><span>proj:transform :</span></dt><dd>[60.0, 0.0, 499980.0, 0.0, -60.0, 8000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 25N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,-33],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32625&quot;]]</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -4195,7 +4195,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-8e27114b-945a-429d-b313-f64335a5db2f' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-8e27114b-945a-429d-b313-f64335a5db2f' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div></div></div></li><li class='xr-section-item'><input id='section-7f11850c-ea45-4f17-9c12-59012b2a3256' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-7f11850c-ea45-4f17-9c12-59012b2a3256' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-89449b82-dc6e-4b3c-b272-6a96e133c8f3' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-89449b82-dc6e-4b3c-b272-6a96e133c8f3' class='xr-section-summary'  title='Expand/collapse section'>Coordinates: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-8054f3e9-576d-4000-adb5-46494bc61855' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-8054f3e9-576d-4000-adb5-46494bc61855' class='xr-section-summary'  title='Expand/collapse section'>Data variables: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-abd1b2c9-8eba-4fad-947f-36fe40db8e36' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-abd1b2c9-8eba-4fad-947f-36fe40db8e36' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div><div style='display: inline-grid; grid-template-columns: 0px 20px auto; width: 100%;'><div style='grid-column-start: 1;border-right: 0.2em solid;border-color: var(--xr-border-color);height: 1.2em;width: 0px;'></div><div style='grid-column-start: 2;grid-row-start: 1;height: 1em;width: 20px;border-bottom: 0.2em solid;border-color: var(--xr-border-color);'></div><div style='grid-column-start: 3;'><div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
+       "</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-29e2d1ac-92d1-45cf-833a-a2f939b5ba3a' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-29e2d1ac-92d1-45cf-833a-a2f939b5ba3a' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div></div></div></li><li class='xr-section-item'><input id='section-a32adc1b-0285-4339-a555-34924ca2d95d' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-a32adc1b-0285-4339-a555-34924ca2d95d' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-2a66ffd7-521c-44f1-ae15-02be7e382120' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-2a66ffd7-521c-44f1-ae15-02be7e382120' class='xr-section-summary'  title='Expand/collapse section'>Coordinates: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-e2eb801e-4cbd-4784-b9c1-1ba7fa6b14a3' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-e2eb801e-4cbd-4784-b9c1-1ba7fa6b14a3' class='xr-section-summary'  title='Expand/collapse section'>Data variables: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-7d31a3da-ba01-4c89-bde8-4f0e2e4713c4' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-7d31a3da-ba01-4c89-bde8-4f0e2e4713c4' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div><div style='display: inline-grid; grid-template-columns: 0px 20px auto; width: 100%;'><div style='grid-column-start: 1;border-right: 0.2em solid;border-color: var(--xr-border-color);height: 1.2em;width: 0px;'></div><div style='grid-column-start: 2;grid-row-start: 1;height: 1em;width: 20px;border-bottom: 0.2em solid;border-color: var(--xr-border-color);'></div><div style='grid-column-start: 3;'><div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
        "<defs>\n",
        "<symbol id=\"icon-database\" viewBox=\"0 0 32 32\">\n",
        "<path d=\"M16 0c-8.837 0-16 2.239-16 5v4c0 2.761 7.163 5 16 5s16-2.239 16-5v-4c0-2.761-7.163-5-16-5z\"></path>\n",
@@ -4568,7 +4568,7 @@
        "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DatasetView&gt; Size: 0B\n",
        "Dimensions:  ()\n",
        "Data variables:\n",
-       "    *empty*</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>l1c_classification</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-841e4c57-af0f-4dd8-88ae-d8c2d021411c' class='xr-section-summary-in' type='checkbox'  ><label for='section-841e4c57-af0f-4dd8-88ae-d8c2d021411c' class='xr-section-summary' >Groups: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><div style='display: inline-grid; grid-template-columns: 100%; grid-column: 1 / -1'><div style='display: inline-grid; grid-template-columns: 0px 20px auto; width: 100%;'><div style='grid-column-start: 1;border-right: 0.2em solid;border-color: var(--xr-border-color);height: 1.2em;width: 0px;'></div><div style='grid-column-start: 2;grid-row-start: 1;height: 1em;width: 20px;border-bottom: 0.2em solid;border-color: var(--xr-border-color);'></div><div style='grid-column-start: 3;'><div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
+       "    *empty*</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>l1c_classification</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-6a7da73a-e4f6-42c4-b193-4867c8354b59' class='xr-section-summary-in' type='checkbox'  ><label for='section-6a7da73a-e4f6-42c4-b193-4867c8354b59' class='xr-section-summary' >Groups: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><div style='display: inline-grid; grid-template-columns: 100%; grid-column: 1 / -1'><div style='display: inline-grid; grid-template-columns: 0px 20px auto; width: 100%;'><div style='grid-column-start: 1;border-right: 0.2em solid;border-color: var(--xr-border-color);height: 1.2em;width: 0px;'></div><div style='grid-column-start: 2;grid-row-start: 1;height: 1em;width: 20px;border-bottom: 0.2em solid;border-color: var(--xr-border-color);'></div><div style='grid-column-start: 3;'><div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
        "<defs>\n",
        "<symbol id=\"icon-database\" viewBox=\"0 0 32 32\">\n",
        "<path d=\"M16 0c-8.837 0-16 2.239-16 5v4c0 2.761 7.163 5 16 5s16-2.239 16-5v-4c0-2.761-7.163-5-16-5z\"></path>\n",
@@ -4941,11 +4941,11 @@
        "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DatasetView&gt; Size: 3MB\n",
        "Dimensions:  (y: 1830, x: 1830)\n",
        "Coordinates:\n",
-       "  * x        (x) int64 15kB 300030 300090 300150 300210 ... 409650 409710 409770\n",
-       "  * y        (y) int64 15kB 5000010 4999950 4999890 ... 4890390 4890330 4890270\n",
+       "  * x        (x) int64 15kB 500010 500070 500130 500190 ... 609630 609690 609750\n",
+       "  * y        (y) int64 15kB 8000010 7999950 7999890 ... 7890390 7890330 7890270\n",
        "Data variables:\n",
-       "    b00      (y, x) uint8 3MB dask.array&lt;chunksize=(305, 305), meta=np.ndarray&gt;</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>r60m</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-50f564ad-2d0b-484c-8951-659d68a9e7a8' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-50f564ad-2d0b-484c-8951-659d68a9e7a8' class='xr-section-summary'  title='Expand/collapse section'>Groups: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><div style='display: inline-grid; grid-template-columns: 100%; grid-column: 1 / -1'></div></div></li><li class='xr-section-item'><input id='section-97c59c7d-e8ed-4045-8140-587eff7d9f13' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-97c59c7d-e8ed-4045-8140-587eff7d9f13' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>y</span>: 1830</li><li><span class='xr-has-index'>x</span>: 1830</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-261abd61-0ce6-4e95-b0db-084af371ed02' class='xr-section-summary-in' type='checkbox'  checked><label for='section-261abd61-0ce6-4e95-b0db-084af371ed02' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>300030 300090 ... 409710 409770</div><input id='attrs-3c48eb5e-ba85-4792-8237-5f6508acd473' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-3c48eb5e-ba85-4792-8237-5f6508acd473' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-346f6876-5ad6-434c-b57c-540449e439d7' class='xr-var-data-in' type='checkbox'><label for='data-346f6876-5ad6-434c-b57c-540449e439d7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([300030, 300090, 300150, ..., 409650, 409710, 409770], shape=(1830,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>5000010 4999950 ... 4890330 4890270</div><input id='attrs-53fd2392-5fb4-46b1-a249-61e92efe5b55' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-53fd2392-5fb4-46b1-a249-61e92efe5b55' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dff0c61c-7726-4bdb-aa34-ffc54eaacf8f' class='xr-var-data-in' type='checkbox'><label for='data-dff0c61c-7726-4bdb-aa34-ffc54eaacf8f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([5000010, 4999950, 4999890, ..., 4890390, 4890330, 4890270],\n",
-       "      shape=(1830,))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-02dd1aed-c238-4599-9d23-86b49dd6b91a' class='xr-section-summary-in' type='checkbox'  checked><label for='section-02dd1aed-c238-4599-9d23-86b49dd6b91a' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>b00</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(305, 305), meta=np.ndarray&gt;</div><input id='attrs-64fee934-7bcf-4ccc-b54b-b3715ae6a383' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-64fee934-7bcf-4ccc-b54b-b3715ae6a383' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0b14cf1d-e12b-4c37-bd6f-cbe018595e06' class='xr-var-data-in' type='checkbox'><label for='data-0b14cf1d-e12b-4c37-bd6f-cbe018595e06' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;flag_masks&#x27;: [1, 2, 4], &#x27;flag_meanings&#x27;: [&#x27;OPAQUE&#x27;, &#x27;CIRRUS&#x27;, &#x27;SNOW_ICE&#x27;]}</dd><dt><span>dtype :</span></dt><dd>&lt;u1</dd><dt><span>flag_masks :</span></dt><dd>[1, 2, 4]</dd><dt><span>flag_meanings :</span></dt><dd>[&#x27;OPAQUE&#x27;, &#x27;CIRRUS&#x27;, &#x27;SNOW_ICE&#x27;]</dd><dt><span>long_name :</span></dt><dd>cloud classification mask provided in the final reference frame (ground geometry)</dd><dt><span>proj:bbox :</span></dt><dd>[300000.0, 4890240.0, 409800.0, 5000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32632</dd><dt><span>proj:shape :</span></dt><dd>[1830, 1830]</dd><dt><span>proj:transform :</span></dt><dd>[60.0, 0.0, 300000.0, 0.0, -60.0, 5000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 32N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,9],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32632&quot;]]</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    b00      (y, x) uint8 3MB dask.array&lt;chunksize=(305, 305), meta=np.ndarray&gt;</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>r60m</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-52ce81f1-d0f8-495f-b96f-7acb1f470fef' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-52ce81f1-d0f8-495f-b96f-7acb1f470fef' class='xr-section-summary'  title='Expand/collapse section'>Groups: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><div style='display: inline-grid; grid-template-columns: 100%; grid-column: 1 / -1'></div></div></li><li class='xr-section-item'><input id='section-9b1b3b85-30b9-49e4-bad6-31db892254cd' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-9b1b3b85-30b9-49e4-bad6-31db892254cd' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>y</span>: 1830</li><li><span class='xr-has-index'>x</span>: 1830</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-b53e9757-9ed2-48fc-bd32-13d11ef8fee5' class='xr-section-summary-in' type='checkbox'  checked><label for='section-b53e9757-9ed2-48fc-bd32-13d11ef8fee5' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>500010 500070 ... 609690 609750</div><input id='attrs-5356e2aa-d972-42fe-b481-c386b8be886d' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-5356e2aa-d972-42fe-b481-c386b8be886d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e9406932-04fd-4beb-9e40-5c4db2284336' class='xr-var-data-in' type='checkbox'><label for='data-e9406932-04fd-4beb-9e40-5c4db2284336' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([500010, 500070, 500130, ..., 609630, 609690, 609750], shape=(1830,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>8000010 7999950 ... 7890330 7890270</div><input id='attrs-0497459a-efc5-4b61-ad79-cf5dd81b3b5e' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-0497459a-efc5-4b61-ad79-cf5dd81b3b5e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4195c8fe-9c67-48e4-9c8f-e77fd136a00d' class='xr-var-data-in' type='checkbox'><label for='data-4195c8fe-9c67-48e4-9c8f-e77fd136a00d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([8000010, 7999950, 7999890, ..., 7890390, 7890330, 7890270],\n",
+       "      shape=(1830,))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-a2a7dc46-ca89-4ac0-a706-10a5156cee6f' class='xr-section-summary-in' type='checkbox'  checked><label for='section-a2a7dc46-ca89-4ac0-a706-10a5156cee6f' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>b00</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(305, 305), meta=np.ndarray&gt;</div><input id='attrs-42e4f80b-c07f-4168-9bfa-b790aeb30965' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-42e4f80b-c07f-4168-9bfa-b790aeb30965' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-db6783a7-4292-4fa7-8c86-2129682f5ee0' class='xr-var-data-in' type='checkbox'><label for='data-db6783a7-4292-4fa7-8c86-2129682f5ee0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;dtype&#x27;: &#x27;&lt;u1&#x27;, &#x27;flag_masks&#x27;: [1, 2, 4], &#x27;flag_meanings&#x27;: [&#x27;OPAQUE&#x27;, &#x27;CIRRUS&#x27;, &#x27;SNOW_ICE&#x27;], &#x27;long_name&#x27;: &#x27;cloud classification mask provided in the final reference frame (ground geometry)&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u1</dd><dt><span>flag_masks :</span></dt><dd>[1, 2, 4]</dd><dt><span>flag_meanings :</span></dt><dd>[&#x27;OPAQUE&#x27;, &#x27;CIRRUS&#x27;, &#x27;SNOW_ICE&#x27;]</dd><dt><span>long_name :</span></dt><dd>cloud classification mask provided in the final reference frame (ground geometry)</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 7890240.0, 609780.0, 8000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32625</dd><dt><span>proj:shape :</span></dt><dd>[1830, 1830]</dd><dt><span>proj:transform :</span></dt><dd>[60.0, 0.0, 499980.0, 0.0, -60.0, 8000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 25N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,-33],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32625&quot;]]</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -5010,7 +5010,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-2edadd75-b1a0-4172-b3e5-2b21673869c7' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-2edadd75-b1a0-4172-b3e5-2b21673869c7' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div></div></div></li><li class='xr-section-item'><input id='section-8fa957ca-dd6f-4971-8700-d13782af6ecc' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-8fa957ca-dd6f-4971-8700-d13782af6ecc' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-0f45b42e-1650-47ae-b342-6362e2d69638' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-0f45b42e-1650-47ae-b342-6362e2d69638' class='xr-section-summary'  title='Expand/collapse section'>Coordinates: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-dbb157c8-5ab8-4b25-bfc6-9978d5389ad3' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-dbb157c8-5ab8-4b25-bfc6-9978d5389ad3' class='xr-section-summary'  title='Expand/collapse section'>Data variables: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-6ba2fa7c-859a-44d0-964d-96cb515b8ffa' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-6ba2fa7c-859a-44d0-964d-96cb515b8ffa' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div></div></div></li><li class='xr-section-item'><input id='section-d6a23662-1957-4f8d-8183-61f4461c16b8' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-d6a23662-1957-4f8d-8183-61f4461c16b8' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-57491e76-2d54-47e0-9c2d-956ea81f78c6' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-57491e76-2d54-47e0-9c2d-956ea81f78c6' class='xr-section-summary'  title='Expand/collapse section'>Coordinates: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-5e6fad71-8000-4701-8c36-03d1b4309a79' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-5e6fad71-8000-4701-8c36-03d1b4309a79' class='xr-section-summary'  title='Expand/collapse section'>Data variables: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-32d8bbac-6a9a-4d5c-8f60-2dd1150f525a' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-32d8bbac-6a9a-4d5c-8f60-2dd1150f525a' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div><div style='display: inline-grid; grid-template-columns: 0px 20px auto; width: 100%;'><div style='grid-column-start: 1;border-right: 0.2em solid;border-color: var(--xr-border-color);height: 1.2em;width: 0px;'></div><div style='grid-column-start: 2;grid-row-start: 1;height: 1em;width: 20px;border-bottom: 0.2em solid;border-color: var(--xr-border-color);'></div><div style='grid-column-start: 3;'><div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
+       "</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-b71338a0-2e9f-48e9-9ed5-12f4351bde67' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-b71338a0-2e9f-48e9-9ed5-12f4351bde67' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div></div></div></li><li class='xr-section-item'><input id='section-a5c8bad7-5a5e-4227-8f89-9d65ff82e951' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-a5c8bad7-5a5e-4227-8f89-9d65ff82e951' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-7f2450dc-ece7-44b7-8587-d2630e1dd1ef' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-7f2450dc-ece7-44b7-8587-d2630e1dd1ef' class='xr-section-summary'  title='Expand/collapse section'>Coordinates: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-e1f594c0-a25f-4065-8634-60e8f02ab69b' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-e1f594c0-a25f-4065-8634-60e8f02ab69b' class='xr-section-summary'  title='Expand/collapse section'>Data variables: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-257eafaa-ad68-4646-a587-c3c5bdf102e9' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-257eafaa-ad68-4646-a587-c3c5bdf102e9' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div></div></div></li><li class='xr-section-item'><input id='section-b33a3ad7-7453-4111-80b9-b7eb4096a0cd' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-b33a3ad7-7453-4111-80b9-b7eb4096a0cd' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-400cf8e5-6f38-4aa9-987f-38825e9b07e3' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-400cf8e5-6f38-4aa9-987f-38825e9b07e3' class='xr-section-summary'  title='Expand/collapse section'>Coordinates: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-56f9185b-409d-4e38-bbcd-22244af43826' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-56f9185b-409d-4e38-bbcd-22244af43826' class='xr-section-summary'  title='Expand/collapse section'>Data variables: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-0b9022d8-ab12-4642-9991-b5c12c935c29' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-0b9022d8-ab12-4642-9991-b5c12c935c29' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div><div style='display: inline-grid; grid-template-columns: 0px 20px auto; width: 100%;'><div style='grid-column-start: 1;border-right: 0.2em solid;border-color: var(--xr-border-color);height: 1.2em;width: 0px;'></div><div style='grid-column-start: 2;grid-row-start: 1;height: 1em;width: 20px;border-bottom: 0.2em solid;border-color: var(--xr-border-color);'></div><div style='grid-column-start: 3;'><div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
        "<defs>\n",
        "<symbol id=\"icon-database\" viewBox=\"0 0 32 32\">\n",
        "<path d=\"M16 0c-8.837 0-16 2.239-16 5v4c0 2.761 7.163 5 16 5s16-2.239 16-5v-4c0-2.761-7.163-5-16-5z\"></path>\n",
@@ -5383,7 +5383,7 @@
        "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DatasetView&gt; Size: 0B\n",
        "Dimensions:  ()\n",
        "Data variables:\n",
-       "    *empty*</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>meteorology</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-321d87ce-255c-49df-be0e-12f3e8b4945b' class='xr-section-summary-in' type='checkbox'  ><label for='section-321d87ce-255c-49df-be0e-12f3e8b4945b' class='xr-section-summary' >Groups: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><div style='display: inline-grid; grid-template-columns: 100%; grid-column: 1 / -1'><div style='display: inline-grid; grid-template-columns: 0px 20px auto; width: 100%;'><div style='grid-column-start: 1;border-right: 0.2em solid;border-color: var(--xr-border-color);height: 100%;width: 0px;'></div><div style='grid-column-start: 2;grid-row-start: 1;height: 1em;width: 20px;border-bottom: 0.2em solid;border-color: var(--xr-border-color);'></div><div style='grid-column-start: 3;'><div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
+       "    *empty*</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>meteorology</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-804d1ad3-558f-4fc2-a171-6918ce6b8914' class='xr-section-summary-in' type='checkbox'  ><label for='section-804d1ad3-558f-4fc2-a171-6918ce6b8914' class='xr-section-summary' >Groups: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><div style='display: inline-grid; grid-template-columns: 100%; grid-column: 1 / -1'><div style='display: inline-grid; grid-template-columns: 0px 20px auto; width: 100%;'><div style='grid-column-start: 1;border-right: 0.2em solid;border-color: var(--xr-border-color);height: 100%;width: 0px;'></div><div style='grid-column-start: 2;grid-row-start: 1;height: 1em;width: 20px;border-bottom: 0.2em solid;border-color: var(--xr-border-color);'></div><div style='grid-column-start: 3;'><div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
        "<defs>\n",
        "<symbol id=\"icon-database\" viewBox=\"0 0 32 32\">\n",
        "<path d=\"M16 0c-8.837 0-16 2.239-16 5v4c0 2.761 7.163 5 16 5s16-2.239 16-5v-4c0-2.761-7.163-5-16-5z\"></path>\n",
@@ -5757,8 +5757,8 @@
        "Dimensions:        (latitude: 9, longitude: 9)\n",
        "Coordinates:\n",
        "    isobaricInhPa  float64 8B ...\n",
-       "  * latitude       (latitude) float64 72B 45.13 45.0 44.88 ... 44.4 44.28 44.16\n",
-       "  * longitude      (longitude) float64 72B 6.457 6.634 6.811 ... 7.695 7.872\n",
+       "  * latitude       (latitude) float64 72B 72.1 71.97 71.85 ... 71.34 71.22 71.09\n",
+       "  * longitude      (longitude) float64 72B -33.0 -32.62 -32.24 ... -30.34 -29.96\n",
        "    number         int64 8B ...\n",
        "    step           int64 8B ...\n",
        "    surface        float64 8B ...\n",
@@ -5782,9 +5782,9 @@
        "    GRIB_centreDescription:  European Centre for Medium-Range Weather Forecasts\n",
        "    GRIB_edition:            1\n",
        "    GRIB_subCentre:          0\n",
-       "    history:                 2025-02-27T07:57 GRIB to CDM+CF via cfgrib-0.9.1...\n",
-       "    institution:             European Centre for Medium-Range Weather Forecasts</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>cams</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-6a983cb7-a01f-4536-ae0d-a4cea2d0e160' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-6a983cb7-a01f-4536-ae0d-a4cea2d0e160' class='xr-section-summary'  title='Expand/collapse section'>Groups: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><div style='display: inline-grid; grid-template-columns: 100%; grid-column: 1 / -1'></div></div></li><li class='xr-section-item'><input id='section-6da70692-9875-4212-b6e6-af72952ebfa4' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-6da70692-9875-4212-b6e6-af72952ebfa4' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>latitude</span>: 9</li><li><span class='xr-has-index'>longitude</span>: 9</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-98e73165-2e2e-4ffe-bfaa-fc71614c5028' class='xr-section-summary-in' type='checkbox'  checked><label for='section-98e73165-2e2e-4ffe-bfaa-fc71614c5028' class='xr-section-summary' >Coordinates: <span>(8)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>isobaricInhPa</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-88400a8c-8b01-46f8-9d54-324ef935e17a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-88400a8c-8b01-46f8-9d54-324ef935e17a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-03c8d25c-1561-4087-a9f8-5c0111ff7cda' class='xr-var-data-in' type='checkbox'><label for='data-03c8d25c-1561-4087-a9f8-5c0111ff7cda' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>pressure</dd><dt><span>positive :</span></dt><dd>down</dd><dt><span>standard_name :</span></dt><dd>air_pressure</dd><dt><span>stored_direction :</span></dt><dd>decreasing</dd><dt><span>units :</span></dt><dd>hPa</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>latitude</span></div><div class='xr-var-dims'>(latitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>45.13 45.0 44.88 ... 44.28 44.16</div><input id='attrs-b824fe4b-fdca-4341-b37a-22cb42630ce9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b824fe4b-fdca-4341-b37a-22cb42630ce9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-43d5c171-41f7-486f-8c0a-2e8a4a7c46a1' class='xr-var-data-in' type='checkbox'><label for='data-43d5c171-41f7-486f-8c0a-2e8a4a7c46a1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>stored_direction :</span></dt><dd>decreasing</dd><dt><span>units :</span></dt><dd>degrees_north</dd></dl></div><div class='xr-var-data'><pre>array([45.126, 45.005, 44.884, 44.763, 44.642, 44.521, 44.4  , 44.279, 44.16 ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>longitude</span></div><div class='xr-var-dims'>(longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>6.457 6.634 6.811 ... 7.695 7.872</div><input id='attrs-b1c4fb4f-1274-495b-9303-dcd35f6bcd5c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b1c4fb4f-1274-495b-9303-dcd35f6bcd5c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a77b3be2-044c-4275-a212-0e7ff8051d92' class='xr-var-data-in' type='checkbox'><label for='data-a77b3be2-044c-4275-a212-0e7ff8051d92' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd></dl></div><div class='xr-var-data'><pre>array([6.457   , 6.633875, 6.81075 , 6.987625, 7.1645  , 7.341375, 7.51825 ,\n",
-       "       7.695125, 7.872   ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>number</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-15f63ada-0731-4223-b2d2-0d4b02c9ff7d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-15f63ada-0731-4223-b2d2-0d4b02c9ff7d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d407ea61-0ca6-41e1-a2ff-a7992824e4e9' class='xr-var-data-in' type='checkbox'><label for='data-d407ea61-0ca6-41e1-a2ff-a7992824e4e9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>ensemble member numerical id</dd><dt><span>standard_name :</span></dt><dd>realization</dd><dt><span>units :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=int64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>step</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-34e31d34-a327-498f-ac0d-874fd61c3a86' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-34e31d34-a327-498f-ac0d-874fd61c3a86' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fd879e58-9c5d-49fc-b02e-caca6ca57d12' class='xr-var-data-in' type='checkbox'><label for='data-fd879e58-9c5d-49fc-b02e-caca6ca57d12' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>time since forecast_reference_time</dd><dt><span>standard_name :</span></dt><dd>forecast_period</dd><dt><span>units :</span></dt><dd>minutes</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=int64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>surface</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-2ea30f1e-9e84-41de-b531-908cc2e6ec9d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2ea30f1e-9e84-41de-b531-908cc2e6ec9d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f6e64ba0-654d-411d-ae6a-e184b7cd8e11' class='xr-var-data-in' type='checkbox'><label for='data-f6e64ba0-654d-411d-ae6a-e184b7cd8e11' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>original GRIB coordinate for key: level(surface)</dd><dt><span>units :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>time</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-e3e2026a-8604-4f3b-99e3-694369c4b514' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e3e2026a-8604-4f3b-99e3-694369c4b514' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-49bb77d3-b86a-428f-bf03-c24691a6d4d5' class='xr-var-data-in' type='checkbox'><label for='data-49bb77d3-b86a-428f-bf03-c24691a6d4d5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;_eopf_decode_datetime64&#x27;: &#x27;datetime64[ns]&#x27;}</dd><dt><span>long_name :</span></dt><dd>initial time of forecast</dd><dt><span>standard_name :</span></dt><dd>forecast_reference_time</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=datetime64[ns]]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>valid_time</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-81e3201d-a614-46df-b30a-54af59602ea3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-81e3201d-a614-46df-b30a-54af59602ea3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-02ad806e-1e85-422f-a9d5-c2510ec5b755' class='xr-var-data-in' type='checkbox'><label for='data-02ad806e-1e85-422f-a9d5-c2510ec5b755' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;_eopf_decode_datetime64&#x27;: &#x27;datetime64[ns]&#x27;}</dd><dt><span>long_name :</span></dt><dd>time</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=datetime64[ns]]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-85f02d12-cb6d-417b-ad45-6b3ad57accb1' class='xr-section-summary-in' type='checkbox'  checked><label for='section-85f02d12-cb6d-417b-ad45-6b3ad57accb1' class='xr-section-summary' >Data variables: <span>(11)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>aod1240</span></div><div class='xr-var-dims'>(latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9, 9), meta=np.ndarray&gt;</div><input id='attrs-f6978062-c64a-4815-9f42-23445bf8b890' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f6978062-c64a-4815-9f42-23445bf8b890' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cf990318-e63f-4ea2-ac2d-05f5ba77b23d' class='xr-var-data-in' type='checkbox'><label for='data-cf990318-e63f-4ea2-ac2d-05f5ba77b23d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>9</dd><dt><span>GRIB_Ny :</span></dt><dd>9</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>aod1240</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.177</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.121</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>45.126</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>44.16</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>6.457</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>7.872</dd><dt><span>GRIB_missingValue :</span></dt><dd>3.4028234663852886e+38</dd><dt><span>GRIB_name :</span></dt><dd>Total Aerosol Optical Depth at 1240nm</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>81</dd><dt><span>GRIB_paramId :</span></dt><dd>210216</dd><dt><span>GRIB_shortName :</span></dt><dd>aod1240</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>0</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>~</dd><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;number&#x27;, &#x27;time&#x27;, &#x27;step&#x27;, &#x27;surface&#x27;, &#x27;latitude&#x27;, &#x27;longitude&#x27;, &#x27;valid_time&#x27;, &#x27;isobaricInhPa&#x27;], &#x27;dimensions&#x27;: [&#x27;latitude&#x27;, &#x27;longitude&#x27;], &#x27;units&#x27;: &#x27;~&#x27;}</dd><dt><span>long_name :</span></dt><dd>Total Aerosol Optical Depth at 1240nm</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>~</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    history:                 2025-04-16T02:40 GRIB to CDM+CF via cfgrib-0.9.1...\n",
+       "    institution:             European Centre for Medium-Range Weather Forecasts</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>cams</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-edf47713-31a8-41b5-900d-b13f0a4fc3dc' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-edf47713-31a8-41b5-900d-b13f0a4fc3dc' class='xr-section-summary'  title='Expand/collapse section'>Groups: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><div style='display: inline-grid; grid-template-columns: 100%; grid-column: 1 / -1'></div></div></li><li class='xr-section-item'><input id='section-3dbc1b4f-7d50-429a-8085-ad7d27424c7e' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-3dbc1b4f-7d50-429a-8085-ad7d27424c7e' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>latitude</span>: 9</li><li><span class='xr-has-index'>longitude</span>: 9</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-25ed55c7-f567-4887-9993-92705014c6af' class='xr-section-summary-in' type='checkbox'  checked><label for='section-25ed55c7-f567-4887-9993-92705014c6af' class='xr-section-summary' >Coordinates: <span>(8)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>isobaricInhPa</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-ad247ee7-10fe-4bc2-a6d3-55a0dcd9e2c4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ad247ee7-10fe-4bc2-a6d3-55a0dcd9e2c4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6bc64129-682a-4b01-a073-0d3773d02733' class='xr-var-data-in' type='checkbox'><label for='data-6bc64129-682a-4b01-a073-0d3773d02733' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>pressure</dd><dt><span>positive :</span></dt><dd>down</dd><dt><span>standard_name :</span></dt><dd>air_pressure</dd><dt><span>stored_direction :</span></dt><dd>decreasing</dd><dt><span>units :</span></dt><dd>hPa</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>latitude</span></div><div class='xr-var-dims'>(latitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>72.1 71.97 71.85 ... 71.22 71.09</div><input id='attrs-c8fc2c40-e590-4875-8792-9b562d75b87c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c8fc2c40-e590-4875-8792-9b562d75b87c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a1c61a20-6c45-4e28-866b-6c51ab52f933' class='xr-var-data-in' type='checkbox'><label for='data-a1c61a20-6c45-4e28-866b-6c51ab52f933' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>stored_direction :</span></dt><dd>decreasing</dd><dt><span>units :</span></dt><dd>degrees_north</dd></dl></div><div class='xr-var-data'><pre>array([72.1  , 71.974, 71.848, 71.722, 71.596, 71.47 , 71.344, 71.218, 71.09 ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>longitude</span></div><div class='xr-var-dims'>(longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-33.0 -32.62 ... -30.34 -29.96</div><input id='attrs-63c60778-76a3-4454-acd5-07f342ea2e83' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-63c60778-76a3-4454-acd5-07f342ea2e83' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8e7151f8-044e-4379-907f-56b9ba0d1fb9' class='xr-var-data-in' type='checkbox'><label for='data-8e7151f8-044e-4379-907f-56b9ba0d1fb9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd></dl></div><div class='xr-var-data'><pre>array([-33.001   , -32.621375, -32.24175 , -31.862125, -31.4825  , -31.102875,\n",
+       "       -30.72325 , -30.343625, -29.964   ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>number</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-17f5d6c1-5162-41e9-9b85-b4e440873aef' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-17f5d6c1-5162-41e9-9b85-b4e440873aef' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-45d772d4-bc68-4b18-9937-1c33b701a735' class='xr-var-data-in' type='checkbox'><label for='data-45d772d4-bc68-4b18-9937-1c33b701a735' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>ensemble member numerical id</dd><dt><span>standard_name :</span></dt><dd>realization</dd><dt><span>units :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=int64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>step</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-373e8fda-8b6a-404f-963c-58543516abeb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-373e8fda-8b6a-404f-963c-58543516abeb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7feb0be7-fbd7-4b74-a504-2e68b6baa4ba' class='xr-var-data-in' type='checkbox'><label for='data-7feb0be7-fbd7-4b74-a504-2e68b6baa4ba' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>time since forecast_reference_time</dd><dt><span>standard_name :</span></dt><dd>forecast_period</dd><dt><span>units :</span></dt><dd>nanoseconds</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=int64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>surface</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-662233fa-09c0-410d-9975-6660781cbeb6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-662233fa-09c0-410d-9975-6660781cbeb6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-19341bc3-d2ad-4e33-ade9-e006f6765612' class='xr-var-data-in' type='checkbox'><label for='data-19341bc3-d2ad-4e33-ade9-e006f6765612' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>original GRIB coordinate for key: level(surface)</dd><dt><span>units :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>time</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-d504dae1-ef00-4082-b3ab-f2c9b7ef23dd' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d504dae1-ef00-4082-b3ab-f2c9b7ef23dd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9db50659-c472-4312-a212-f9648ed81a7a' class='xr-var-data-in' type='checkbox'><label for='data-9db50659-c472-4312-a212-f9648ed81a7a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>initial time of forecast</dd><dt><span>standard_name :</span></dt><dd>forecast_reference_time</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=datetime64[ns]]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>valid_time</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-a456a46e-30df-4f43-bcd4-cb5d379f9d74' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a456a46e-30df-4f43-bcd4-cb5d379f9d74' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-88642597-a1b4-48e5-ac74-812b3b84d2e5' class='xr-var-data-in' type='checkbox'><label for='data-88642597-a1b4-48e5-ac74-812b3b84d2e5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>time</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=datetime64[ns]]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-ce745de5-1a1b-4b11-915c-c40dfa3dbc83' class='xr-section-summary-in' type='checkbox'  checked><label for='section-ce745de5-1a1b-4b11-915c-c40dfa3dbc83' class='xr-section-summary' >Data variables: <span>(11)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>aod1240</span></div><div class='xr-var-dims'>(latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9, 9), meta=np.ndarray&gt;</div><input id='attrs-a748adaf-fbea-4955-9f1c-4ac4984457cb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a748adaf-fbea-4955-9f1c-4ac4984457cb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-450fe05d-6b06-4a8e-ab94-5927ec6edf1c' class='xr-var-data-in' type='checkbox'><label for='data-450fe05d-6b06-4a8e-ab94-5927ec6edf1c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>9</dd><dt><span>GRIB_Ny :</span></dt><dd>9</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>aod1240</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.38</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.126</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>72.1</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>71.09</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-33.001</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-29.964</dd><dt><span>GRIB_missingValue :</span></dt><dd>3.4028234663852886e+38</dd><dt><span>GRIB_name :</span></dt><dd>Total Aerosol Optical Depth at 1240nm</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>81</dd><dt><span>GRIB_paramId :</span></dt><dd>210216</dd><dt><span>GRIB_shortName :</span></dt><dd>aod1240</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>0</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>~</dd><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;number&#x27;, &#x27;time&#x27;, &#x27;step&#x27;, &#x27;surface&#x27;, &#x27;latitude&#x27;, &#x27;longitude&#x27;, &#x27;valid_time&#x27;, &#x27;isobaricInhPa&#x27;], &#x27;dimensions&#x27;: [&#x27;latitude&#x27;, &#x27;longitude&#x27;], &#x27;long_name&#x27;: &#x27;Total Aerosol Optical Depth at 1240nm&#x27;, &#x27;standard_name&#x27;: &#x27;unknown&#x27;, &#x27;units&#x27;: &#x27;~&#x27;}</dd><dt><span>long_name :</span></dt><dd>Total Aerosol Optical Depth at 1240nm</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>~</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -5839,7 +5839,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>aod469</span></div><div class='xr-var-dims'>(latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9, 9), meta=np.ndarray&gt;</div><input id='attrs-8865dc6a-f0f8-44f2-a3ad-6b589783266e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8865dc6a-f0f8-44f2-a3ad-6b589783266e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f1bb7a8b-d601-44cf-8afe-19a78a5c8883' class='xr-var-data-in' type='checkbox'><label for='data-f1bb7a8b-d601-44cf-8afe-19a78a5c8883' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>9</dd><dt><span>GRIB_Ny :</span></dt><dd>9</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>aod469</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.177</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.121</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>45.126</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>44.16</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>6.457</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>7.872</dd><dt><span>GRIB_missingValue :</span></dt><dd>3.4028234663852886e+38</dd><dt><span>GRIB_name :</span></dt><dd>Total Aerosol Optical Depth at 469nm</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>81</dd><dt><span>GRIB_paramId :</span></dt><dd>210213</dd><dt><span>GRIB_shortName :</span></dt><dd>aod469</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>0</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>~</dd><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;number&#x27;, &#x27;time&#x27;, &#x27;step&#x27;, &#x27;surface&#x27;, &#x27;latitude&#x27;, &#x27;longitude&#x27;, &#x27;valid_time&#x27;, &#x27;isobaricInhPa&#x27;], &#x27;dimensions&#x27;: [&#x27;latitude&#x27;, &#x27;longitude&#x27;], &#x27;units&#x27;: &#x27;~&#x27;}</dd><dt><span>long_name :</span></dt><dd>Total Aerosol Optical Depth at 469nm</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>~</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>aod469</span></div><div class='xr-var-dims'>(latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9, 9), meta=np.ndarray&gt;</div><input id='attrs-b2260bde-9d90-42b6-8ef9-2a169dfe4cdc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b2260bde-9d90-42b6-8ef9-2a169dfe4cdc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5bd31c51-6cd7-47cf-91ff-27867008cf39' class='xr-var-data-in' type='checkbox'><label for='data-5bd31c51-6cd7-47cf-91ff-27867008cf39' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>9</dd><dt><span>GRIB_Ny :</span></dt><dd>9</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>aod469</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.38</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.126</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>72.1</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>71.09</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-33.001</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-29.964</dd><dt><span>GRIB_missingValue :</span></dt><dd>3.4028234663852886e+38</dd><dt><span>GRIB_name :</span></dt><dd>Total Aerosol Optical Depth at 469nm</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>81</dd><dt><span>GRIB_paramId :</span></dt><dd>210213</dd><dt><span>GRIB_shortName :</span></dt><dd>aod469</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>0</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>~</dd><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;number&#x27;, &#x27;time&#x27;, &#x27;step&#x27;, &#x27;surface&#x27;, &#x27;latitude&#x27;, &#x27;longitude&#x27;, &#x27;valid_time&#x27;, &#x27;isobaricInhPa&#x27;], &#x27;dimensions&#x27;: [&#x27;latitude&#x27;, &#x27;longitude&#x27;], &#x27;long_name&#x27;: &#x27;Total Aerosol Optical Depth at 469nm&#x27;, &#x27;standard_name&#x27;: &#x27;unknown&#x27;, &#x27;units&#x27;: &#x27;~&#x27;}</dd><dt><span>long_name :</span></dt><dd>Total Aerosol Optical Depth at 469nm</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>~</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -5894,7 +5894,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>aod550</span></div><div class='xr-var-dims'>(latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9, 9), meta=np.ndarray&gt;</div><input id='attrs-aba7e07b-b2f5-41cc-bfed-ddddf0bd30fe' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-aba7e07b-b2f5-41cc-bfed-ddddf0bd30fe' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-998ffc5a-d10b-40d5-bdbd-7c5eb4431a91' class='xr-var-data-in' type='checkbox'><label for='data-998ffc5a-d10b-40d5-bdbd-7c5eb4431a91' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>9</dd><dt><span>GRIB_Ny :</span></dt><dd>9</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>aod550</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.177</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.121</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>45.126</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>44.16</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>6.457</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>7.872</dd><dt><span>GRIB_missingValue :</span></dt><dd>3.4028234663852886e+38</dd><dt><span>GRIB_name :</span></dt><dd>Total Aerosol Optical Depth at 550nm</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>81</dd><dt><span>GRIB_paramId :</span></dt><dd>210207</dd><dt><span>GRIB_shortName :</span></dt><dd>aod550</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>0</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>~</dd><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;number&#x27;, &#x27;time&#x27;, &#x27;step&#x27;, &#x27;surface&#x27;, &#x27;latitude&#x27;, &#x27;longitude&#x27;, &#x27;valid_time&#x27;, &#x27;isobaricInhPa&#x27;], &#x27;dimensions&#x27;: [&#x27;latitude&#x27;, &#x27;longitude&#x27;], &#x27;units&#x27;: &#x27;~&#x27;}</dd><dt><span>long_name :</span></dt><dd>Total Aerosol Optical Depth at 550nm</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>~</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>aod550</span></div><div class='xr-var-dims'>(latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9, 9), meta=np.ndarray&gt;</div><input id='attrs-3ce8fd2b-fda5-4577-a16c-7167812c2132' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3ce8fd2b-fda5-4577-a16c-7167812c2132' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cc6ec421-a6f6-4a6a-a565-325951ef7ae6' class='xr-var-data-in' type='checkbox'><label for='data-cc6ec421-a6f6-4a6a-a565-325951ef7ae6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>9</dd><dt><span>GRIB_Ny :</span></dt><dd>9</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>aod550</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.38</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.126</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>72.1</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>71.09</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-33.001</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-29.964</dd><dt><span>GRIB_missingValue :</span></dt><dd>3.4028234663852886e+38</dd><dt><span>GRIB_name :</span></dt><dd>Total Aerosol Optical Depth at 550nm</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>81</dd><dt><span>GRIB_paramId :</span></dt><dd>210207</dd><dt><span>GRIB_shortName :</span></dt><dd>aod550</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>0</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>~</dd><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;number&#x27;, &#x27;time&#x27;, &#x27;step&#x27;, &#x27;surface&#x27;, &#x27;latitude&#x27;, &#x27;longitude&#x27;, &#x27;valid_time&#x27;, &#x27;isobaricInhPa&#x27;], &#x27;dimensions&#x27;: [&#x27;latitude&#x27;, &#x27;longitude&#x27;], &#x27;long_name&#x27;: &#x27;Total Aerosol Optical Depth at 550nm&#x27;, &#x27;standard_name&#x27;: &#x27;unknown&#x27;, &#x27;units&#x27;: &#x27;~&#x27;}</dd><dt><span>long_name :</span></dt><dd>Total Aerosol Optical Depth at 550nm</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>~</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -5949,7 +5949,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>aod670</span></div><div class='xr-var-dims'>(latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9, 9), meta=np.ndarray&gt;</div><input id='attrs-4c060b3e-ab5c-4219-a113-7cb92ced8a64' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4c060b3e-ab5c-4219-a113-7cb92ced8a64' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ac1a8070-4bda-4075-aa06-7d2144466a59' class='xr-var-data-in' type='checkbox'><label for='data-ac1a8070-4bda-4075-aa06-7d2144466a59' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>9</dd><dt><span>GRIB_Ny :</span></dt><dd>9</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>aod670</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.177</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.121</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>45.126</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>44.16</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>6.457</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>7.872</dd><dt><span>GRIB_missingValue :</span></dt><dd>3.4028234663852886e+38</dd><dt><span>GRIB_name :</span></dt><dd>Total Aerosol Optical Depth at 670nm</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>81</dd><dt><span>GRIB_paramId :</span></dt><dd>210214</dd><dt><span>GRIB_shortName :</span></dt><dd>aod670</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>0</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>~</dd><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;number&#x27;, &#x27;time&#x27;, &#x27;step&#x27;, &#x27;surface&#x27;, &#x27;latitude&#x27;, &#x27;longitude&#x27;, &#x27;valid_time&#x27;, &#x27;isobaricInhPa&#x27;], &#x27;dimensions&#x27;: [&#x27;latitude&#x27;, &#x27;longitude&#x27;], &#x27;units&#x27;: &#x27;~&#x27;}</dd><dt><span>long_name :</span></dt><dd>Total Aerosol Optical Depth at 670nm</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>~</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>aod670</span></div><div class='xr-var-dims'>(latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9, 9), meta=np.ndarray&gt;</div><input id='attrs-3c4658d9-9d7b-498d-9f70-f079158bcf4c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3c4658d9-9d7b-498d-9f70-f079158bcf4c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b0254f09-3991-4167-b490-2f47d4662c4d' class='xr-var-data-in' type='checkbox'><label for='data-b0254f09-3991-4167-b490-2f47d4662c4d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>9</dd><dt><span>GRIB_Ny :</span></dt><dd>9</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>aod670</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.38</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.126</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>72.1</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>71.09</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-33.001</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-29.964</dd><dt><span>GRIB_missingValue :</span></dt><dd>3.4028234663852886e+38</dd><dt><span>GRIB_name :</span></dt><dd>Total Aerosol Optical Depth at 670nm</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>81</dd><dt><span>GRIB_paramId :</span></dt><dd>210214</dd><dt><span>GRIB_shortName :</span></dt><dd>aod670</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>0</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>~</dd><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;number&#x27;, &#x27;time&#x27;, &#x27;step&#x27;, &#x27;surface&#x27;, &#x27;latitude&#x27;, &#x27;longitude&#x27;, &#x27;valid_time&#x27;, &#x27;isobaricInhPa&#x27;], &#x27;dimensions&#x27;: [&#x27;latitude&#x27;, &#x27;longitude&#x27;], &#x27;long_name&#x27;: &#x27;Total Aerosol Optical Depth at 670nm&#x27;, &#x27;standard_name&#x27;: &#x27;unknown&#x27;, &#x27;units&#x27;: &#x27;~&#x27;}</dd><dt><span>long_name :</span></dt><dd>Total Aerosol Optical Depth at 670nm</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>~</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -6004,7 +6004,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>aod865</span></div><div class='xr-var-dims'>(latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9, 9), meta=np.ndarray&gt;</div><input id='attrs-a76db540-8515-4dfc-8b42-f729a2da54c2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a76db540-8515-4dfc-8b42-f729a2da54c2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1597894f-fcbe-4b16-ad18-6fd3c2afb21b' class='xr-var-data-in' type='checkbox'><label for='data-1597894f-fcbe-4b16-ad18-6fd3c2afb21b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>9</dd><dt><span>GRIB_Ny :</span></dt><dd>9</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>aod865</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.177</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.121</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>45.126</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>44.16</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>6.457</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>7.872</dd><dt><span>GRIB_missingValue :</span></dt><dd>3.4028234663852886e+38</dd><dt><span>GRIB_name :</span></dt><dd>Total Aerosol Optical Depth at 865nm</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>81</dd><dt><span>GRIB_paramId :</span></dt><dd>210215</dd><dt><span>GRIB_shortName :</span></dt><dd>aod865</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>0</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>~</dd><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;number&#x27;, &#x27;time&#x27;, &#x27;step&#x27;, &#x27;surface&#x27;, &#x27;latitude&#x27;, &#x27;longitude&#x27;, &#x27;valid_time&#x27;, &#x27;isobaricInhPa&#x27;], &#x27;dimensions&#x27;: [&#x27;latitude&#x27;, &#x27;longitude&#x27;], &#x27;units&#x27;: &#x27;~&#x27;}</dd><dt><span>long_name :</span></dt><dd>Total Aerosol Optical Depth at 865nm</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>~</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>aod865</span></div><div class='xr-var-dims'>(latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9, 9), meta=np.ndarray&gt;</div><input id='attrs-8507586a-fff7-49eb-80b8-b4a5ba0d92e3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8507586a-fff7-49eb-80b8-b4a5ba0d92e3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-76adfae0-5e20-4afc-9307-a09ce91d07f8' class='xr-var-data-in' type='checkbox'><label for='data-76adfae0-5e20-4afc-9307-a09ce91d07f8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>9</dd><dt><span>GRIB_Ny :</span></dt><dd>9</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>aod865</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.38</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.126</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>72.1</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>71.09</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-33.001</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-29.964</dd><dt><span>GRIB_missingValue :</span></dt><dd>3.4028234663852886e+38</dd><dt><span>GRIB_name :</span></dt><dd>Total Aerosol Optical Depth at 865nm</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>81</dd><dt><span>GRIB_paramId :</span></dt><dd>210215</dd><dt><span>GRIB_shortName :</span></dt><dd>aod865</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>0</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>~</dd><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;number&#x27;, &#x27;time&#x27;, &#x27;step&#x27;, &#x27;surface&#x27;, &#x27;latitude&#x27;, &#x27;longitude&#x27;, &#x27;valid_time&#x27;, &#x27;isobaricInhPa&#x27;], &#x27;dimensions&#x27;: [&#x27;latitude&#x27;, &#x27;longitude&#x27;], &#x27;long_name&#x27;: &#x27;Total Aerosol Optical Depth at 865nm&#x27;, &#x27;standard_name&#x27;: &#x27;unknown&#x27;, &#x27;units&#x27;: &#x27;~&#x27;}</dd><dt><span>long_name :</span></dt><dd>Total Aerosol Optical Depth at 865nm</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>~</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -6059,7 +6059,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>bcaod550</span></div><div class='xr-var-dims'>(latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9, 9), meta=np.ndarray&gt;</div><input id='attrs-8cd71722-30b7-412a-ab7e-394a2fd1913d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8cd71722-30b7-412a-ab7e-394a2fd1913d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-16161731-d0ea-4b83-a17e-d354741ceef7' class='xr-var-data-in' type='checkbox'><label for='data-16161731-d0ea-4b83-a17e-d354741ceef7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>9</dd><dt><span>GRIB_Ny :</span></dt><dd>9</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>bcaod550</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.177</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.121</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>45.126</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>44.16</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>6.457</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>7.872</dd><dt><span>GRIB_missingValue :</span></dt><dd>3.4028234663852886e+38</dd><dt><span>GRIB_name :</span></dt><dd>Black Carbon Aerosol Optical Depth at 550nm</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>81</dd><dt><span>GRIB_paramId :</span></dt><dd>210211</dd><dt><span>GRIB_shortName :</span></dt><dd>bcaod550</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>0</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>~</dd><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;number&#x27;, &#x27;time&#x27;, &#x27;step&#x27;, &#x27;surface&#x27;, &#x27;latitude&#x27;, &#x27;longitude&#x27;, &#x27;valid_time&#x27;, &#x27;isobaricInhPa&#x27;], &#x27;dimensions&#x27;: [&#x27;latitude&#x27;, &#x27;longitude&#x27;], &#x27;units&#x27;: &#x27;~&#x27;}</dd><dt><span>long_name :</span></dt><dd>Black Carbon Aerosol Optical Depth at 550nm</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>~</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>bcaod550</span></div><div class='xr-var-dims'>(latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9, 9), meta=np.ndarray&gt;</div><input id='attrs-76a00963-8596-49ca-b374-e2b0d2fc8382' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-76a00963-8596-49ca-b374-e2b0d2fc8382' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c628fecb-f51e-443f-b3cd-5cea7a55e105' class='xr-var-data-in' type='checkbox'><label for='data-c628fecb-f51e-443f-b3cd-5cea7a55e105' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>9</dd><dt><span>GRIB_Ny :</span></dt><dd>9</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>bcaod550</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.38</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.126</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>72.1</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>71.09</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-33.001</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-29.964</dd><dt><span>GRIB_missingValue :</span></dt><dd>3.4028234663852886e+38</dd><dt><span>GRIB_name :</span></dt><dd>Black Carbon Aerosol Optical Depth at 550nm</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>81</dd><dt><span>GRIB_paramId :</span></dt><dd>210211</dd><dt><span>GRIB_shortName :</span></dt><dd>bcaod550</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>0</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>~</dd><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;number&#x27;, &#x27;time&#x27;, &#x27;step&#x27;, &#x27;surface&#x27;, &#x27;latitude&#x27;, &#x27;longitude&#x27;, &#x27;valid_time&#x27;, &#x27;isobaricInhPa&#x27;], &#x27;dimensions&#x27;: [&#x27;latitude&#x27;, &#x27;longitude&#x27;], &#x27;long_name&#x27;: &#x27;Black Carbon Aerosol Optical Depth at 550nm&#x27;, &#x27;standard_name&#x27;: &#x27;unknown&#x27;, &#x27;units&#x27;: &#x27;~&#x27;}</dd><dt><span>long_name :</span></dt><dd>Black Carbon Aerosol Optical Depth at 550nm</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>~</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -6114,7 +6114,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>duaod550</span></div><div class='xr-var-dims'>(latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9, 9), meta=np.ndarray&gt;</div><input id='attrs-98cd51ae-9222-4a5d-9abb-bbdea7be7f6c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-98cd51ae-9222-4a5d-9abb-bbdea7be7f6c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a8699f5f-8e1c-4900-80c6-aad3b4d4719c' class='xr-var-data-in' type='checkbox'><label for='data-a8699f5f-8e1c-4900-80c6-aad3b4d4719c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>9</dd><dt><span>GRIB_Ny :</span></dt><dd>9</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>duaod550</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.177</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.121</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>45.126</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>44.16</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>6.457</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>7.872</dd><dt><span>GRIB_missingValue :</span></dt><dd>3.4028234663852886e+38</dd><dt><span>GRIB_name :</span></dt><dd>Dust Aerosol Optical Depth at 550nm</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>81</dd><dt><span>GRIB_paramId :</span></dt><dd>210209</dd><dt><span>GRIB_shortName :</span></dt><dd>duaod550</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>0</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>isobaricInhPa</dd><dt><span>GRIB_units :</span></dt><dd>~</dd><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;number&#x27;, &#x27;time&#x27;, &#x27;step&#x27;, &#x27;surface&#x27;, &#x27;latitude&#x27;, &#x27;longitude&#x27;, &#x27;valid_time&#x27;, &#x27;isobaricInhPa&#x27;], &#x27;dimensions&#x27;: [&#x27;latitude&#x27;, &#x27;longitude&#x27;], &#x27;units&#x27;: &#x27;~&#x27;}</dd><dt><span>long_name :</span></dt><dd>Dust Aerosol Optical Depth at 550nm</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>~</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>duaod550</span></div><div class='xr-var-dims'>(latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9, 9), meta=np.ndarray&gt;</div><input id='attrs-931b8507-4076-4a65-8720-bfe0d7294e68' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-931b8507-4076-4a65-8720-bfe0d7294e68' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c7cdd622-a294-49bf-9347-05d72186993d' class='xr-var-data-in' type='checkbox'><label for='data-c7cdd622-a294-49bf-9347-05d72186993d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>9</dd><dt><span>GRIB_Ny :</span></dt><dd>9</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>duaod550</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.38</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.126</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>72.1</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>71.09</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-33.001</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-29.964</dd><dt><span>GRIB_missingValue :</span></dt><dd>3.4028234663852886e+38</dd><dt><span>GRIB_name :</span></dt><dd>Dust Aerosol Optical Depth at 550nm</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>81</dd><dt><span>GRIB_paramId :</span></dt><dd>210209</dd><dt><span>GRIB_shortName :</span></dt><dd>duaod550</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>0</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>isobaricInhPa</dd><dt><span>GRIB_units :</span></dt><dd>~</dd><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;number&#x27;, &#x27;time&#x27;, &#x27;step&#x27;, &#x27;surface&#x27;, &#x27;latitude&#x27;, &#x27;longitude&#x27;, &#x27;valid_time&#x27;, &#x27;isobaricInhPa&#x27;], &#x27;dimensions&#x27;: [&#x27;latitude&#x27;, &#x27;longitude&#x27;], &#x27;long_name&#x27;: &#x27;Dust Aerosol Optical Depth at 550nm&#x27;, &#x27;standard_name&#x27;: &#x27;unknown&#x27;, &#x27;units&#x27;: &#x27;~&#x27;}</dd><dt><span>long_name :</span></dt><dd>Dust Aerosol Optical Depth at 550nm</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>~</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -6169,7 +6169,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>omaod550</span></div><div class='xr-var-dims'>(latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9, 9), meta=np.ndarray&gt;</div><input id='attrs-d7001771-7059-4293-861b-56f595e9dc3a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d7001771-7059-4293-861b-56f595e9dc3a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-aedf2059-9eb3-4323-a75d-db9e8b5b92a3' class='xr-var-data-in' type='checkbox'><label for='data-aedf2059-9eb3-4323-a75d-db9e8b5b92a3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>9</dd><dt><span>GRIB_Ny :</span></dt><dd>9</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>omaod550</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.177</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.121</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>45.126</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>44.16</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>6.457</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>7.872</dd><dt><span>GRIB_missingValue :</span></dt><dd>3.4028234663852886e+38</dd><dt><span>GRIB_name :</span></dt><dd>Organic Matter Aerosol Optical Depth at 550nm</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>81</dd><dt><span>GRIB_paramId :</span></dt><dd>210210</dd><dt><span>GRIB_shortName :</span></dt><dd>omaod550</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>0</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>~</dd><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;number&#x27;, &#x27;time&#x27;, &#x27;step&#x27;, &#x27;surface&#x27;, &#x27;latitude&#x27;, &#x27;longitude&#x27;, &#x27;valid_time&#x27;, &#x27;isobaricInhPa&#x27;], &#x27;dimensions&#x27;: [&#x27;latitude&#x27;, &#x27;longitude&#x27;], &#x27;units&#x27;: &#x27;~&#x27;}</dd><dt><span>long_name :</span></dt><dd>Organic Matter Aerosol Optical Depth at 550nm</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>~</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>omaod550</span></div><div class='xr-var-dims'>(latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9, 9), meta=np.ndarray&gt;</div><input id='attrs-6dae27a2-d343-4c9d-bd25-bb0fb1ec085e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6dae27a2-d343-4c9d-bd25-bb0fb1ec085e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-caa351a8-0684-4606-beb3-9618910fd82f' class='xr-var-data-in' type='checkbox'><label for='data-caa351a8-0684-4606-beb3-9618910fd82f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>9</dd><dt><span>GRIB_Ny :</span></dt><dd>9</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>omaod550</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.38</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.126</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>72.1</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>71.09</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-33.001</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-29.964</dd><dt><span>GRIB_missingValue :</span></dt><dd>3.4028234663852886e+38</dd><dt><span>GRIB_name :</span></dt><dd>Organic Matter Aerosol Optical Depth at 550nm</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>81</dd><dt><span>GRIB_paramId :</span></dt><dd>210210</dd><dt><span>GRIB_shortName :</span></dt><dd>omaod550</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>0</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>~</dd><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;number&#x27;, &#x27;time&#x27;, &#x27;step&#x27;, &#x27;surface&#x27;, &#x27;latitude&#x27;, &#x27;longitude&#x27;, &#x27;valid_time&#x27;, &#x27;isobaricInhPa&#x27;], &#x27;dimensions&#x27;: [&#x27;latitude&#x27;, &#x27;longitude&#x27;], &#x27;long_name&#x27;: &#x27;Organic Matter Aerosol Optical Depth at 550nm&#x27;, &#x27;standard_name&#x27;: &#x27;unknown&#x27;, &#x27;units&#x27;: &#x27;~&#x27;}</dd><dt><span>long_name :</span></dt><dd>Organic Matter Aerosol Optical Depth at 550nm</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>~</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -6224,7 +6224,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ssaod550</span></div><div class='xr-var-dims'>(latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9, 9), meta=np.ndarray&gt;</div><input id='attrs-c9b87423-bb16-4f2a-ab31-50659848880c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c9b87423-bb16-4f2a-ab31-50659848880c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e31a6c32-8b39-41b0-b563-3faa1686c6ca' class='xr-var-data-in' type='checkbox'><label for='data-e31a6c32-8b39-41b0-b563-3faa1686c6ca' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>9</dd><dt><span>GRIB_Ny :</span></dt><dd>9</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>ssaod550</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.177</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.121</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>45.126</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>44.16</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>6.457</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>7.872</dd><dt><span>GRIB_missingValue :</span></dt><dd>3.4028234663852886e+38</dd><dt><span>GRIB_name :</span></dt><dd>Sea Salt Aerosol Optical Depth at 550nm</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>81</dd><dt><span>GRIB_paramId :</span></dt><dd>210208</dd><dt><span>GRIB_shortName :</span></dt><dd>ssaod550</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>0</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>~</dd><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;number&#x27;, &#x27;time&#x27;, &#x27;step&#x27;, &#x27;surface&#x27;, &#x27;latitude&#x27;, &#x27;longitude&#x27;, &#x27;valid_time&#x27;, &#x27;isobaricInhPa&#x27;], &#x27;dimensions&#x27;: [&#x27;latitude&#x27;, &#x27;longitude&#x27;], &#x27;units&#x27;: &#x27;~&#x27;}</dd><dt><span>long_name :</span></dt><dd>Sea Salt Aerosol Optical Depth at 550nm</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>~</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ssaod550</span></div><div class='xr-var-dims'>(latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9, 9), meta=np.ndarray&gt;</div><input id='attrs-80694729-1403-4183-a653-d3a556663338' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-80694729-1403-4183-a653-d3a556663338' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6565b608-a062-48e3-aee5-c9976733e9ae' class='xr-var-data-in' type='checkbox'><label for='data-6565b608-a062-48e3-aee5-c9976733e9ae' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>9</dd><dt><span>GRIB_Ny :</span></dt><dd>9</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>ssaod550</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.38</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.126</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>72.1</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>71.09</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-33.001</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-29.964</dd><dt><span>GRIB_missingValue :</span></dt><dd>3.4028234663852886e+38</dd><dt><span>GRIB_name :</span></dt><dd>Sea Salt Aerosol Optical Depth at 550nm</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>81</dd><dt><span>GRIB_paramId :</span></dt><dd>210208</dd><dt><span>GRIB_shortName :</span></dt><dd>ssaod550</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>0</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>~</dd><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;number&#x27;, &#x27;time&#x27;, &#x27;step&#x27;, &#x27;surface&#x27;, &#x27;latitude&#x27;, &#x27;longitude&#x27;, &#x27;valid_time&#x27;, &#x27;isobaricInhPa&#x27;], &#x27;dimensions&#x27;: [&#x27;latitude&#x27;, &#x27;longitude&#x27;], &#x27;long_name&#x27;: &#x27;Sea Salt Aerosol Optical Depth at 550nm&#x27;, &#x27;standard_name&#x27;: &#x27;unknown&#x27;, &#x27;units&#x27;: &#x27;~&#x27;}</dd><dt><span>long_name :</span></dt><dd>Sea Salt Aerosol Optical Depth at 550nm</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>~</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -6279,7 +6279,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>suaod550</span></div><div class='xr-var-dims'>(latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9, 9), meta=np.ndarray&gt;</div><input id='attrs-f6c252e9-0da5-44d6-9984-79625858fafc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f6c252e9-0da5-44d6-9984-79625858fafc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6d34b172-6b19-42e9-a53c-552ea1388c7b' class='xr-var-data-in' type='checkbox'><label for='data-6d34b172-6b19-42e9-a53c-552ea1388c7b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>9</dd><dt><span>GRIB_Ny :</span></dt><dd>9</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>suaod550</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.177</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.121</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>45.126</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>44.16</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>6.457</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>7.872</dd><dt><span>GRIB_missingValue :</span></dt><dd>3.4028234663852886e+38</dd><dt><span>GRIB_name :</span></dt><dd>Sulphate Aerosol Optical Depth at 550nm</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>81</dd><dt><span>GRIB_paramId :</span></dt><dd>210212</dd><dt><span>GRIB_shortName :</span></dt><dd>suaod550</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>0</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>~</dd><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;number&#x27;, &#x27;time&#x27;, &#x27;step&#x27;, &#x27;surface&#x27;, &#x27;latitude&#x27;, &#x27;longitude&#x27;, &#x27;valid_time&#x27;, &#x27;isobaricInhPa&#x27;], &#x27;dimensions&#x27;: [&#x27;latitude&#x27;, &#x27;longitude&#x27;], &#x27;units&#x27;: &#x27;~&#x27;}</dd><dt><span>long_name :</span></dt><dd>Sulphate Aerosol Optical Depth at 550nm</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>~</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>suaod550</span></div><div class='xr-var-dims'>(latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9, 9), meta=np.ndarray&gt;</div><input id='attrs-fa269152-f43a-472e-9c41-d43434e1244e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fa269152-f43a-472e-9c41-d43434e1244e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4285b1e4-8a5e-4076-8555-2983f9fee988' class='xr-var-data-in' type='checkbox'><label for='data-4285b1e4-8a5e-4076-8555-2983f9fee988' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>9</dd><dt><span>GRIB_Ny :</span></dt><dd>9</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>suaod550</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.38</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.126</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>72.1</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>71.09</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-33.001</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-29.964</dd><dt><span>GRIB_missingValue :</span></dt><dd>3.4028234663852886e+38</dd><dt><span>GRIB_name :</span></dt><dd>Sulphate Aerosol Optical Depth at 550nm</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>81</dd><dt><span>GRIB_paramId :</span></dt><dd>210212</dd><dt><span>GRIB_shortName :</span></dt><dd>suaod550</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>0</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>~</dd><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;number&#x27;, &#x27;time&#x27;, &#x27;step&#x27;, &#x27;surface&#x27;, &#x27;latitude&#x27;, &#x27;longitude&#x27;, &#x27;valid_time&#x27;, &#x27;isobaricInhPa&#x27;], &#x27;dimensions&#x27;: [&#x27;latitude&#x27;, &#x27;longitude&#x27;], &#x27;long_name&#x27;: &#x27;Sulphate Aerosol Optical Depth at 550nm&#x27;, &#x27;standard_name&#x27;: &#x27;unknown&#x27;, &#x27;units&#x27;: &#x27;~&#x27;}</dd><dt><span>long_name :</span></dt><dd>Sulphate Aerosol Optical Depth at 550nm</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>~</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -6334,7 +6334,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>z</span></div><div class='xr-var-dims'>(latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9, 9), meta=np.ndarray&gt;</div><input id='attrs-4532d6bb-61df-4869-8e87-db1974b374ce' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4532d6bb-61df-4869-8e87-db1974b374ce' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4dedd657-5586-4566-a8c7-bd2cce7fe99f' class='xr-var-data-in' type='checkbox'><label for='data-4dedd657-5586-4566-a8c7-bd2cce7fe99f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>9</dd><dt><span>GRIB_Ny :</span></dt><dd>9</dd><dt><span>GRIB_cfName :</span></dt><dd>geopotential</dd><dt><span>GRIB_cfVarName :</span></dt><dd>z</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.177</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.121</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>45.126</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>44.16</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>6.457</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>7.872</dd><dt><span>GRIB_missingValue :</span></dt><dd>3.4028234663852886e+38</dd><dt><span>GRIB_name :</span></dt><dd>Geopotential</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>81</dd><dt><span>GRIB_paramId :</span></dt><dd>129</dd><dt><span>GRIB_shortName :</span></dt><dd>z</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>0</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>m**2 s**-2</dd><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;number&#x27;, &#x27;time&#x27;, &#x27;step&#x27;, &#x27;surface&#x27;, &#x27;latitude&#x27;, &#x27;longitude&#x27;, &#x27;valid_time&#x27;, &#x27;isobaricInhPa&#x27;], &#x27;dimensions&#x27;: [&#x27;latitude&#x27;, &#x27;longitude&#x27;], &#x27;units&#x27;: &#x27;m**2 s**-2&#x27;}</dd><dt><span>long_name :</span></dt><dd>Geopotential</dd><dt><span>standard_name :</span></dt><dd>geopotential</dd><dt><span>units :</span></dt><dd>m**2 s**-2</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>z</span></div><div class='xr-var-dims'>(latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9, 9), meta=np.ndarray&gt;</div><input id='attrs-c899477a-7717-4e9c-93ee-b63f454dcc9b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c899477a-7717-4e9c-93ee-b63f454dcc9b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9fc4aa9f-01c0-438f-b9c2-9309ad4735eb' class='xr-var-data-in' type='checkbox'><label for='data-9fc4aa9f-01c0-438f-b9c2-9309ad4735eb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>9</dd><dt><span>GRIB_Ny :</span></dt><dd>9</dd><dt><span>GRIB_cfName :</span></dt><dd>geopotential</dd><dt><span>GRIB_cfVarName :</span></dt><dd>z</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.38</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.126</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>72.1</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>71.09</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-33.001</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-29.964</dd><dt><span>GRIB_missingValue :</span></dt><dd>3.4028234663852886e+38</dd><dt><span>GRIB_name :</span></dt><dd>Geopotential</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>81</dd><dt><span>GRIB_paramId :</span></dt><dd>129</dd><dt><span>GRIB_shortName :</span></dt><dd>z</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>0</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>m**2 s**-2</dd><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;number&#x27;, &#x27;time&#x27;, &#x27;step&#x27;, &#x27;surface&#x27;, &#x27;latitude&#x27;, &#x27;longitude&#x27;, &#x27;valid_time&#x27;, &#x27;isobaricInhPa&#x27;], &#x27;dimensions&#x27;: [&#x27;latitude&#x27;, &#x27;longitude&#x27;], &#x27;long_name&#x27;: &#x27;Geopotential&#x27;, &#x27;standard_name&#x27;: &#x27;geopotential&#x27;, &#x27;units&#x27;: &#x27;m**2 s**-2&#x27;}</dd><dt><span>long_name :</span></dt><dd>Geopotential</dd><dt><span>standard_name :</span></dt><dd>geopotential</dd><dt><span>units :</span></dt><dd>m**2 s**-2</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -6389,7 +6389,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-990e7d07-2725-424c-8a33-b6af0bdc9ea8' class='xr-section-summary-in' type='checkbox'  checked><label for='section-990e7d07-2725-424c-8a33-b6af0bdc9ea8' class='xr-section-summary' >Attributes: <span>(7)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>CF-1.7</dd><dt><span>GRIB_centre :</span></dt><dd>ecmf</dd><dt><span>GRIB_centreDescription :</span></dt><dd>European Centre for Medium-Range Weather Forecasts</dd><dt><span>GRIB_edition :</span></dt><dd>1</dd><dt><span>GRIB_subCentre :</span></dt><dd>0</dd><dt><span>history :</span></dt><dd>2025-02-27T07:57 GRIB to CDM+CF via cfgrib-0.9.10.4/ecCodes-2.34.1 with {&quot;source&quot;: &quot;tmp/S2B_MSIL1C_20250113T103309_N0511_R108_T32TLQ_20250113T122458.SAFE/GRANULE/L1C_T32TLQ_A041032_20250113T103310/AUX_DATA/AUX_CAMSFO&quot;, &quot;filter_by_keys&quot;: {}, &quot;encode_cf&quot;: [&quot;parameter&quot;, &quot;time&quot;, &quot;geography&quot;, &quot;vertical&quot;]}</dd><dt><span>institution :</span></dt><dd>European Centre for Medium-Range Weather Forecasts</dd></dl></div></li></ul></div></div></div></div><div style='display: inline-grid; grid-template-columns: 0px 20px auto; width: 100%;'><div style='grid-column-start: 1;border-right: 0.2em solid;border-color: var(--xr-border-color);height: 1.2em;width: 0px;'></div><div style='grid-column-start: 2;grid-row-start: 1;height: 1em;width: 20px;border-bottom: 0.2em solid;border-color: var(--xr-border-color);'></div><div style='grid-column-start: 3;'><div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
+       "</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-9869ca80-e0d2-461b-b409-2e512a95b90d' class='xr-section-summary-in' type='checkbox'  checked><label for='section-9869ca80-e0d2-461b-b409-2e512a95b90d' class='xr-section-summary' >Attributes: <span>(7)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>CF-1.7</dd><dt><span>GRIB_centre :</span></dt><dd>ecmf</dd><dt><span>GRIB_centreDescription :</span></dt><dd>European Centre for Medium-Range Weather Forecasts</dd><dt><span>GRIB_edition :</span></dt><dd>1</dd><dt><span>GRIB_subCentre :</span></dt><dd>0</dd><dt><span>history :</span></dt><dd>2025-04-16T02:40 GRIB to CDM+CF via cfgrib-0.9.10.4/ecCodes-2.34.1 with {&quot;source&quot;: &quot;../../mnt/data/eopf-conversion-7wlr5/S2B_MSIL1C_20250415T142749_N0511_R139_T25WEV_20250415T180239.SAFE/GRANULE/L1C_T25WEV_A042350_20250415T142954/AUX_DATA/AUX_CAMSFO&quot;, &quot;filter_by_keys&quot;: {}, &quot;encode_cf&quot;: [&quot;parameter&quot;, &quot;time&quot;, &quot;geography&quot;, &quot;vertical&quot;]}</dd><dt><span>institution :</span></dt><dd>European Centre for Medium-Range Weather Forecasts</dd></dl></div></li></ul></div></div></div></div><div style='display: inline-grid; grid-template-columns: 0px 20px auto; width: 100%;'><div style='grid-column-start: 1;border-right: 0.2em solid;border-color: var(--xr-border-color);height: 1.2em;width: 0px;'></div><div style='grid-column-start: 2;grid-row-start: 1;height: 1em;width: 20px;border-bottom: 0.2em solid;border-color: var(--xr-border-color);'></div><div style='grid-column-start: 3;'><div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
        "<defs>\n",
        "<symbol id=\"icon-database\" viewBox=\"0 0 32 32\">\n",
        "<path d=\"M16 0c-8.837 0-16 2.239-16 5v4c0 2.761 7.163 5 16 5s16-2.239 16-5v-4c0-2.761-7.163-5-16-5z\"></path>\n",
@@ -6763,8 +6763,8 @@
        "Dimensions:        (latitude: 9, longitude: 9)\n",
        "Coordinates:\n",
        "    isobaricInhPa  float64 8B ...\n",
-       "  * latitude       (latitude) float64 72B 45.13 45.0 44.88 ... 44.4 44.28 44.16\n",
-       "  * longitude      (longitude) float64 72B 6.457 6.634 6.811 ... 7.695 7.872\n",
+       "  * latitude       (latitude) float64 72B 72.1 71.97 71.85 ... 71.34 71.22 71.09\n",
+       "  * longitude      (longitude) float64 72B -33.0 -32.62 -32.24 ... -30.34 -29.96\n",
        "    number         int64 8B ...\n",
        "    step           int64 8B ...\n",
        "    surface        float64 8B ...\n",
@@ -6783,9 +6783,9 @@
        "    GRIB_centreDescription:  European Centre for Medium-Range Weather Forecasts\n",
        "    GRIB_edition:            1\n",
        "    GRIB_subCentre:          0\n",
-       "    history:                 2025-02-27T07:57 GRIB to CDM+CF via cfgrib-0.9.1...\n",
-       "    institution:             European Centre for Medium-Range Weather Forecasts</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>ecmwf</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-bdab8674-916e-4ad9-b878-57d20ccb13f5' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-bdab8674-916e-4ad9-b878-57d20ccb13f5' class='xr-section-summary'  title='Expand/collapse section'>Groups: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><div style='display: inline-grid; grid-template-columns: 100%; grid-column: 1 / -1'></div></div></li><li class='xr-section-item'><input id='section-eacc372c-bd1a-4de7-ae9b-9d4d84fbdb53' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-eacc372c-bd1a-4de7-ae9b-9d4d84fbdb53' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>latitude</span>: 9</li><li><span class='xr-has-index'>longitude</span>: 9</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-3da8b7b4-8878-4496-ad95-1abc345f9273' class='xr-section-summary-in' type='checkbox'  checked><label for='section-3da8b7b4-8878-4496-ad95-1abc345f9273' class='xr-section-summary' >Coordinates: <span>(8)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>isobaricInhPa</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-67302c7c-a786-4fa6-8a2b-d2697aa2ea29' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-67302c7c-a786-4fa6-8a2b-d2697aa2ea29' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e0a99263-8b48-44e0-ae48-d75f3e8e04c6' class='xr-var-data-in' type='checkbox'><label for='data-e0a99263-8b48-44e0-ae48-d75f3e8e04c6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>pressure</dd><dt><span>positive :</span></dt><dd>down</dd><dt><span>standard_name :</span></dt><dd>air_pressure</dd><dt><span>stored_direction :</span></dt><dd>decreasing</dd><dt><span>units :</span></dt><dd>hPa</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>latitude</span></div><div class='xr-var-dims'>(latitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>45.13 45.0 44.88 ... 44.28 44.16</div><input id='attrs-a60bd245-db78-46a1-9f2d-5a49eacd7178' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a60bd245-db78-46a1-9f2d-5a49eacd7178' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e2ab6594-42d4-4b79-b538-46ac8c8811d0' class='xr-var-data-in' type='checkbox'><label for='data-e2ab6594-42d4-4b79-b538-46ac8c8811d0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>stored_direction :</span></dt><dd>decreasing</dd><dt><span>units :</span></dt><dd>degrees_north</dd></dl></div><div class='xr-var-data'><pre>array([45.126, 45.005, 44.884, 44.763, 44.642, 44.521, 44.4  , 44.279, 44.16 ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>longitude</span></div><div class='xr-var-dims'>(longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>6.457 6.634 6.811 ... 7.695 7.872</div><input id='attrs-3e313fa3-3c1e-437a-a47e-0deb78f3af24' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3e313fa3-3c1e-437a-a47e-0deb78f3af24' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f6ad7100-693d-4051-98ab-c33b2bc91a60' class='xr-var-data-in' type='checkbox'><label for='data-f6ad7100-693d-4051-98ab-c33b2bc91a60' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd></dl></div><div class='xr-var-data'><pre>array([6.457   , 6.633875, 6.81075 , 6.987625, 7.1645  , 7.341375, 7.51825 ,\n",
-       "       7.695125, 7.872   ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>number</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-ecc61aa1-dc37-401c-b33f-365a7ef737ab' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ecc61aa1-dc37-401c-b33f-365a7ef737ab' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b6fb1918-6599-4673-be29-5c661df59ef9' class='xr-var-data-in' type='checkbox'><label for='data-b6fb1918-6599-4673-be29-5c661df59ef9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>ensemble member numerical id</dd><dt><span>standard_name :</span></dt><dd>realization</dd><dt><span>units :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=int64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>step</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-2b169b96-6273-4ebb-947d-9e6d8ab12a2b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2b169b96-6273-4ebb-947d-9e6d8ab12a2b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-aa689dad-9e20-414a-8f1e-4a6d6cf262a0' class='xr-var-data-in' type='checkbox'><label for='data-aa689dad-9e20-414a-8f1e-4a6d6cf262a0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>time since forecast_reference_time</dd><dt><span>standard_name :</span></dt><dd>forecast_period</dd><dt><span>units :</span></dt><dd>minutes</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=int64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>surface</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-09ff770d-1eac-46dc-a86b-819d3c06285d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-09ff770d-1eac-46dc-a86b-819d3c06285d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1fda4f43-ac59-4daf-9f36-edeced957665' class='xr-var-data-in' type='checkbox'><label for='data-1fda4f43-ac59-4daf-9f36-edeced957665' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>original GRIB coordinate for key: level(surface)</dd><dt><span>units :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>time</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-4dfbb1b0-6986-4237-b1de-b322811d5d2b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4dfbb1b0-6986-4237-b1de-b322811d5d2b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1565361b-9816-4c11-ba74-c858f9d3edeb' class='xr-var-data-in' type='checkbox'><label for='data-1565361b-9816-4c11-ba74-c858f9d3edeb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;_eopf_decode_datetime64&#x27;: &#x27;datetime64[ns]&#x27;}</dd><dt><span>long_name :</span></dt><dd>initial time of forecast</dd><dt><span>standard_name :</span></dt><dd>forecast_reference_time</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=datetime64[ns]]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>valid_time</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-f6d195bc-6876-4a40-a346-27f84b44e657' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f6d195bc-6876-4a40-a346-27f84b44e657' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1bc88824-3283-475c-8c37-3642337d3fb9' class='xr-var-data-in' type='checkbox'><label for='data-1bc88824-3283-475c-8c37-3642337d3fb9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;_eopf_decode_datetime64&#x27;: &#x27;datetime64[ns]&#x27;}</dd><dt><span>long_name :</span></dt><dd>time</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=datetime64[ns]]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-b19bded6-e0de-4ccd-a37e-90db2dd440c5' class='xr-section-summary-in' type='checkbox'  checked><label for='section-b19bded6-e0de-4ccd-a37e-90db2dd440c5' class='xr-section-summary' >Data variables: <span>(6)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>msl</span></div><div class='xr-var-dims'>(latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9, 9), meta=np.ndarray&gt;</div><input id='attrs-b89767b4-d10e-487e-a9be-400b52d5012f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b89767b4-d10e-487e-a9be-400b52d5012f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2729ea36-b879-4c44-a59a-6ef7e3b47ef6' class='xr-var-data-in' type='checkbox'><label for='data-2729ea36-b879-4c44-a59a-6ef7e3b47ef6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>9</dd><dt><span>GRIB_Ny :</span></dt><dd>9</dd><dt><span>GRIB_cfName :</span></dt><dd>air_pressure_at_mean_sea_level</dd><dt><span>GRIB_cfVarName :</span></dt><dd>msl</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.177</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.121</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>45.126</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>44.16</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>6.457</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>7.872</dd><dt><span>GRIB_missingValue :</span></dt><dd>3.4028234663852886e+38</dd><dt><span>GRIB_name :</span></dt><dd>Mean sea level pressure</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>81</dd><dt><span>GRIB_paramId :</span></dt><dd>151</dd><dt><span>GRIB_shortName :</span></dt><dd>msl</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>0</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>Pa</dd><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;number&#x27;, &#x27;time&#x27;, &#x27;step&#x27;, &#x27;surface&#x27;, &#x27;latitude&#x27;, &#x27;longitude&#x27;, &#x27;valid_time&#x27;, &#x27;isobaricInhPa&#x27;], &#x27;dimensions&#x27;: [&#x27;latitude&#x27;, &#x27;longitude&#x27;], &#x27;units&#x27;: &#x27;Pa&#x27;}</dd><dt><span>long_name :</span></dt><dd>Mean sea level pressure</dd><dt><span>standard_name :</span></dt><dd>air_pressure_at_mean_sea_level</dd><dt><span>units :</span></dt><dd>Pa</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    history:                 2025-04-16T02:40 GRIB to CDM+CF via cfgrib-0.9.1...\n",
+       "    institution:             European Centre for Medium-Range Weather Forecasts</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>ecmwf</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-6d1898d6-ac7b-405f-a4be-e320bc36f630' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-6d1898d6-ac7b-405f-a4be-e320bc36f630' class='xr-section-summary'  title='Expand/collapse section'>Groups: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><div style='display: inline-grid; grid-template-columns: 100%; grid-column: 1 / -1'></div></div></li><li class='xr-section-item'><input id='section-46788b40-eadd-4270-b007-4a4622ff3f71' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-46788b40-eadd-4270-b007-4a4622ff3f71' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>latitude</span>: 9</li><li><span class='xr-has-index'>longitude</span>: 9</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-257b66b3-cc52-4f3a-bdfe-67379d355b96' class='xr-section-summary-in' type='checkbox'  checked><label for='section-257b66b3-cc52-4f3a-bdfe-67379d355b96' class='xr-section-summary' >Coordinates: <span>(8)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>isobaricInhPa</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-61e06d57-f986-4567-84b0-5d9891c789f7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-61e06d57-f986-4567-84b0-5d9891c789f7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-99cf3667-1712-4526-97f3-b923e541f0d9' class='xr-var-data-in' type='checkbox'><label for='data-99cf3667-1712-4526-97f3-b923e541f0d9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>pressure</dd><dt><span>positive :</span></dt><dd>down</dd><dt><span>standard_name :</span></dt><dd>air_pressure</dd><dt><span>stored_direction :</span></dt><dd>decreasing</dd><dt><span>units :</span></dt><dd>hPa</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>latitude</span></div><div class='xr-var-dims'>(latitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>72.1 71.97 71.85 ... 71.22 71.09</div><input id='attrs-3c42c827-f61a-42f1-9e22-6d630efe0854' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3c42c827-f61a-42f1-9e22-6d630efe0854' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f8b2b501-6a2b-433b-af2b-df28451eed23' class='xr-var-data-in' type='checkbox'><label for='data-f8b2b501-6a2b-433b-af2b-df28451eed23' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>stored_direction :</span></dt><dd>decreasing</dd><dt><span>units :</span></dt><dd>degrees_north</dd></dl></div><div class='xr-var-data'><pre>array([72.1  , 71.974, 71.848, 71.722, 71.596, 71.47 , 71.344, 71.218, 71.09 ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>longitude</span></div><div class='xr-var-dims'>(longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-33.0 -32.62 ... -30.34 -29.96</div><input id='attrs-065558f2-284d-480a-9604-acea32dca9b7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-065558f2-284d-480a-9604-acea32dca9b7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-602696f5-941a-4536-85b1-34116b1d6a50' class='xr-var-data-in' type='checkbox'><label for='data-602696f5-941a-4536-85b1-34116b1d6a50' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd></dl></div><div class='xr-var-data'><pre>array([-33.001   , -32.621375, -32.24175 , -31.862125, -31.4825  , -31.102875,\n",
+       "       -30.72325 , -30.343625, -29.964   ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>number</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-8b7e8707-2e25-4feb-b43f-d4c7e4276bdc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8b7e8707-2e25-4feb-b43f-d4c7e4276bdc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1c680476-5bb1-4cf2-915e-1517afa7ccc8' class='xr-var-data-in' type='checkbox'><label for='data-1c680476-5bb1-4cf2-915e-1517afa7ccc8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>ensemble member numerical id</dd><dt><span>standard_name :</span></dt><dd>realization</dd><dt><span>units :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=int64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>step</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-0b12010c-769d-4829-8463-f9ab14839571' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0b12010c-769d-4829-8463-f9ab14839571' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9cf65e42-c6d6-415d-be39-8f2320da50fa' class='xr-var-data-in' type='checkbox'><label for='data-9cf65e42-c6d6-415d-be39-8f2320da50fa' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>time since forecast_reference_time</dd><dt><span>standard_name :</span></dt><dd>forecast_period</dd><dt><span>units :</span></dt><dd>nanoseconds</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=int64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>surface</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-ddba8b44-000c-4072-b645-fefa8d69ed37' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ddba8b44-000c-4072-b645-fefa8d69ed37' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-397f7966-4e4d-4279-859b-2901f55c0e56' class='xr-var-data-in' type='checkbox'><label for='data-397f7966-4e4d-4279-859b-2901f55c0e56' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>original GRIB coordinate for key: level(surface)</dd><dt><span>units :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>time</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-7f2d58eb-35a2-457d-b595-ebd9f26e045e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7f2d58eb-35a2-457d-b595-ebd9f26e045e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e2659e9b-b4b9-4547-b7fc-7afdc6c52971' class='xr-var-data-in' type='checkbox'><label for='data-e2659e9b-b4b9-4547-b7fc-7afdc6c52971' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>initial time of forecast</dd><dt><span>standard_name :</span></dt><dd>forecast_reference_time</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=datetime64[ns]]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>valid_time</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-110abca3-f640-4146-add9-8396fc6a30fc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-110abca3-f640-4146-add9-8396fc6a30fc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b632b160-be1f-4be9-8064-530ac06e7a92' class='xr-var-data-in' type='checkbox'><label for='data-b632b160-be1f-4be9-8064-530ac06e7a92' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>time</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=datetime64[ns]]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-71662350-a475-4797-91f2-37c2227c5a84' class='xr-section-summary-in' type='checkbox'  checked><label for='section-71662350-a475-4797-91f2-37c2227c5a84' class='xr-section-summary' >Data variables: <span>(6)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>msl</span></div><div class='xr-var-dims'>(latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9, 9), meta=np.ndarray&gt;</div><input id='attrs-7dfff921-3a2b-437b-afe0-7fed6f1d876c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7dfff921-3a2b-437b-afe0-7fed6f1d876c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1c246666-0572-4dbe-91e8-e6a553cbaa43' class='xr-var-data-in' type='checkbox'><label for='data-1c246666-0572-4dbe-91e8-e6a553cbaa43' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>9</dd><dt><span>GRIB_Ny :</span></dt><dd>9</dd><dt><span>GRIB_cfName :</span></dt><dd>air_pressure_at_mean_sea_level</dd><dt><span>GRIB_cfVarName :</span></dt><dd>msl</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.38</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.126</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>72.1</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>71.09</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-33.001</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-29.964</dd><dt><span>GRIB_missingValue :</span></dt><dd>3.4028234663852886e+38</dd><dt><span>GRIB_name :</span></dt><dd>Mean sea level pressure</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>81</dd><dt><span>GRIB_paramId :</span></dt><dd>151</dd><dt><span>GRIB_shortName :</span></dt><dd>msl</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>0</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>Pa</dd><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;number&#x27;, &#x27;time&#x27;, &#x27;step&#x27;, &#x27;surface&#x27;, &#x27;latitude&#x27;, &#x27;longitude&#x27;, &#x27;valid_time&#x27;, &#x27;isobaricInhPa&#x27;], &#x27;dimensions&#x27;: [&#x27;latitude&#x27;, &#x27;longitude&#x27;], &#x27;long_name&#x27;: &#x27;Mean sea level pressure&#x27;, &#x27;standard_name&#x27;: &#x27;air_pressure_at_mean_sea_level&#x27;, &#x27;units&#x27;: &#x27;Pa&#x27;}</dd><dt><span>long_name :</span></dt><dd>Mean sea level pressure</dd><dt><span>standard_name :</span></dt><dd>air_pressure_at_mean_sea_level</dd><dt><span>units :</span></dt><dd>Pa</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -6840,7 +6840,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>r</span></div><div class='xr-var-dims'>(latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9, 9), meta=np.ndarray&gt;</div><input id='attrs-d9d16dbd-8694-4957-90d5-09b40df93ec3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d9d16dbd-8694-4957-90d5-09b40df93ec3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d5e8766b-44ae-413b-8d60-b1610ceef62b' class='xr-var-data-in' type='checkbox'><label for='data-d5e8766b-44ae-413b-8d60-b1610ceef62b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>9</dd><dt><span>GRIB_Ny :</span></dt><dd>9</dd><dt><span>GRIB_cfName :</span></dt><dd>relative_humidity</dd><dt><span>GRIB_cfVarName :</span></dt><dd>r</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.177</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.121</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>45.126</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>44.16</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>6.457</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>7.872</dd><dt><span>GRIB_missingValue :</span></dt><dd>3.4028234663852886e+38</dd><dt><span>GRIB_name :</span></dt><dd>Relative humidity</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>81</dd><dt><span>GRIB_paramId :</span></dt><dd>157</dd><dt><span>GRIB_shortName :</span></dt><dd>r</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>0</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>isobaricInhPa</dd><dt><span>GRIB_units :</span></dt><dd>%</dd><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;number&#x27;, &#x27;time&#x27;, &#x27;step&#x27;, &#x27;surface&#x27;, &#x27;latitude&#x27;, &#x27;longitude&#x27;, &#x27;valid_time&#x27;, &#x27;isobaricInhPa&#x27;], &#x27;dimensions&#x27;: [&#x27;latitude&#x27;, &#x27;longitude&#x27;], &#x27;units&#x27;: &#x27;%&#x27;}</dd><dt><span>long_name :</span></dt><dd>Relative humidity</dd><dt><span>standard_name :</span></dt><dd>relative_humidity</dd><dt><span>units :</span></dt><dd>%</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>r</span></div><div class='xr-var-dims'>(latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9, 9), meta=np.ndarray&gt;</div><input id='attrs-7ab69c75-5753-4150-abdd-776e71988285' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7ab69c75-5753-4150-abdd-776e71988285' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fa1bb691-bf29-48bb-a4fd-38bdcaa2eeac' class='xr-var-data-in' type='checkbox'><label for='data-fa1bb691-bf29-48bb-a4fd-38bdcaa2eeac' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>9</dd><dt><span>GRIB_Ny :</span></dt><dd>9</dd><dt><span>GRIB_cfName :</span></dt><dd>relative_humidity</dd><dt><span>GRIB_cfVarName :</span></dt><dd>r</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.38</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.126</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>72.1</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>71.09</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-33.001</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-29.964</dd><dt><span>GRIB_missingValue :</span></dt><dd>3.4028234663852886e+38</dd><dt><span>GRIB_name :</span></dt><dd>Relative humidity</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>81</dd><dt><span>GRIB_paramId :</span></dt><dd>157</dd><dt><span>GRIB_shortName :</span></dt><dd>r</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>0</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>isobaricInhPa</dd><dt><span>GRIB_units :</span></dt><dd>%</dd><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;number&#x27;, &#x27;time&#x27;, &#x27;step&#x27;, &#x27;surface&#x27;, &#x27;latitude&#x27;, &#x27;longitude&#x27;, &#x27;valid_time&#x27;, &#x27;isobaricInhPa&#x27;], &#x27;dimensions&#x27;: [&#x27;latitude&#x27;, &#x27;longitude&#x27;], &#x27;long_name&#x27;: &#x27;Relative humidity&#x27;, &#x27;standard_name&#x27;: &#x27;relative_humidity&#x27;, &#x27;units&#x27;: &#x27;%&#x27;}</dd><dt><span>long_name :</span></dt><dd>Relative humidity</dd><dt><span>standard_name :</span></dt><dd>relative_humidity</dd><dt><span>units :</span></dt><dd>%</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -6895,7 +6895,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tco3</span></div><div class='xr-var-dims'>(latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9, 9), meta=np.ndarray&gt;</div><input id='attrs-ae8b25d1-2d56-4c10-b75b-6fb12989f22c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ae8b25d1-2d56-4c10-b75b-6fb12989f22c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d8cb382b-0b8f-40e2-8506-04325c26f05e' class='xr-var-data-in' type='checkbox'><label for='data-d8cb382b-0b8f-40e2-8506-04325c26f05e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>9</dd><dt><span>GRIB_Ny :</span></dt><dd>9</dd><dt><span>GRIB_cfName :</span></dt><dd>atmosphere_mass_content_of_ozone</dd><dt><span>GRIB_cfVarName :</span></dt><dd>tco3</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.177</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.121</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>45.126</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>44.16</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>6.457</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>7.872</dd><dt><span>GRIB_missingValue :</span></dt><dd>3.4028234663852886e+38</dd><dt><span>GRIB_name :</span></dt><dd>Total column ozone</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>81</dd><dt><span>GRIB_paramId :</span></dt><dd>206</dd><dt><span>GRIB_shortName :</span></dt><dd>tco3</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>0</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>kg m**-2</dd><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;number&#x27;, &#x27;time&#x27;, &#x27;step&#x27;, &#x27;surface&#x27;, &#x27;latitude&#x27;, &#x27;longitude&#x27;, &#x27;valid_time&#x27;, &#x27;isobaricInhPa&#x27;], &#x27;dimensions&#x27;: [&#x27;latitude&#x27;, &#x27;longitude&#x27;], &#x27;units&#x27;: &#x27;kg m**-2&#x27;}</dd><dt><span>long_name :</span></dt><dd>Total column ozone</dd><dt><span>standard_name :</span></dt><dd>atmosphere_mass_content_of_ozone</dd><dt><span>units :</span></dt><dd>kg m**-2</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tco3</span></div><div class='xr-var-dims'>(latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9, 9), meta=np.ndarray&gt;</div><input id='attrs-5df86ee4-dcde-4822-b2af-902e87a39cda' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5df86ee4-dcde-4822-b2af-902e87a39cda' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1f70dadf-35a4-4cb3-bf22-95373ebbc9e4' class='xr-var-data-in' type='checkbox'><label for='data-1f70dadf-35a4-4cb3-bf22-95373ebbc9e4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>9</dd><dt><span>GRIB_Ny :</span></dt><dd>9</dd><dt><span>GRIB_cfName :</span></dt><dd>atmosphere_mass_content_of_ozone</dd><dt><span>GRIB_cfVarName :</span></dt><dd>tco3</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.38</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.126</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>72.1</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>71.09</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-33.001</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-29.964</dd><dt><span>GRIB_missingValue :</span></dt><dd>3.4028234663852886e+38</dd><dt><span>GRIB_name :</span></dt><dd>Total column ozone</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>81</dd><dt><span>GRIB_paramId :</span></dt><dd>206</dd><dt><span>GRIB_shortName :</span></dt><dd>tco3</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>0</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>kg m**-2</dd><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;number&#x27;, &#x27;time&#x27;, &#x27;step&#x27;, &#x27;surface&#x27;, &#x27;latitude&#x27;, &#x27;longitude&#x27;, &#x27;valid_time&#x27;, &#x27;isobaricInhPa&#x27;], &#x27;dimensions&#x27;: [&#x27;latitude&#x27;, &#x27;longitude&#x27;], &#x27;long_name&#x27;: &#x27;Total column ozone&#x27;, &#x27;standard_name&#x27;: &#x27;atmosphere_mass_content_of_ozone&#x27;, &#x27;units&#x27;: &#x27;kg m**-2&#x27;}</dd><dt><span>long_name :</span></dt><dd>Total column ozone</dd><dt><span>standard_name :</span></dt><dd>atmosphere_mass_content_of_ozone</dd><dt><span>units :</span></dt><dd>kg m**-2</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -6950,7 +6950,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tcwv</span></div><div class='xr-var-dims'>(latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9, 9), meta=np.ndarray&gt;</div><input id='attrs-82f59c8d-0700-4d15-84b2-a4afcbb215c9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-82f59c8d-0700-4d15-84b2-a4afcbb215c9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5774f83a-15c7-401c-9201-17e31161987c' class='xr-var-data-in' type='checkbox'><label for='data-5774f83a-15c7-401c-9201-17e31161987c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>9</dd><dt><span>GRIB_Ny :</span></dt><dd>9</dd><dt><span>GRIB_cfName :</span></dt><dd>lwe_thickness_of_atmosphere_mass_content_of_water_vapor</dd><dt><span>GRIB_cfVarName :</span></dt><dd>tcwv</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.177</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.121</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>45.126</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>44.16</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>6.457</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>7.872</dd><dt><span>GRIB_missingValue :</span></dt><dd>3.4028234663852886e+38</dd><dt><span>GRIB_name :</span></dt><dd>Total column vertically-integrated water vapour</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>81</dd><dt><span>GRIB_paramId :</span></dt><dd>137</dd><dt><span>GRIB_shortName :</span></dt><dd>tcwv</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>0</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>kg m**-2</dd><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;number&#x27;, &#x27;time&#x27;, &#x27;step&#x27;, &#x27;surface&#x27;, &#x27;latitude&#x27;, &#x27;longitude&#x27;, &#x27;valid_time&#x27;, &#x27;isobaricInhPa&#x27;], &#x27;dimensions&#x27;: [&#x27;latitude&#x27;, &#x27;longitude&#x27;], &#x27;units&#x27;: &#x27;kg m**-2&#x27;}</dd><dt><span>long_name :</span></dt><dd>Total column vertically-integrated water vapour</dd><dt><span>standard_name :</span></dt><dd>lwe_thickness_of_atmosphere_mass_content_of_water_vapor</dd><dt><span>units :</span></dt><dd>kg m**-2</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tcwv</span></div><div class='xr-var-dims'>(latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9, 9), meta=np.ndarray&gt;</div><input id='attrs-d681330b-28e7-4b92-ba42-bad8042d0ea3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d681330b-28e7-4b92-ba42-bad8042d0ea3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-775d3888-a053-47ca-91fa-8d10ee1c36e1' class='xr-var-data-in' type='checkbox'><label for='data-775d3888-a053-47ca-91fa-8d10ee1c36e1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>9</dd><dt><span>GRIB_Ny :</span></dt><dd>9</dd><dt><span>GRIB_cfName :</span></dt><dd>lwe_thickness_of_atmosphere_mass_content_of_water_vapor</dd><dt><span>GRIB_cfVarName :</span></dt><dd>tcwv</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.38</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.126</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>72.1</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>71.09</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-33.001</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-29.964</dd><dt><span>GRIB_missingValue :</span></dt><dd>3.4028234663852886e+38</dd><dt><span>GRIB_name :</span></dt><dd>Total column vertically-integrated water vapour</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>81</dd><dt><span>GRIB_paramId :</span></dt><dd>137</dd><dt><span>GRIB_shortName :</span></dt><dd>tcwv</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>0</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>kg m**-2</dd><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;number&#x27;, &#x27;time&#x27;, &#x27;step&#x27;, &#x27;surface&#x27;, &#x27;latitude&#x27;, &#x27;longitude&#x27;, &#x27;valid_time&#x27;, &#x27;isobaricInhPa&#x27;], &#x27;dimensions&#x27;: [&#x27;latitude&#x27;, &#x27;longitude&#x27;], &#x27;long_name&#x27;: &#x27;Total column vertically-integrated water vapour&#x27;, &#x27;standard_name&#x27;: &#x27;lwe_thickness_of_atmosphere_mass_content_of_water_vapor&#x27;, &#x27;units&#x27;: &#x27;kg m**-2&#x27;}</dd><dt><span>long_name :</span></dt><dd>Total column vertically-integrated water vapour</dd><dt><span>standard_name :</span></dt><dd>lwe_thickness_of_atmosphere_mass_content_of_water_vapor</dd><dt><span>units :</span></dt><dd>kg m**-2</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -7005,7 +7005,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>u10</span></div><div class='xr-var-dims'>(latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9, 9), meta=np.ndarray&gt;</div><input id='attrs-1e66dc00-b769-41a9-a49f-f69b4e2914f4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1e66dc00-b769-41a9-a49f-f69b4e2914f4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8c48d37f-c22d-4e33-a93c-6b41088b4e3d' class='xr-var-data-in' type='checkbox'><label for='data-8c48d37f-c22d-4e33-a93c-6b41088b4e3d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>9</dd><dt><span>GRIB_Ny :</span></dt><dd>9</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>u10</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.177</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.121</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>45.126</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>44.16</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>6.457</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>7.872</dd><dt><span>GRIB_missingValue :</span></dt><dd>3.4028234663852886e+38</dd><dt><span>GRIB_name :</span></dt><dd>10 metre U wind component</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>81</dd><dt><span>GRIB_paramId :</span></dt><dd>165</dd><dt><span>GRIB_shortName :</span></dt><dd>10u</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>0</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>m s**-1</dd><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;number&#x27;, &#x27;time&#x27;, &#x27;step&#x27;, &#x27;surface&#x27;, &#x27;latitude&#x27;, &#x27;longitude&#x27;, &#x27;valid_time&#x27;, &#x27;isobaricInhPa&#x27;], &#x27;dimensions&#x27;: [&#x27;latitude&#x27;, &#x27;longitude&#x27;], &#x27;units&#x27;: &#x27;m s**-1&#x27;}</dd><dt><span>long_name :</span></dt><dd>10 metre U wind component</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>m s**-1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>u10</span></div><div class='xr-var-dims'>(latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9, 9), meta=np.ndarray&gt;</div><input id='attrs-f7baccb9-015a-4848-8e23-7d3e62d417ec' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f7baccb9-015a-4848-8e23-7d3e62d417ec' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-88cdde17-6736-42eb-965e-f20a7c03289d' class='xr-var-data-in' type='checkbox'><label for='data-88cdde17-6736-42eb-965e-f20a7c03289d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>9</dd><dt><span>GRIB_Ny :</span></dt><dd>9</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>u10</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.38</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.126</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>72.1</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>71.09</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-33.001</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-29.964</dd><dt><span>GRIB_missingValue :</span></dt><dd>3.4028234663852886e+38</dd><dt><span>GRIB_name :</span></dt><dd>10 metre U wind component</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>81</dd><dt><span>GRIB_paramId :</span></dt><dd>165</dd><dt><span>GRIB_shortName :</span></dt><dd>10u</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>0</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>m s**-1</dd><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;number&#x27;, &#x27;time&#x27;, &#x27;step&#x27;, &#x27;surface&#x27;, &#x27;latitude&#x27;, &#x27;longitude&#x27;, &#x27;valid_time&#x27;, &#x27;isobaricInhPa&#x27;], &#x27;dimensions&#x27;: [&#x27;latitude&#x27;, &#x27;longitude&#x27;], &#x27;long_name&#x27;: &#x27;10 metre U wind component&#x27;, &#x27;standard_name&#x27;: &#x27;unknown&#x27;, &#x27;units&#x27;: &#x27;m s**-1&#x27;}</dd><dt><span>long_name :</span></dt><dd>10 metre U wind component</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>m s**-1</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -7060,7 +7060,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>v10</span></div><div class='xr-var-dims'>(latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9, 9), meta=np.ndarray&gt;</div><input id='attrs-f89d1a5c-68e2-4e40-91cb-0d803fec2945' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f89d1a5c-68e2-4e40-91cb-0d803fec2945' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fc142384-9420-4d2f-a64b-e54bca7de304' class='xr-var-data-in' type='checkbox'><label for='data-fc142384-9420-4d2f-a64b-e54bca7de304' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>9</dd><dt><span>GRIB_Ny :</span></dt><dd>9</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>v10</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.177</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.121</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>45.126</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>44.16</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>6.457</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>7.872</dd><dt><span>GRIB_missingValue :</span></dt><dd>3.4028234663852886e+38</dd><dt><span>GRIB_name :</span></dt><dd>10 metre V wind component</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>81</dd><dt><span>GRIB_paramId :</span></dt><dd>166</dd><dt><span>GRIB_shortName :</span></dt><dd>10v</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>0</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>m s**-1</dd><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;number&#x27;, &#x27;time&#x27;, &#x27;step&#x27;, &#x27;surface&#x27;, &#x27;latitude&#x27;, &#x27;longitude&#x27;, &#x27;valid_time&#x27;, &#x27;isobaricInhPa&#x27;], &#x27;dimensions&#x27;: [&#x27;latitude&#x27;, &#x27;longitude&#x27;], &#x27;units&#x27;: &#x27;m s**-1&#x27;}</dd><dt><span>long_name :</span></dt><dd>10 metre V wind component</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>m s**-1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>v10</span></div><div class='xr-var-dims'>(latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9, 9), meta=np.ndarray&gt;</div><input id='attrs-2505d663-d3f1-4edf-8a8f-f940d956ff4c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2505d663-d3f1-4edf-8a8f-f940d956ff4c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-817c218a-4e3f-4a1e-855d-3439082ad31d' class='xr-var-data-in' type='checkbox'><label for='data-817c218a-4e3f-4a1e-855d-3439082ad31d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>9</dd><dt><span>GRIB_Ny :</span></dt><dd>9</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>v10</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.38</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.126</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>72.1</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>71.09</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-33.001</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-29.964</dd><dt><span>GRIB_missingValue :</span></dt><dd>3.4028234663852886e+38</dd><dt><span>GRIB_name :</span></dt><dd>10 metre V wind component</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>81</dd><dt><span>GRIB_paramId :</span></dt><dd>166</dd><dt><span>GRIB_shortName :</span></dt><dd>10v</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>0</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>m s**-1</dd><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;number&#x27;, &#x27;time&#x27;, &#x27;step&#x27;, &#x27;surface&#x27;, &#x27;latitude&#x27;, &#x27;longitude&#x27;, &#x27;valid_time&#x27;, &#x27;isobaricInhPa&#x27;], &#x27;dimensions&#x27;: [&#x27;latitude&#x27;, &#x27;longitude&#x27;], &#x27;long_name&#x27;: &#x27;10 metre V wind component&#x27;, &#x27;standard_name&#x27;: &#x27;unknown&#x27;, &#x27;units&#x27;: &#x27;m s**-1&#x27;}</dd><dt><span>long_name :</span></dt><dd>10 metre V wind component</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>m s**-1</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -7115,7 +7115,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-782121b4-4ea5-4b91-b902-613f677b2cab' class='xr-section-summary-in' type='checkbox'  checked><label for='section-782121b4-4ea5-4b91-b902-613f677b2cab' class='xr-section-summary' >Attributes: <span>(7)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>CF-1.7</dd><dt><span>GRIB_centre :</span></dt><dd>ecmf</dd><dt><span>GRIB_centreDescription :</span></dt><dd>European Centre for Medium-Range Weather Forecasts</dd><dt><span>GRIB_edition :</span></dt><dd>1</dd><dt><span>GRIB_subCentre :</span></dt><dd>0</dd><dt><span>history :</span></dt><dd>2025-02-27T07:57 GRIB to CDM+CF via cfgrib-0.9.10.4/ecCodes-2.34.1 with {&quot;source&quot;: &quot;tmp/S2B_MSIL1C_20250113T103309_N0511_R108_T32TLQ_20250113T122458.SAFE/GRANULE/L1C_T32TLQ_A041032_20250113T103310/AUX_DATA/AUX_ECMWFT&quot;, &quot;filter_by_keys&quot;: {}, &quot;encode_cf&quot;: [&quot;parameter&quot;, &quot;time&quot;, &quot;geography&quot;, &quot;vertical&quot;]}</dd><dt><span>institution :</span></dt><dd>European Centre for Medium-Range Weather Forecasts</dd></dl></div></li></ul></div></div></div></div></div></div></li><li class='xr-section-item'><input id='section-6d11f775-e76c-457d-9c73-ea4d0fd5b5f8' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-6d11f775-e76c-457d-9c73-ea4d0fd5b5f8' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-91e09287-238b-4f0c-90a3-0d6eead7753d' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-91e09287-238b-4f0c-90a3-0d6eead7753d' class='xr-section-summary'  title='Expand/collapse section'>Coordinates: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-f4248ef9-1965-4adc-87f3-0ef23625e026' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-f4248ef9-1965-4adc-87f3-0ef23625e026' class='xr-section-summary'  title='Expand/collapse section'>Data variables: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-e6da4493-8b60-4639-9c44-98462b57e5be' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-e6da4493-8b60-4639-9c44-98462b57e5be' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div></div></div></li><li class='xr-section-item'><input id='section-a05735dc-9411-4eca-8c2c-52cc06bf5589' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-a05735dc-9411-4eca-8c2c-52cc06bf5589' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-1b46b3d2-1a79-4c33-a734-fcbb6d8429b8' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-1b46b3d2-1a79-4c33-a734-fcbb6d8429b8' class='xr-section-summary'  title='Expand/collapse section'>Coordinates: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-43933078-c875-489a-b1f7-e7b952acbc15' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-43933078-c875-489a-b1f7-e7b952acbc15' class='xr-section-summary'  title='Expand/collapse section'>Data variables: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-c1c402ce-c287-49e0-ad21-c035fdcfcf39' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-c1c402ce-c287-49e0-ad21-c035fdcfcf39' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div><div style='display: inline-grid; grid-template-columns: 0px 20px auto; width: 100%;'><div style='grid-column-start: 1;border-right: 0.2em solid;border-color: var(--xr-border-color);height: 100%;width: 0px;'></div><div style='grid-column-start: 2;grid-row-start: 1;height: 1em;width: 20px;border-bottom: 0.2em solid;border-color: var(--xr-border-color);'></div><div style='grid-column-start: 3;'><div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
+       "</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-30f90382-2b11-4c7c-b69f-fba9936198d8' class='xr-section-summary-in' type='checkbox'  checked><label for='section-30f90382-2b11-4c7c-b69f-fba9936198d8' class='xr-section-summary' >Attributes: <span>(7)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>CF-1.7</dd><dt><span>GRIB_centre :</span></dt><dd>ecmf</dd><dt><span>GRIB_centreDescription :</span></dt><dd>European Centre for Medium-Range Weather Forecasts</dd><dt><span>GRIB_edition :</span></dt><dd>1</dd><dt><span>GRIB_subCentre :</span></dt><dd>0</dd><dt><span>history :</span></dt><dd>2025-04-16T02:40 GRIB to CDM+CF via cfgrib-0.9.10.4/ecCodes-2.34.1 with {&quot;source&quot;: &quot;../../mnt/data/eopf-conversion-7wlr5/S2B_MSIL1C_20250415T142749_N0511_R139_T25WEV_20250415T180239.SAFE/GRANULE/L1C_T25WEV_A042350_20250415T142954/AUX_DATA/AUX_ECMWFT&quot;, &quot;filter_by_keys&quot;: {}, &quot;encode_cf&quot;: [&quot;parameter&quot;, &quot;time&quot;, &quot;geography&quot;, &quot;vertical&quot;]}</dd><dt><span>institution :</span></dt><dd>European Centre for Medium-Range Weather Forecasts</dd></dl></div></li></ul></div></div></div></div></div></div></li><li class='xr-section-item'><input id='section-f5d72bf2-28e3-4676-ab36-b67111a00d85' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-f5d72bf2-28e3-4676-ab36-b67111a00d85' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-1666f4e9-cce5-4e51-ba32-23f098ec01af' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-1666f4e9-cce5-4e51-ba32-23f098ec01af' class='xr-section-summary'  title='Expand/collapse section'>Coordinates: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-40ca2641-be7d-4227-8f09-eec3aa358ae1' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-40ca2641-be7d-4227-8f09-eec3aa358ae1' class='xr-section-summary'  title='Expand/collapse section'>Data variables: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-7be0cf21-3760-4455-9eee-3ac4a9865699' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-7be0cf21-3760-4455-9eee-3ac4a9865699' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div></div></div></li><li class='xr-section-item'><input id='section-2262fe8c-cd7d-4b6f-bce5-7692066f8eb1' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-2262fe8c-cd7d-4b6f-bce5-7692066f8eb1' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-759b7d6d-4a59-4b50-a13c-403460b8546f' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-759b7d6d-4a59-4b50-a13c-403460b8546f' class='xr-section-summary'  title='Expand/collapse section'>Coordinates: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-ab43c639-615e-461c-9232-26bdd54a7d50' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-ab43c639-615e-461c-9232-26bdd54a7d50' class='xr-section-summary'  title='Expand/collapse section'>Data variables: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-34ad4a14-8821-434d-a8e6-2b7d35c9f35d' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-34ad4a14-8821-434d-a8e6-2b7d35c9f35d' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div><div style='display: inline-grid; grid-template-columns: 0px 20px auto; width: 100%;'><div style='grid-column-start: 1;border-right: 0.2em solid;border-color: var(--xr-border-color);height: 100%;width: 0px;'></div><div style='grid-column-start: 2;grid-row-start: 1;height: 1em;width: 20px;border-bottom: 0.2em solid;border-color: var(--xr-border-color);'></div><div style='grid-column-start: 3;'><div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
        "<defs>\n",
        "<symbol id=\"icon-database\" viewBox=\"0 0 32 32\">\n",
        "<path d=\"M16 0c-8.837 0-16 2.239-16 5v4c0 2.761 7.163 5 16 5s16-2.239 16-5v-4c0-2.761-7.163-5-16-5z\"></path>\n",
@@ -7488,7 +7488,7 @@
        "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DatasetView&gt; Size: 0B\n",
        "Dimensions:  ()\n",
        "Data variables:\n",
-       "    *empty*</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>measurements</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-32b5bcab-db9d-46f4-8172-15f4677dadb3' class='xr-section-summary-in' type='checkbox'  ><label for='section-32b5bcab-db9d-46f4-8172-15f4677dadb3' class='xr-section-summary' >Groups: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><div style='display: inline-grid; grid-template-columns: 100%; grid-column: 1 / -1'><div style='display: inline-grid; grid-template-columns: 0px 20px auto; width: 100%;'><div style='grid-column-start: 1;border-right: 0.2em solid;border-color: var(--xr-border-color);height: 1.2em;width: 0px;'></div><div style='grid-column-start: 2;grid-row-start: 1;height: 1em;width: 20px;border-bottom: 0.2em solid;border-color: var(--xr-border-color);'></div><div style='grid-column-start: 3;'><div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
+       "    *empty*</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>measurements</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-b10e0484-a088-4427-8025-84939d76509a' class='xr-section-summary-in' type='checkbox'  ><label for='section-b10e0484-a088-4427-8025-84939d76509a' class='xr-section-summary' >Groups: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><div style='display: inline-grid; grid-template-columns: 100%; grid-column: 1 / -1'><div style='display: inline-grid; grid-template-columns: 0px 20px auto; width: 100%;'><div style='grid-column-start: 1;border-right: 0.2em solid;border-color: var(--xr-border-color);height: 1.2em;width: 0px;'></div><div style='grid-column-start: 2;grid-row-start: 1;height: 1em;width: 20px;border-bottom: 0.2em solid;border-color: var(--xr-border-color);'></div><div style='grid-column-start: 3;'><div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
        "<defs>\n",
        "<symbol id=\"icon-database\" viewBox=\"0 0 32 32\">\n",
        "<path d=\"M16 0c-8.837 0-16 2.239-16 5v4c0 2.761 7.163 5 16 5s16-2.239 16-5v-4c0-2.761-7.163-5-16-5z\"></path>\n",
@@ -7861,7 +7861,7 @@
        "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DatasetView&gt; Size: 0B\n",
        "Dimensions:  ()\n",
        "Data variables:\n",
-       "    *empty*</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>reflectance</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-f7f10d66-e1b3-42d6-8d32-1226b242f2a8' class='xr-section-summary-in' type='checkbox'  ><label for='section-f7f10d66-e1b3-42d6-8d32-1226b242f2a8' class='xr-section-summary' >Groups: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><div style='display: inline-grid; grid-template-columns: 100%; grid-column: 1 / -1'><div style='display: inline-grid; grid-template-columns: 0px 20px auto; width: 100%;'><div style='grid-column-start: 1;border-right: 0.2em solid;border-color: var(--xr-border-color);height: 100%;width: 0px;'></div><div style='grid-column-start: 2;grid-row-start: 1;height: 1em;width: 20px;border-bottom: 0.2em solid;border-color: var(--xr-border-color);'></div><div style='grid-column-start: 3;'><div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
+       "    *empty*</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>reflectance</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-f1d608d3-207b-4788-91ae-0e500b98b4bd' class='xr-section-summary-in' type='checkbox'  ><label for='section-f1d608d3-207b-4788-91ae-0e500b98b4bd' class='xr-section-summary' >Groups: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><div style='display: inline-grid; grid-template-columns: 100%; grid-column: 1 / -1'><div style='display: inline-grid; grid-template-columns: 0px 20px auto; width: 100%;'><div style='grid-column-start: 1;border-right: 0.2em solid;border-color: var(--xr-border-color);height: 100%;width: 0px;'></div><div style='grid-column-start: 2;grid-row-start: 1;height: 1em;width: 20px;border-bottom: 0.2em solid;border-color: var(--xr-border-color);'></div><div style='grid-column-start: 3;'><div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
        "<defs>\n",
        "<symbol id=\"icon-database\" viewBox=\"0 0 32 32\">\n",
        "<path d=\"M16 0c-8.837 0-16 2.239-16 5v4c0 2.761 7.163 5 16 5s16-2.239 16-5v-4c0-2.761-7.163-5-16-5z\"></path>\n",
@@ -8234,14 +8234,14 @@
        "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DatasetView&gt; Size: 4GB\n",
        "Dimensions:  (y: 10980, x: 10980)\n",
        "Coordinates:\n",
-       "  * x        (x) int64 88kB 300005 300015 300025 300035 ... 409775 409785 409795\n",
-       "  * y        (y) int64 88kB 5000035 5000025 5000015 ... 4890265 4890255 4890245\n",
+       "  * x        (x) int64 88kB 499985 499995 500005 500015 ... 609755 609765 609775\n",
+       "  * y        (y) int64 88kB 8000035 8000025 8000015 ... 7890265 7890255 7890245\n",
        "Data variables:\n",
        "    b02      (y, x) float64 964MB dask.array&lt;chunksize=(1830, 1830), meta=np.ndarray&gt;\n",
        "    b03      (y, x) float64 964MB dask.array&lt;chunksize=(1830, 1830), meta=np.ndarray&gt;\n",
        "    b04      (y, x) float64 964MB dask.array&lt;chunksize=(1830, 1830), meta=np.ndarray&gt;\n",
-       "    b08      (y, x) float64 964MB dask.array&lt;chunksize=(1830, 1830), meta=np.ndarray&gt;</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>r10m</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-7eb0366f-f590-4bb1-8071-438ad40290a0' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-7eb0366f-f590-4bb1-8071-438ad40290a0' class='xr-section-summary'  title='Expand/collapse section'>Groups: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><div style='display: inline-grid; grid-template-columns: 100%; grid-column: 1 / -1'></div></div></li><li class='xr-section-item'><input id='section-95bccb6d-3b3d-4f04-8639-c10ad2e5e55e' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-95bccb6d-3b3d-4f04-8639-c10ad2e5e55e' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>y</span>: 10980</li><li><span class='xr-has-index'>x</span>: 10980</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-09c19e01-5f6b-44c0-8e36-5ba020025fb0' class='xr-section-summary-in' type='checkbox'  checked><label for='section-09c19e01-5f6b-44c0-8e36-5ba020025fb0' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>300005 300015 ... 409785 409795</div><input id='attrs-d34ff4fc-67d2-4f2d-8ba1-ac2f156c04b5' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-d34ff4fc-67d2-4f2d-8ba1-ac2f156c04b5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2d51c503-4d03-41d7-8f6b-95202e265800' class='xr-var-data-in' type='checkbox'><label for='data-2d51c503-4d03-41d7-8f6b-95202e265800' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([300005, 300015, 300025, ..., 409775, 409785, 409795], shape=(10980,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>5000035 5000025 ... 4890255 4890245</div><input id='attrs-d21c2c62-3807-4335-8910-6372fd0dde5f' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-d21c2c62-3807-4335-8910-6372fd0dde5f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-729a02fa-1d52-406d-8717-bd765ec3236a' class='xr-var-data-in' type='checkbox'><label for='data-729a02fa-1d52-406d-8717-bd765ec3236a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([5000035, 5000025, 5000015, ..., 4890265, 4890255, 4890245],\n",
-       "      shape=(10980,))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-6fa9bd40-5b99-46f0-b5f3-90555c1c9160' class='xr-section-summary-in' type='checkbox'  checked><label for='section-6fa9bd40-5b99-46f0-b5f3-90555c1c9160' class='xr-section-summary' >Data variables: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>b02</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1830, 1830), meta=np.ndarray&gt;</div><input id='attrs-e2780d62-af25-4844-bda4-8c3c9f004fd2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e2780d62-af25-4844-bda4-8c3c9f004fd2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-67cbda3f-e8b4-49b9-97af-800ede6b7899' class='xr-var-data-in' type='checkbox'><label for='data-67cbda3f-e8b4-49b9-97af-800ede6b7899' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;add_offset&#x27;: -0.1, &#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;fill_value&#x27;: 0, &#x27;scale_factor&#x27;: 0.0001, &#x27;units&#x27;: &#x27;digital_counts&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u2</dd><dt><span>fill_value :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>TOA reflectance from MSI acquisition at spectral band b02 492.3 nm</dd><dt><span>proj:bbox :</span></dt><dd>[300000.0, 4890240.0, 409800.0, 5000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32632</dd><dt><span>proj:shape :</span></dt><dd>[10980, 10980]</dd><dt><span>proj:transform :</span></dt><dd>[10.0, 0.0, 300000.0, 0.0, -10.0, 5000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 32N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,9],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32632&quot;]]</dd><dt><span>units :</span></dt><dd>digital_counts</dd><dt><span>valid_max :</span></dt><dd>65535</dd><dt><span>valid_min :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    b08      (y, x) float64 964MB dask.array&lt;chunksize=(1830, 1830), meta=np.ndarray&gt;</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>r10m</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-441f8cb9-c135-4fd9-92c2-ff16facce168' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-441f8cb9-c135-4fd9-92c2-ff16facce168' class='xr-section-summary'  title='Expand/collapse section'>Groups: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><div style='display: inline-grid; grid-template-columns: 100%; grid-column: 1 / -1'></div></div></li><li class='xr-section-item'><input id='section-14880cb8-98f3-4a5e-a53a-b5ce97d9d148' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-14880cb8-98f3-4a5e-a53a-b5ce97d9d148' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>y</span>: 10980</li><li><span class='xr-has-index'>x</span>: 10980</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-b22274a1-3db6-48e9-bfd2-9b6e31f9df4a' class='xr-section-summary-in' type='checkbox'  checked><label for='section-b22274a1-3db6-48e9-bfd2-9b6e31f9df4a' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>499985 499995 ... 609765 609775</div><input id='attrs-18d77586-92c1-4ce6-b341-371be759a6b8' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-18d77586-92c1-4ce6-b341-371be759a6b8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-817b54f3-27c2-406f-b7e6-a1edd97461e1' class='xr-var-data-in' type='checkbox'><label for='data-817b54f3-27c2-406f-b7e6-a1edd97461e1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([499985, 499995, 500005, ..., 609755, 609765, 609775], shape=(10980,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>8000035 8000025 ... 7890255 7890245</div><input id='attrs-72788703-2e3c-4b41-a643-b275fe90b4e4' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-72788703-2e3c-4b41-a643-b275fe90b4e4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1e07dce3-1044-43a1-824b-79ce94f197e0' class='xr-var-data-in' type='checkbox'><label for='data-1e07dce3-1044-43a1-824b-79ce94f197e0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([8000035, 8000025, 8000015, ..., 7890265, 7890255, 7890245],\n",
+       "      shape=(10980,))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-37526b02-c722-4ab0-8c98-68c25d2fa4b2' class='xr-section-summary-in' type='checkbox'  checked><label for='section-37526b02-c722-4ab0-8c98-68c25d2fa4b2' class='xr-section-summary' >Data variables: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>b02</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1830, 1830), meta=np.ndarray&gt;</div><input id='attrs-a520ae86-169c-42e7-9d27-9052f88ff7c4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a520ae86-169c-42e7-9d27-9052f88ff7c4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-57d09736-e050-49b6-9eae-6ed044568aaa' class='xr-var-data-in' type='checkbox'><label for='data-57d09736-e050-49b6-9eae-6ed044568aaa' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;add_offset&#x27;: -0.1, &#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;dtype&#x27;: &#x27;&lt;u2&#x27;, &#x27;fill_value&#x27;: 0, &#x27;long_name&#x27;: &#x27;TOA reflectance from MSI acquisition at spectral band b02 492.3 nm&#x27;, &#x27;scale_factor&#x27;: 0.0001, &#x27;units&#x27;: &#x27;digital_counts&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u2</dd><dt><span>fill_value :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>TOA reflectance from MSI acquisition at spectral band b02 492.3 nm</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 7890240.0, 609780.0, 8000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32625</dd><dt><span>proj:shape :</span></dt><dd>[10980, 10980]</dd><dt><span>proj:transform :</span></dt><dd>[10.0, 0.0, 499980.0, 0.0, -10.0, 8000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 25N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,-33],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32625&quot;]]</dd><dt><span>units :</span></dt><dd>digital_counts</dd><dt><span>valid_max :</span></dt><dd>65535</dd><dt><span>valid_min :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -8306,7 +8306,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b03</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1830, 1830), meta=np.ndarray&gt;</div><input id='attrs-99efd16d-a43f-4ade-8d8c-859beb6746ec' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-99efd16d-a43f-4ade-8d8c-859beb6746ec' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bf4dbc52-d7bc-4827-b7a8-71cb98ae6f39' class='xr-var-data-in' type='checkbox'><label for='data-bf4dbc52-d7bc-4827-b7a8-71cb98ae6f39' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;add_offset&#x27;: -0.1, &#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;fill_value&#x27;: 0, &#x27;scale_factor&#x27;: 0.0001, &#x27;units&#x27;: &#x27;digital_counts&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u2</dd><dt><span>fill_value :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>TOA reflectance from MSI acquisition at spectral band b03 559.0 nm</dd><dt><span>proj:bbox :</span></dt><dd>[300000.0, 4890240.0, 409800.0, 5000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32632</dd><dt><span>proj:shape :</span></dt><dd>[10980, 10980]</dd><dt><span>proj:transform :</span></dt><dd>[10.0, 0.0, 300000.0, 0.0, -10.0, 5000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 32N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,9],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32632&quot;]]</dd><dt><span>units :</span></dt><dd>digital_counts</dd><dt><span>valid_max :</span></dt><dd>65535</dd><dt><span>valid_min :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b03</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1830, 1830), meta=np.ndarray&gt;</div><input id='attrs-4d1d81ca-5e16-4e6d-8025-482a85040569' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4d1d81ca-5e16-4e6d-8025-482a85040569' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dc5b8c7b-9ebf-4f4b-8ab7-5d6f2b7e43f2' class='xr-var-data-in' type='checkbox'><label for='data-dc5b8c7b-9ebf-4f4b-8ab7-5d6f2b7e43f2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;add_offset&#x27;: -0.1, &#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;dtype&#x27;: &#x27;&lt;u2&#x27;, &#x27;fill_value&#x27;: 0, &#x27;long_name&#x27;: &#x27;TOA reflectance from MSI acquisition at spectral band b03 559.0 nm&#x27;, &#x27;scale_factor&#x27;: 0.0001, &#x27;units&#x27;: &#x27;digital_counts&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u2</dd><dt><span>fill_value :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>TOA reflectance from MSI acquisition at spectral band b03 559.0 nm</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 7890240.0, 609780.0, 8000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32625</dd><dt><span>proj:shape :</span></dt><dd>[10980, 10980]</dd><dt><span>proj:transform :</span></dt><dd>[10.0, 0.0, 499980.0, 0.0, -10.0, 8000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 25N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,-33],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32625&quot;]]</dd><dt><span>units :</span></dt><dd>digital_counts</dd><dt><span>valid_max :</span></dt><dd>65535</dd><dt><span>valid_min :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -8371,7 +8371,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b04</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1830, 1830), meta=np.ndarray&gt;</div><input id='attrs-afe8ed36-5adf-42c3-a474-669a604f45a7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-afe8ed36-5adf-42c3-a474-669a604f45a7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9aeeaa97-3715-4181-a153-453247737b4a' class='xr-var-data-in' type='checkbox'><label for='data-9aeeaa97-3715-4181-a153-453247737b4a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;add_offset&#x27;: -0.1, &#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;fill_value&#x27;: 0, &#x27;scale_factor&#x27;: 0.0001, &#x27;units&#x27;: &#x27;digital_counts&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u2</dd><dt><span>fill_value :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>TOA reflectance from MSI acquisition at spectral band b04 665.0 nm</dd><dt><span>proj:bbox :</span></dt><dd>[300000.0, 4890240.0, 409800.0, 5000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32632</dd><dt><span>proj:shape :</span></dt><dd>[10980, 10980]</dd><dt><span>proj:transform :</span></dt><dd>[10.0, 0.0, 300000.0, 0.0, -10.0, 5000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 32N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,9],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32632&quot;]]</dd><dt><span>units :</span></dt><dd>digital_counts</dd><dt><span>valid_max :</span></dt><dd>65535</dd><dt><span>valid_min :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b04</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1830, 1830), meta=np.ndarray&gt;</div><input id='attrs-68113f01-1a37-4823-bcd4-142ed4a5315d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-68113f01-1a37-4823-bcd4-142ed4a5315d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ec1e345f-5e32-431f-bd0c-acb6af7fb8e7' class='xr-var-data-in' type='checkbox'><label for='data-ec1e345f-5e32-431f-bd0c-acb6af7fb8e7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;add_offset&#x27;: -0.1, &#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;dtype&#x27;: &#x27;&lt;u2&#x27;, &#x27;fill_value&#x27;: 0, &#x27;long_name&#x27;: &#x27;TOA reflectance from MSI acquisition at spectral band b04 665.0 nm&#x27;, &#x27;scale_factor&#x27;: 0.0001, &#x27;units&#x27;: &#x27;digital_counts&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u2</dd><dt><span>fill_value :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>TOA reflectance from MSI acquisition at spectral band b04 665.0 nm</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 7890240.0, 609780.0, 8000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32625</dd><dt><span>proj:shape :</span></dt><dd>[10980, 10980]</dd><dt><span>proj:transform :</span></dt><dd>[10.0, 0.0, 499980.0, 0.0, -10.0, 8000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 25N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,-33],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32625&quot;]]</dd><dt><span>units :</span></dt><dd>digital_counts</dd><dt><span>valid_max :</span></dt><dd>65535</dd><dt><span>valid_min :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -8436,7 +8436,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b08</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1830, 1830), meta=np.ndarray&gt;</div><input id='attrs-5654a46d-eb0a-4fe0-8122-b8d917de847b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5654a46d-eb0a-4fe0-8122-b8d917de847b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4ded081c-84f8-4213-9145-6c7341a5ae80' class='xr-var-data-in' type='checkbox'><label for='data-4ded081c-84f8-4213-9145-6c7341a5ae80' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;add_offset&#x27;: -0.1, &#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;fill_value&#x27;: 0, &#x27;scale_factor&#x27;: 0.0001, &#x27;units&#x27;: &#x27;digital_counts&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u2</dd><dt><span>fill_value :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>TOA reflectance from MSI acquisition at spectral band b08 833.0 nm</dd><dt><span>proj:bbox :</span></dt><dd>[300000.0, 4890240.0, 409800.0, 5000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32632</dd><dt><span>proj:shape :</span></dt><dd>[10980, 10980]</dd><dt><span>proj:transform :</span></dt><dd>[10.0, 0.0, 300000.0, 0.0, -10.0, 5000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 32N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,9],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32632&quot;]]</dd><dt><span>units :</span></dt><dd>digital_counts</dd><dt><span>valid_max :</span></dt><dd>65535</dd><dt><span>valid_min :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b08</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1830, 1830), meta=np.ndarray&gt;</div><input id='attrs-dec75d4d-5482-4a62-93ed-b5bc9d791dcb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-dec75d4d-5482-4a62-93ed-b5bc9d791dcb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8d50d5b8-82f9-468d-b003-de26671fc147' class='xr-var-data-in' type='checkbox'><label for='data-8d50d5b8-82f9-468d-b003-de26671fc147' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;add_offset&#x27;: -0.1, &#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;dtype&#x27;: &#x27;&lt;u2&#x27;, &#x27;fill_value&#x27;: 0, &#x27;long_name&#x27;: &#x27;TOA reflectance from MSI acquisition at spectral band b08 833.0 nm&#x27;, &#x27;scale_factor&#x27;: 0.0001, &#x27;units&#x27;: &#x27;digital_counts&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u2</dd><dt><span>fill_value :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>TOA reflectance from MSI acquisition at spectral band b08 833.0 nm</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 7890240.0, 609780.0, 8000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32625</dd><dt><span>proj:shape :</span></dt><dd>[10980, 10980]</dd><dt><span>proj:transform :</span></dt><dd>[10.0, 0.0, 499980.0, 0.0, -10.0, 8000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 25N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,-33],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32625&quot;]]</dd><dt><span>units :</span></dt><dd>digital_counts</dd><dt><span>valid_max :</span></dt><dd>65535</dd><dt><span>valid_min :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -8501,7 +8501,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-f15144c0-6869-4b5a-a46b-38e7593da8fd' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-f15144c0-6869-4b5a-a46b-38e7593da8fd' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div><div style='display: inline-grid; grid-template-columns: 0px 20px auto; width: 100%;'><div style='grid-column-start: 1;border-right: 0.2em solid;border-color: var(--xr-border-color);height: 100%;width: 0px;'></div><div style='grid-column-start: 2;grid-row-start: 1;height: 1em;width: 20px;border-bottom: 0.2em solid;border-color: var(--xr-border-color);'></div><div style='grid-column-start: 3;'><div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
+       "</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-72c2fc8b-3b76-4004-9731-607f8c638e40' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-72c2fc8b-3b76-4004-9731-607f8c638e40' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div><div style='display: inline-grid; grid-template-columns: 0px 20px auto; width: 100%;'><div style='grid-column-start: 1;border-right: 0.2em solid;border-color: var(--xr-border-color);height: 100%;width: 0px;'></div><div style='grid-column-start: 2;grid-row-start: 1;height: 1em;width: 20px;border-bottom: 0.2em solid;border-color: var(--xr-border-color);'></div><div style='grid-column-start: 3;'><div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
        "<defs>\n",
        "<symbol id=\"icon-database\" viewBox=\"0 0 32 32\">\n",
        "<path d=\"M16 0c-8.837 0-16 2.239-16 5v4c0 2.761 7.163 5 16 5s16-2.239 16-5v-4c0-2.761-7.163-5-16-5z\"></path>\n",
@@ -8874,16 +8874,16 @@
        "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DatasetView&gt; Size: 1GB\n",
        "Dimensions:  (y: 5490, x: 5490)\n",
        "Coordinates:\n",
-       "  * x        (x) int64 44kB 300010 300030 300050 300070 ... 409750 409770 409790\n",
-       "  * y        (y) int64 44kB 5000030 5000010 4999990 ... 4890290 4890270 4890250\n",
+       "  * x        (x) int64 44kB 499990 500010 500030 500050 ... 609730 609750 609770\n",
+       "  * y        (y) int64 44kB 8000030 8000010 7999990 ... 7890290 7890270 7890250\n",
        "Data variables:\n",
        "    b05      (y, x) float64 241MB dask.array&lt;chunksize=(915, 915), meta=np.ndarray&gt;\n",
        "    b06      (y, x) float64 241MB dask.array&lt;chunksize=(915, 915), meta=np.ndarray&gt;\n",
        "    b07      (y, x) float64 241MB dask.array&lt;chunksize=(915, 915), meta=np.ndarray&gt;\n",
        "    b11      (y, x) float64 241MB dask.array&lt;chunksize=(915, 915), meta=np.ndarray&gt;\n",
        "    b12      (y, x) float64 241MB dask.array&lt;chunksize=(915, 915), meta=np.ndarray&gt;\n",
-       "    b8a      (y, x) float64 241MB dask.array&lt;chunksize=(915, 915), meta=np.ndarray&gt;</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>r20m</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-87954cbe-81a5-4ef7-a867-0c32be00ae2f' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-87954cbe-81a5-4ef7-a867-0c32be00ae2f' class='xr-section-summary'  title='Expand/collapse section'>Groups: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><div style='display: inline-grid; grid-template-columns: 100%; grid-column: 1 / -1'></div></div></li><li class='xr-section-item'><input id='section-7d6e32b4-708c-4fe7-a106-877bffc4a0f7' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-7d6e32b4-708c-4fe7-a106-877bffc4a0f7' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>y</span>: 5490</li><li><span class='xr-has-index'>x</span>: 5490</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-f8de93c3-c077-4076-84d5-f0759e2a3787' class='xr-section-summary-in' type='checkbox'  checked><label for='section-f8de93c3-c077-4076-84d5-f0759e2a3787' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>300010 300030 ... 409770 409790</div><input id='attrs-889166b0-3e9a-42b6-addf-0dcb0e0d3918' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-889166b0-3e9a-42b6-addf-0dcb0e0d3918' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f48214ba-9e0b-4a84-b6ba-a7ceb027d1e4' class='xr-var-data-in' type='checkbox'><label for='data-f48214ba-9e0b-4a84-b6ba-a7ceb027d1e4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([300010, 300030, 300050, ..., 409750, 409770, 409790], shape=(5490,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>5000030 5000010 ... 4890270 4890250</div><input id='attrs-3e0d6169-2310-4510-bd3b-ccc3fb29f996' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-3e0d6169-2310-4510-bd3b-ccc3fb29f996' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d17b6d21-443b-409e-84b5-2b0a12b85e1b' class='xr-var-data-in' type='checkbox'><label for='data-d17b6d21-443b-409e-84b5-2b0a12b85e1b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([5000030, 5000010, 4999990, ..., 4890290, 4890270, 4890250],\n",
-       "      shape=(5490,))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-fa795ee7-16ea-47c2-9073-04ef1cb13746' class='xr-section-summary-in' type='checkbox'  checked><label for='section-fa795ee7-16ea-47c2-9073-04ef1cb13746' class='xr-section-summary' >Data variables: <span>(6)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>b05</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(915, 915), meta=np.ndarray&gt;</div><input id='attrs-b2027a85-9971-4334-b4b6-26a2c137b735' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b2027a85-9971-4334-b4b6-26a2c137b735' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e20c8910-a323-4a42-a3a4-08ed78691203' class='xr-var-data-in' type='checkbox'><label for='data-e20c8910-a323-4a42-a3a4-08ed78691203' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;add_offset&#x27;: -0.1, &#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;fill_value&#x27;: 0, &#x27;scale_factor&#x27;: 0.0001, &#x27;units&#x27;: &#x27;digital_counts&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u2</dd><dt><span>fill_value :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>TOA reflectance from MSI acquisition at spectral band b05 703.8 nm</dd><dt><span>proj:bbox :</span></dt><dd>[300000.0, 4890240.0, 409800.0, 5000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32632</dd><dt><span>proj:shape :</span></dt><dd>[5490, 5490]</dd><dt><span>proj:transform :</span></dt><dd>[20.0, 0.0, 300000.0, 0.0, -20.0, 5000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 32N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,9],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32632&quot;]]</dd><dt><span>units :</span></dt><dd>digital_counts</dd><dt><span>valid_max :</span></dt><dd>65535</dd><dt><span>valid_min :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    b8a      (y, x) float64 241MB dask.array&lt;chunksize=(915, 915), meta=np.ndarray&gt;</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>r20m</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-5d245951-88b8-42d9-9c02-c9ac4c4b8db5' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-5d245951-88b8-42d9-9c02-c9ac4c4b8db5' class='xr-section-summary'  title='Expand/collapse section'>Groups: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><div style='display: inline-grid; grid-template-columns: 100%; grid-column: 1 / -1'></div></div></li><li class='xr-section-item'><input id='section-cb98bacd-23ea-44e4-b64f-ec0fb082de69' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-cb98bacd-23ea-44e4-b64f-ec0fb082de69' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>y</span>: 5490</li><li><span class='xr-has-index'>x</span>: 5490</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-dc9ac912-4831-438c-8304-7cbfe2e446f2' class='xr-section-summary-in' type='checkbox'  checked><label for='section-dc9ac912-4831-438c-8304-7cbfe2e446f2' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>499990 500010 ... 609750 609770</div><input id='attrs-26bb6f36-c632-4860-b64a-325d2b7f38f2' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-26bb6f36-c632-4860-b64a-325d2b7f38f2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0bf376b4-0bb7-42bf-8406-357fa61ffc41' class='xr-var-data-in' type='checkbox'><label for='data-0bf376b4-0bb7-42bf-8406-357fa61ffc41' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([499990, 500010, 500030, ..., 609730, 609750, 609770], shape=(5490,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>8000030 8000010 ... 7890270 7890250</div><input id='attrs-76d5d04d-e02b-434f-968c-1377afd792ac' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-76d5d04d-e02b-434f-968c-1377afd792ac' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-df17754d-63f4-4ac8-b050-20706cd6409e' class='xr-var-data-in' type='checkbox'><label for='data-df17754d-63f4-4ac8-b050-20706cd6409e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([8000030, 8000010, 7999990, ..., 7890290, 7890270, 7890250],\n",
+       "      shape=(5490,))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-db58600c-5a33-409e-970d-e0ef98f42af7' class='xr-section-summary-in' type='checkbox'  checked><label for='section-db58600c-5a33-409e-970d-e0ef98f42af7' class='xr-section-summary' >Data variables: <span>(6)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>b05</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(915, 915), meta=np.ndarray&gt;</div><input id='attrs-e02f7dbe-52bb-44da-b978-c8633e42f7e4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e02f7dbe-52bb-44da-b978-c8633e42f7e4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a416b81b-2057-4d30-888d-0258f75e50d7' class='xr-var-data-in' type='checkbox'><label for='data-a416b81b-2057-4d30-888d-0258f75e50d7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;add_offset&#x27;: -0.1, &#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;dtype&#x27;: &#x27;&lt;u2&#x27;, &#x27;fill_value&#x27;: 0, &#x27;long_name&#x27;: &#x27;TOA reflectance from MSI acquisition at spectral band b05 703.8 nm&#x27;, &#x27;scale_factor&#x27;: 0.0001, &#x27;units&#x27;: &#x27;digital_counts&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u2</dd><dt><span>fill_value :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>TOA reflectance from MSI acquisition at spectral band b05 703.8 nm</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 7890240.0, 609780.0, 8000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32625</dd><dt><span>proj:shape :</span></dt><dd>[5490, 5490]</dd><dt><span>proj:transform :</span></dt><dd>[20.0, 0.0, 499980.0, 0.0, -20.0, 8000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 25N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,-33],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32625&quot;]]</dd><dt><span>units :</span></dt><dd>digital_counts</dd><dt><span>valid_max :</span></dt><dd>65535</dd><dt><span>valid_min :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -8948,7 +8948,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b06</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(915, 915), meta=np.ndarray&gt;</div><input id='attrs-30acbea7-8920-48f9-988f-2a08d7cb82c3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-30acbea7-8920-48f9-988f-2a08d7cb82c3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-00a82e97-efcb-4862-b510-75e22af9a633' class='xr-var-data-in' type='checkbox'><label for='data-00a82e97-efcb-4862-b510-75e22af9a633' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;add_offset&#x27;: -0.1, &#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;fill_value&#x27;: 0, &#x27;scale_factor&#x27;: 0.0001, &#x27;units&#x27;: &#x27;digital_counts&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u2</dd><dt><span>fill_value :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>TOA reflectance from MSI acquisition at spectral band b06 739.1 nm</dd><dt><span>proj:bbox :</span></dt><dd>[300000.0, 4890240.0, 409800.0, 5000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32632</dd><dt><span>proj:shape :</span></dt><dd>[5490, 5490]</dd><dt><span>proj:transform :</span></dt><dd>[20.0, 0.0, 300000.0, 0.0, -20.0, 5000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 32N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,9],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32632&quot;]]</dd><dt><span>units :</span></dt><dd>digital_counts</dd><dt><span>valid_max :</span></dt><dd>65535</dd><dt><span>valid_min :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b06</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(915, 915), meta=np.ndarray&gt;</div><input id='attrs-8385df95-3430-4410-ad81-13de00a49824' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8385df95-3430-4410-ad81-13de00a49824' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0514c5c0-cfca-4daa-971e-b1a8aee92418' class='xr-var-data-in' type='checkbox'><label for='data-0514c5c0-cfca-4daa-971e-b1a8aee92418' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;add_offset&#x27;: -0.1, &#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;dtype&#x27;: &#x27;&lt;u2&#x27;, &#x27;fill_value&#x27;: 0, &#x27;long_name&#x27;: &#x27;TOA reflectance from MSI acquisition at spectral band b06 739.1 nm&#x27;, &#x27;scale_factor&#x27;: 0.0001, &#x27;units&#x27;: &#x27;digital_counts&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u2</dd><dt><span>fill_value :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>TOA reflectance from MSI acquisition at spectral band b06 739.1 nm</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 7890240.0, 609780.0, 8000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32625</dd><dt><span>proj:shape :</span></dt><dd>[5490, 5490]</dd><dt><span>proj:transform :</span></dt><dd>[20.0, 0.0, 499980.0, 0.0, -20.0, 8000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 25N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,-33],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32625&quot;]]</dd><dt><span>units :</span></dt><dd>digital_counts</dd><dt><span>valid_max :</span></dt><dd>65535</dd><dt><span>valid_min :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -9013,7 +9013,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b07</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(915, 915), meta=np.ndarray&gt;</div><input id='attrs-ff68cd0b-743f-4617-b37b-dc4f0f19aace' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ff68cd0b-743f-4617-b37b-dc4f0f19aace' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b6b71b07-48f8-464f-aad1-a287ef5c72d3' class='xr-var-data-in' type='checkbox'><label for='data-b6b71b07-48f8-464f-aad1-a287ef5c72d3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;add_offset&#x27;: -0.1, &#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;fill_value&#x27;: 0, &#x27;scale_factor&#x27;: 0.0001, &#x27;units&#x27;: &#x27;digital_counts&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u2</dd><dt><span>fill_value :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>TOA reflectance from MSI acquisition at spectral band b07 779.7 nm</dd><dt><span>proj:bbox :</span></dt><dd>[300000.0, 4890240.0, 409800.0, 5000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32632</dd><dt><span>proj:shape :</span></dt><dd>[5490, 5490]</dd><dt><span>proj:transform :</span></dt><dd>[20.0, 0.0, 300000.0, 0.0, -20.0, 5000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 32N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,9],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32632&quot;]]</dd><dt><span>units :</span></dt><dd>digital_counts</dd><dt><span>valid_max :</span></dt><dd>65535</dd><dt><span>valid_min :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b07</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(915, 915), meta=np.ndarray&gt;</div><input id='attrs-fd1e90d7-81aa-4c7b-9d1d-4d059acabc41' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fd1e90d7-81aa-4c7b-9d1d-4d059acabc41' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6413a18f-78e5-4191-8edd-0a38b6d266f7' class='xr-var-data-in' type='checkbox'><label for='data-6413a18f-78e5-4191-8edd-0a38b6d266f7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;add_offset&#x27;: -0.1, &#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;dtype&#x27;: &#x27;&lt;u2&#x27;, &#x27;fill_value&#x27;: 0, &#x27;long_name&#x27;: &#x27;TOA reflectance from MSI acquisition at spectral band b07 779.7 nm&#x27;, &#x27;scale_factor&#x27;: 0.0001, &#x27;units&#x27;: &#x27;digital_counts&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u2</dd><dt><span>fill_value :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>TOA reflectance from MSI acquisition at spectral band b07 779.7 nm</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 7890240.0, 609780.0, 8000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32625</dd><dt><span>proj:shape :</span></dt><dd>[5490, 5490]</dd><dt><span>proj:transform :</span></dt><dd>[20.0, 0.0, 499980.0, 0.0, -20.0, 8000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 25N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,-33],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32625&quot;]]</dd><dt><span>units :</span></dt><dd>digital_counts</dd><dt><span>valid_max :</span></dt><dd>65535</dd><dt><span>valid_min :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -9078,7 +9078,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b11</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(915, 915), meta=np.ndarray&gt;</div><input id='attrs-91b80922-519b-4d9b-94e2-189905a5d6f7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-91b80922-519b-4d9b-94e2-189905a5d6f7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c54a9545-e914-4b87-84fd-73e2b0f1af4f' class='xr-var-data-in' type='checkbox'><label for='data-c54a9545-e914-4b87-84fd-73e2b0f1af4f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;add_offset&#x27;: -0.1, &#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;fill_value&#x27;: 0, &#x27;scale_factor&#x27;: 0.0001, &#x27;units&#x27;: &#x27;digital_counts&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u2</dd><dt><span>fill_value :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>TOA reflectance from MSI acquisition at spectral band b11 1610.4 nm</dd><dt><span>proj:bbox :</span></dt><dd>[300000.0, 4890240.0, 409800.0, 5000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32632</dd><dt><span>proj:shape :</span></dt><dd>[5490, 5490]</dd><dt><span>proj:transform :</span></dt><dd>[20.0, 0.0, 300000.0, 0.0, -20.0, 5000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 32N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,9],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32632&quot;]]</dd><dt><span>units :</span></dt><dd>digital_counts</dd><dt><span>valid_max :</span></dt><dd>65535</dd><dt><span>valid_min :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b11</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(915, 915), meta=np.ndarray&gt;</div><input id='attrs-9338ac89-87b4-4333-92a5-202087a10baf' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9338ac89-87b4-4333-92a5-202087a10baf' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0a124440-95c9-49ce-9d62-67e8f90f7558' class='xr-var-data-in' type='checkbox'><label for='data-0a124440-95c9-49ce-9d62-67e8f90f7558' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;add_offset&#x27;: -0.1, &#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;dtype&#x27;: &#x27;&lt;u2&#x27;, &#x27;fill_value&#x27;: 0, &#x27;long_name&#x27;: &#x27;TOA reflectance from MSI acquisition at spectral band b11 1610.4 nm&#x27;, &#x27;scale_factor&#x27;: 0.0001, &#x27;units&#x27;: &#x27;digital_counts&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u2</dd><dt><span>fill_value :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>TOA reflectance from MSI acquisition at spectral band b11 1610.4 nm</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 7890240.0, 609780.0, 8000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32625</dd><dt><span>proj:shape :</span></dt><dd>[5490, 5490]</dd><dt><span>proj:transform :</span></dt><dd>[20.0, 0.0, 499980.0, 0.0, -20.0, 8000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 25N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,-33],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32625&quot;]]</dd><dt><span>units :</span></dt><dd>digital_counts</dd><dt><span>valid_max :</span></dt><dd>65535</dd><dt><span>valid_min :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -9143,7 +9143,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b12</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(915, 915), meta=np.ndarray&gt;</div><input id='attrs-d329fb80-a02b-47a1-b282-762231a3ead1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d329fb80-a02b-47a1-b282-762231a3ead1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e52c388c-e2e0-4d42-8184-1bed2e88943f' class='xr-var-data-in' type='checkbox'><label for='data-e52c388c-e2e0-4d42-8184-1bed2e88943f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;add_offset&#x27;: -0.1, &#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;fill_value&#x27;: 0, &#x27;scale_factor&#x27;: 0.0001, &#x27;units&#x27;: &#x27;digital_counts&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u2</dd><dt><span>fill_value :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>TOA reflectance from MSI acquisition at spectral band b12 2185.7 nm</dd><dt><span>proj:bbox :</span></dt><dd>[300000.0, 4890240.0, 409800.0, 5000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32632</dd><dt><span>proj:shape :</span></dt><dd>[5490, 5490]</dd><dt><span>proj:transform :</span></dt><dd>[20.0, 0.0, 300000.0, 0.0, -20.0, 5000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 32N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,9],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32632&quot;]]</dd><dt><span>units :</span></dt><dd>digital_counts</dd><dt><span>valid_max :</span></dt><dd>65535</dd><dt><span>valid_min :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b12</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(915, 915), meta=np.ndarray&gt;</div><input id='attrs-aa593f47-3a2c-4bbe-b91e-30458a4a9d88' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-aa593f47-3a2c-4bbe-b91e-30458a4a9d88' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-289d53f4-14b4-4117-b062-ff91f53fd0ad' class='xr-var-data-in' type='checkbox'><label for='data-289d53f4-14b4-4117-b062-ff91f53fd0ad' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;add_offset&#x27;: -0.1, &#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;dtype&#x27;: &#x27;&lt;u2&#x27;, &#x27;fill_value&#x27;: 0, &#x27;long_name&#x27;: &#x27;TOA reflectance from MSI acquisition at spectral band b12 2185.7 nm&#x27;, &#x27;scale_factor&#x27;: 0.0001, &#x27;units&#x27;: &#x27;digital_counts&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u2</dd><dt><span>fill_value :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>TOA reflectance from MSI acquisition at spectral band b12 2185.7 nm</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 7890240.0, 609780.0, 8000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32625</dd><dt><span>proj:shape :</span></dt><dd>[5490, 5490]</dd><dt><span>proj:transform :</span></dt><dd>[20.0, 0.0, 499980.0, 0.0, -20.0, 8000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 25N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,-33],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32625&quot;]]</dd><dt><span>units :</span></dt><dd>digital_counts</dd><dt><span>valid_max :</span></dt><dd>65535</dd><dt><span>valid_min :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -9208,7 +9208,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b8a</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(915, 915), meta=np.ndarray&gt;</div><input id='attrs-c7917e3e-89ef-4ddd-8206-dd21e09a0054' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c7917e3e-89ef-4ddd-8206-dd21e09a0054' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-045881d7-5bf4-4f9d-a177-8b9277e0b777' class='xr-var-data-in' type='checkbox'><label for='data-045881d7-5bf4-4f9d-a177-8b9277e0b777' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;add_offset&#x27;: -0.1, &#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;fill_value&#x27;: 0, &#x27;scale_factor&#x27;: 0.0001, &#x27;units&#x27;: &#x27;digital_counts&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u2</dd><dt><span>fill_value :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>TOA reflectance from MSI acquisition at spectral band b8a 864.0 nm</dd><dt><span>proj:bbox :</span></dt><dd>[300000.0, 4890240.0, 409800.0, 5000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32632</dd><dt><span>proj:shape :</span></dt><dd>[5490, 5490]</dd><dt><span>proj:transform :</span></dt><dd>[20.0, 0.0, 300000.0, 0.0, -20.0, 5000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 32N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,9],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32632&quot;]]</dd><dt><span>units :</span></dt><dd>digital_counts</dd><dt><span>valid_max :</span></dt><dd>65535</dd><dt><span>valid_min :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b8a</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(915, 915), meta=np.ndarray&gt;</div><input id='attrs-4dfd3308-98ae-45ba-89eb-93f4615c7827' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4dfd3308-98ae-45ba-89eb-93f4615c7827' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1e655045-d38f-4eea-a482-c6f34e6fc389' class='xr-var-data-in' type='checkbox'><label for='data-1e655045-d38f-4eea-a482-c6f34e6fc389' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;add_offset&#x27;: -0.1, &#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;dtype&#x27;: &#x27;&lt;u2&#x27;, &#x27;fill_value&#x27;: 0, &#x27;long_name&#x27;: &#x27;TOA reflectance from MSI acquisition at spectral band b8a 864.0 nm&#x27;, &#x27;scale_factor&#x27;: 0.0001, &#x27;units&#x27;: &#x27;digital_counts&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u2</dd><dt><span>fill_value :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>TOA reflectance from MSI acquisition at spectral band b8a 864.0 nm</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 7890240.0, 609780.0, 8000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32625</dd><dt><span>proj:shape :</span></dt><dd>[5490, 5490]</dd><dt><span>proj:transform :</span></dt><dd>[20.0, 0.0, 499980.0, 0.0, -20.0, 8000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 25N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,-33],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32625&quot;]]</dd><dt><span>units :</span></dt><dd>digital_counts</dd><dt><span>valid_max :</span></dt><dd>65535</dd><dt><span>valid_min :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -9273,7 +9273,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-6e9dd0cf-630c-428f-8ad3-df789289dbd0' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-6e9dd0cf-630c-428f-8ad3-df789289dbd0' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div><div style='display: inline-grid; grid-template-columns: 0px 20px auto; width: 100%;'><div style='grid-column-start: 1;border-right: 0.2em solid;border-color: var(--xr-border-color);height: 1.2em;width: 0px;'></div><div style='grid-column-start: 2;grid-row-start: 1;height: 1em;width: 20px;border-bottom: 0.2em solid;border-color: var(--xr-border-color);'></div><div style='grid-column-start: 3;'><div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
+       "</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-b6207dfa-471c-4825-9420-14d90ba30dd9' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-b6207dfa-471c-4825-9420-14d90ba30dd9' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div><div style='display: inline-grid; grid-template-columns: 0px 20px auto; width: 100%;'><div style='grid-column-start: 1;border-right: 0.2em solid;border-color: var(--xr-border-color);height: 1.2em;width: 0px;'></div><div style='grid-column-start: 2;grid-row-start: 1;height: 1em;width: 20px;border-bottom: 0.2em solid;border-color: var(--xr-border-color);'></div><div style='grid-column-start: 3;'><div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
        "<defs>\n",
        "<symbol id=\"icon-database\" viewBox=\"0 0 32 32\">\n",
        "<path d=\"M16 0c-8.837 0-16 2.239-16 5v4c0 2.761 7.163 5 16 5s16-2.239 16-5v-4c0-2.761-7.163-5-16-5z\"></path>\n",
@@ -9646,13 +9646,13 @@
        "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DatasetView&gt; Size: 80MB\n",
        "Dimensions:  (y: 1830, x: 1830)\n",
        "Coordinates:\n",
-       "  * x        (x) int64 15kB 300030 300090 300150 300210 ... 409650 409710 409770\n",
-       "  * y        (y) int64 15kB 5000010 4999950 4999890 ... 4890390 4890330 4890270\n",
+       "  * x        (x) int64 15kB 500010 500070 500130 500190 ... 609630 609690 609750\n",
+       "  * y        (y) int64 15kB 8000010 7999950 7999890 ... 7890390 7890330 7890270\n",
        "Data variables:\n",
        "    b01      (y, x) float64 27MB dask.array&lt;chunksize=(305, 305), meta=np.ndarray&gt;\n",
        "    b09      (y, x) float64 27MB dask.array&lt;chunksize=(305, 305), meta=np.ndarray&gt;\n",
-       "    b10      (y, x) float64 27MB dask.array&lt;chunksize=(305, 305), meta=np.ndarray&gt;</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>r60m</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-df9f6e10-3bef-43ca-a428-f3cb36103cad' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-df9f6e10-3bef-43ca-a428-f3cb36103cad' class='xr-section-summary'  title='Expand/collapse section'>Groups: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><div style='display: inline-grid; grid-template-columns: 100%; grid-column: 1 / -1'></div></div></li><li class='xr-section-item'><input id='section-0012fc94-d7e7-4247-a085-645061824b33' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-0012fc94-d7e7-4247-a085-645061824b33' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>y</span>: 1830</li><li><span class='xr-has-index'>x</span>: 1830</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-339b025b-ba32-4acb-a880-2ca3f34f9b8e' class='xr-section-summary-in' type='checkbox'  checked><label for='section-339b025b-ba32-4acb-a880-2ca3f34f9b8e' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>300030 300090 ... 409710 409770</div><input id='attrs-d2762594-8891-4896-a32c-371ce1ba28e9' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-d2762594-8891-4896-a32c-371ce1ba28e9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-57f1ffb4-4e9a-476f-8be6-13a253bc01a8' class='xr-var-data-in' type='checkbox'><label for='data-57f1ffb4-4e9a-476f-8be6-13a253bc01a8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([300030, 300090, 300150, ..., 409650, 409710, 409770], shape=(1830,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>5000010 4999950 ... 4890330 4890270</div><input id='attrs-fc90cfb1-38f4-4bf2-b758-d4574ef09006' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-fc90cfb1-38f4-4bf2-b758-d4574ef09006' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8d9b5d76-0431-4db3-9a66-1bc9e22e9b9e' class='xr-var-data-in' type='checkbox'><label for='data-8d9b5d76-0431-4db3-9a66-1bc9e22e9b9e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([5000010, 4999950, 4999890, ..., 4890390, 4890330, 4890270],\n",
-       "      shape=(1830,))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-8b2edf8e-bfc9-48a3-993f-391d2f32b971' class='xr-section-summary-in' type='checkbox'  checked><label for='section-8b2edf8e-bfc9-48a3-993f-391d2f32b971' class='xr-section-summary' >Data variables: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>b01</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(305, 305), meta=np.ndarray&gt;</div><input id='attrs-ed028b5e-3804-4489-b612-941d3968a250' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ed028b5e-3804-4489-b612-941d3968a250' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-01ab63fd-7b84-4004-9be1-81d211bf2337' class='xr-var-data-in' type='checkbox'><label for='data-01ab63fd-7b84-4004-9be1-81d211bf2337' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;add_offset&#x27;: -0.1, &#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;fill_value&#x27;: 0, &#x27;scale_factor&#x27;: 0.0001, &#x27;units&#x27;: &#x27;digital_counts&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u2</dd><dt><span>fill_value :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>TOA reflectance from MSI acquisition at spectral band b01 442.3 nm</dd><dt><span>proj:bbox :</span></dt><dd>[300000.0, 4890240.0, 409800.0, 5000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32632</dd><dt><span>proj:shape :</span></dt><dd>[1830, 1830]</dd><dt><span>proj:transform :</span></dt><dd>[60.0, 0.0, 300000.0, 0.0, -60.0, 5000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 32N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,9],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32632&quot;]]</dd><dt><span>units :</span></dt><dd>digital_counts</dd><dt><span>valid_max :</span></dt><dd>65535</dd><dt><span>valid_min :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    b10      (y, x) float64 27MB dask.array&lt;chunksize=(305, 305), meta=np.ndarray&gt;</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>r60m</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-4fc8205f-89b1-4994-9da3-eac4e027ce43' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-4fc8205f-89b1-4994-9da3-eac4e027ce43' class='xr-section-summary'  title='Expand/collapse section'>Groups: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><div style='display: inline-grid; grid-template-columns: 100%; grid-column: 1 / -1'></div></div></li><li class='xr-section-item'><input id='section-4d68a91c-c7b1-4ed7-99e4-082eec4728b2' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-4d68a91c-c7b1-4ed7-99e4-082eec4728b2' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>y</span>: 1830</li><li><span class='xr-has-index'>x</span>: 1830</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-cbbc99dd-c8d6-49e1-b088-011cd9e0274c' class='xr-section-summary-in' type='checkbox'  checked><label for='section-cbbc99dd-c8d6-49e1-b088-011cd9e0274c' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>500010 500070 ... 609690 609750</div><input id='attrs-02a77c0d-386d-48d5-939e-b7aca6430ede' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-02a77c0d-386d-48d5-939e-b7aca6430ede' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-849e3a54-a2c3-4ab1-980d-ac3b9c2da182' class='xr-var-data-in' type='checkbox'><label for='data-849e3a54-a2c3-4ab1-980d-ac3b9c2da182' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([500010, 500070, 500130, ..., 609630, 609690, 609750], shape=(1830,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>8000010 7999950 ... 7890330 7890270</div><input id='attrs-ecd67e90-db07-4ed2-a195-9357e6181dbe' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-ecd67e90-db07-4ed2-a195-9357e6181dbe' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1b6d0c1c-25e4-4d26-be00-5e5ad79df305' class='xr-var-data-in' type='checkbox'><label for='data-1b6d0c1c-25e4-4d26-be00-5e5ad79df305' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([8000010, 7999950, 7999890, ..., 7890390, 7890330, 7890270],\n",
+       "      shape=(1830,))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-20033707-b37e-4fbc-9057-e95151c13503' class='xr-section-summary-in' type='checkbox'  checked><label for='section-20033707-b37e-4fbc-9057-e95151c13503' class='xr-section-summary' >Data variables: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>b01</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(305, 305), meta=np.ndarray&gt;</div><input id='attrs-9f695c5a-9d71-4b13-ba0a-627daf3a9a43' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9f695c5a-9d71-4b13-ba0a-627daf3a9a43' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dfdaf526-69e2-4047-9d20-31fc621a9edd' class='xr-var-data-in' type='checkbox'><label for='data-dfdaf526-69e2-4047-9d20-31fc621a9edd' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;add_offset&#x27;: -0.1, &#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;dtype&#x27;: &#x27;&lt;u2&#x27;, &#x27;fill_value&#x27;: 0, &#x27;long_name&#x27;: &#x27;TOA reflectance from MSI acquisition at spectral band b01 442.3 nm&#x27;, &#x27;scale_factor&#x27;: 0.0001, &#x27;units&#x27;: &#x27;digital_counts&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u2</dd><dt><span>fill_value :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>TOA reflectance from MSI acquisition at spectral band b01 442.3 nm</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 7890240.0, 609780.0, 8000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32625</dd><dt><span>proj:shape :</span></dt><dd>[1830, 1830]</dd><dt><span>proj:transform :</span></dt><dd>[60.0, 0.0, 499980.0, 0.0, -60.0, 8000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 25N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,-33],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32625&quot;]]</dd><dt><span>units :</span></dt><dd>digital_counts</dd><dt><span>valid_max :</span></dt><dd>65535</dd><dt><span>valid_min :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -9717,7 +9717,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b09</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(305, 305), meta=np.ndarray&gt;</div><input id='attrs-57785afa-4c30-4d07-a504-9cd8ec2437f4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-57785afa-4c30-4d07-a504-9cd8ec2437f4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6b755681-0076-4531-8509-56dc5a1467bd' class='xr-var-data-in' type='checkbox'><label for='data-6b755681-0076-4531-8509-56dc5a1467bd' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;add_offset&#x27;: -0.1, &#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;fill_value&#x27;: 0, &#x27;scale_factor&#x27;: 0.0001, &#x27;units&#x27;: &#x27;digital_counts&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u2</dd><dt><span>fill_value :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>TOA reflectance from MSI acquisition at spectral band b09 943.2 nm</dd><dt><span>proj:bbox :</span></dt><dd>[300000.0, 4890240.0, 409800.0, 5000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32632</dd><dt><span>proj:shape :</span></dt><dd>[1830, 1830]</dd><dt><span>proj:transform :</span></dt><dd>[60.0, 0.0, 300000.0, 0.0, -60.0, 5000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 32N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,9],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32632&quot;]]</dd><dt><span>units :</span></dt><dd>digital_counts</dd><dt><span>valid_max :</span></dt><dd>65535</dd><dt><span>valid_min :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b09</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(305, 305), meta=np.ndarray&gt;</div><input id='attrs-6830245c-f020-44e7-bd61-84bc4df980fc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6830245c-f020-44e7-bd61-84bc4df980fc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5f5577b0-194f-4ef1-9f19-51b4062f32ad' class='xr-var-data-in' type='checkbox'><label for='data-5f5577b0-194f-4ef1-9f19-51b4062f32ad' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;add_offset&#x27;: -0.1, &#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;dtype&#x27;: &#x27;&lt;u2&#x27;, &#x27;fill_value&#x27;: 0, &#x27;long_name&#x27;: &#x27;TOA reflectance from MSI acquisition at spectral band b09 943.2 nm&#x27;, &#x27;scale_factor&#x27;: 0.0001, &#x27;units&#x27;: &#x27;digital_counts&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u2</dd><dt><span>fill_value :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>TOA reflectance from MSI acquisition at spectral band b09 943.2 nm</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 7890240.0, 609780.0, 8000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32625</dd><dt><span>proj:shape :</span></dt><dd>[1830, 1830]</dd><dt><span>proj:transform :</span></dt><dd>[60.0, 0.0, 499980.0, 0.0, -60.0, 8000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 25N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,-33],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32625&quot;]]</dd><dt><span>units :</span></dt><dd>digital_counts</dd><dt><span>valid_max :</span></dt><dd>65535</dd><dt><span>valid_min :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -9782,7 +9782,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b10</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(305, 305), meta=np.ndarray&gt;</div><input id='attrs-c64a8917-a90a-4be1-b38a-f87e6706b7ee' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c64a8917-a90a-4be1-b38a-f87e6706b7ee' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-35959e47-0ef0-41f2-a737-1681f4d79aaf' class='xr-var-data-in' type='checkbox'><label for='data-35959e47-0ef0-41f2-a737-1681f4d79aaf' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;add_offset&#x27;: -0.1, &#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;fill_value&#x27;: 0, &#x27;scale_factor&#x27;: 0.0001, &#x27;units&#x27;: &#x27;digital_counts&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u2</dd><dt><span>fill_value :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>TOA reflectance from MSI acquisition at spectral band b10 1376.9 nm</dd><dt><span>proj:bbox :</span></dt><dd>[300000.0, 4890240.0, 409800.0, 5000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32632</dd><dt><span>proj:shape :</span></dt><dd>[1830, 1830]</dd><dt><span>proj:transform :</span></dt><dd>[60.0, 0.0, 300000.0, 0.0, -60.0, 5000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 32N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,9],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32632&quot;]]</dd><dt><span>units :</span></dt><dd>digital_counts</dd><dt><span>valid_max :</span></dt><dd>65535</dd><dt><span>valid_min :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b10</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(305, 305), meta=np.ndarray&gt;</div><input id='attrs-f1838145-59e4-435f-9599-984f8b8c170e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f1838145-59e4-435f-9599-984f8b8c170e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0c387a10-989e-4891-8624-594a513b5578' class='xr-var-data-in' type='checkbox'><label for='data-0c387a10-989e-4891-8624-594a513b5578' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;add_offset&#x27;: -0.1, &#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;dtype&#x27;: &#x27;&lt;u2&#x27;, &#x27;fill_value&#x27;: 0, &#x27;long_name&#x27;: &#x27;TOA reflectance from MSI acquisition at spectral band b10 1376.9 nm&#x27;, &#x27;scale_factor&#x27;: 0.0001, &#x27;units&#x27;: &#x27;digital_counts&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u2</dd><dt><span>fill_value :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>TOA reflectance from MSI acquisition at spectral band b10 1376.9 nm</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 7890240.0, 609780.0, 8000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32625</dd><dt><span>proj:shape :</span></dt><dd>[1830, 1830]</dd><dt><span>proj:transform :</span></dt><dd>[60.0, 0.0, 499980.0, 0.0, -60.0, 8000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 25N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,-33],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32625&quot;]]</dd><dt><span>units :</span></dt><dd>digital_counts</dd><dt><span>valid_max :</span></dt><dd>65535</dd><dt><span>valid_min :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -9847,7 +9847,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-43d94426-bf57-4bc1-9183-4cb3cbde02a2' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-43d94426-bf57-4bc1-9183-4cb3cbde02a2' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div></div></div></li><li class='xr-section-item'><input id='section-77c81da6-885c-4b49-bb77-1e1847f62e73' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-77c81da6-885c-4b49-bb77-1e1847f62e73' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-145bcdc8-d5a3-4a5f-9832-4fe5eeedc95e' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-145bcdc8-d5a3-4a5f-9832-4fe5eeedc95e' class='xr-section-summary'  title='Expand/collapse section'>Coordinates: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-0247f9ad-11d2-402a-a7f7-333f77a7c773' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-0247f9ad-11d2-402a-a7f7-333f77a7c773' class='xr-section-summary'  title='Expand/collapse section'>Data variables: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-33a1e286-fc23-4e8f-a46d-54d034a5da41' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-33a1e286-fc23-4e8f-a46d-54d034a5da41' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div></div></div></li><li class='xr-section-item'><input id='section-9129d043-c9bd-4e20-917c-14908180307b' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-9129d043-c9bd-4e20-917c-14908180307b' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-ecbed618-67e0-4be3-8a77-666e14fda16a' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-ecbed618-67e0-4be3-8a77-666e14fda16a' class='xr-section-summary'  title='Expand/collapse section'>Coordinates: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-1b8c5194-9445-4ec3-9309-0949fbedc2ba' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-1b8c5194-9445-4ec3-9309-0949fbedc2ba' class='xr-section-summary'  title='Expand/collapse section'>Data variables: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-92ad1e6a-1dd3-4741-873c-021b4eb1eefd' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-92ad1e6a-1dd3-4741-873c-021b4eb1eefd' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div><div style='display: inline-grid; grid-template-columns: 0px 20px auto; width: 100%;'><div style='grid-column-start: 1;border-right: 0.2em solid;border-color: var(--xr-border-color);height: 1.2em;width: 0px;'></div><div style='grid-column-start: 2;grid-row-start: 1;height: 1em;width: 20px;border-bottom: 0.2em solid;border-color: var(--xr-border-color);'></div><div style='grid-column-start: 3;'><div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
+       "</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-f45d1512-0e42-4785-9e14-9498d38a1454' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-f45d1512-0e42-4785-9e14-9498d38a1454' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div></div></div></li><li class='xr-section-item'><input id='section-55cfa1bf-9ea4-493d-8555-d47c8a0fd477' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-55cfa1bf-9ea4-493d-8555-d47c8a0fd477' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-9df2af96-f929-48ce-b3c6-58ad7b6c208a' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-9df2af96-f929-48ce-b3c6-58ad7b6c208a' class='xr-section-summary'  title='Expand/collapse section'>Coordinates: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-c3905df5-7f0e-4f58-8d5d-14028b8ddaf0' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-c3905df5-7f0e-4f58-8d5d-14028b8ddaf0' class='xr-section-summary'  title='Expand/collapse section'>Data variables: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-73927e26-d7af-4122-a316-b2cbd17d010d' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-73927e26-d7af-4122-a316-b2cbd17d010d' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div></div></div></li><li class='xr-section-item'><input id='section-e4fb421c-a064-4c16-bf31-181f42e8d45e' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-e4fb421c-a064-4c16-bf31-181f42e8d45e' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-b62c2934-a89f-470e-a0ec-861a50a271af' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-b62c2934-a89f-470e-a0ec-861a50a271af' class='xr-section-summary'  title='Expand/collapse section'>Coordinates: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-125c9aa0-1074-47c3-abd1-658691a20202' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-125c9aa0-1074-47c3-abd1-658691a20202' class='xr-section-summary'  title='Expand/collapse section'>Data variables: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-ac8f9f8d-de54-45a9-b6db-b77cf9d7f0bc' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-ac8f9f8d-de54-45a9-b6db-b77cf9d7f0bc' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div><div style='display: inline-grid; grid-template-columns: 0px 20px auto; width: 100%;'><div style='grid-column-start: 1;border-right: 0.2em solid;border-color: var(--xr-border-color);height: 1.2em;width: 0px;'></div><div style='grid-column-start: 2;grid-row-start: 1;height: 1em;width: 20px;border-bottom: 0.2em solid;border-color: var(--xr-border-color);'></div><div style='grid-column-start: 3;'><div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
        "<defs>\n",
        "<symbol id=\"icon-database\" viewBox=\"0 0 32 32\">\n",
        "<path d=\"M16 0c-8.837 0-16 2.239-16 5v4c0 2.761 7.163 5 16 5s16-2.239 16-5v-4c0-2.761-7.163-5-16-5z\"></path>\n",
@@ -10220,7 +10220,7 @@
        "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DatasetView&gt; Size: 0B\n",
        "Dimensions:  ()\n",
        "Data variables:\n",
-       "    *empty*</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>quality</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-f48152cb-d97a-4906-8b0e-0a4a714ce6f4' class='xr-section-summary-in' type='checkbox'  ><label for='section-f48152cb-d97a-4906-8b0e-0a4a714ce6f4' class='xr-section-summary' >Groups: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><div style='display: inline-grid; grid-template-columns: 100%; grid-column: 1 / -1'><div style='display: inline-grid; grid-template-columns: 0px 20px auto; width: 100%;'><div style='grid-column-start: 1;border-right: 0.2em solid;border-color: var(--xr-border-color);height: 100%;width: 0px;'></div><div style='grid-column-start: 2;grid-row-start: 1;height: 1em;width: 20px;border-bottom: 0.2em solid;border-color: var(--xr-border-color);'></div><div style='grid-column-start: 3;'><div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
+       "    *empty*</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>quality</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-0a28613b-7fae-4d33-8af2-9bacabf5707d' class='xr-section-summary-in' type='checkbox'  ><label for='section-0a28613b-7fae-4d33-8af2-9bacabf5707d' class='xr-section-summary' >Groups: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><div style='display: inline-grid; grid-template-columns: 100%; grid-column: 1 / -1'><div style='display: inline-grid; grid-template-columns: 0px 20px auto; width: 100%;'><div style='grid-column-start: 1;border-right: 0.2em solid;border-color: var(--xr-border-color);height: 100%;width: 0px;'></div><div style='grid-column-start: 2;grid-row-start: 1;height: 1em;width: 20px;border-bottom: 0.2em solid;border-color: var(--xr-border-color);'></div><div style='grid-column-start: 3;'><div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
        "<defs>\n",
        "<symbol id=\"icon-database\" viewBox=\"0 0 32 32\">\n",
        "<path d=\"M16 0c-8.837 0-16 2.239-16 5v4c0 2.761 7.163 5 16 5s16-2.239 16-5v-4c0-2.761-7.163-5-16-5z\"></path>\n",
@@ -10593,7 +10593,7 @@
        "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DatasetView&gt; Size: 0B\n",
        "Dimensions:  ()\n",
        "Data variables:\n",
-       "    *empty*</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>l1c_quicklook</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-334a889d-968c-49bd-ba36-c29c061ab998' class='xr-section-summary-in' type='checkbox'  ><label for='section-334a889d-968c-49bd-ba36-c29c061ab998' class='xr-section-summary' >Groups: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><div style='display: inline-grid; grid-template-columns: 100%; grid-column: 1 / -1'><div style='display: inline-grid; grid-template-columns: 0px 20px auto; width: 100%;'><div style='grid-column-start: 1;border-right: 0.2em solid;border-color: var(--xr-border-color);height: 1.2em;width: 0px;'></div><div style='grid-column-start: 2;grid-row-start: 1;height: 1em;width: 20px;border-bottom: 0.2em solid;border-color: var(--xr-border-color);'></div><div style='grid-column-start: 3;'><div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
+       "    *empty*</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>l1c_quicklook</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-8e57ea4f-71d0-4f4b-9344-24b539664c04' class='xr-section-summary-in' type='checkbox'  ><label for='section-8e57ea4f-71d0-4f4b-9344-24b539664c04' class='xr-section-summary' >Groups: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><div style='display: inline-grid; grid-template-columns: 100%; grid-column: 1 / -1'><div style='display: inline-grid; grid-template-columns: 0px 20px auto; width: 100%;'><div style='grid-column-start: 1;border-right: 0.2em solid;border-color: var(--xr-border-color);height: 1.2em;width: 0px;'></div><div style='grid-column-start: 2;grid-row-start: 1;height: 1em;width: 20px;border-bottom: 0.2em solid;border-color: var(--xr-border-color);'></div><div style='grid-column-start: 3;'><div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
        "<defs>\n",
        "<symbol id=\"icon-database\" viewBox=\"0 0 32 32\">\n",
        "<path d=\"M16 0c-8.837 0-16 2.239-16 5v4c0 2.761 7.163 5 16 5s16-2.239 16-5v-4c0-2.761-7.163-5-16-5z\"></path>\n",
@@ -10967,11 +10967,11 @@
        "Dimensions:  (band: 3, y: 10980, x: 10980)\n",
        "Coordinates:\n",
        "  * band     (band) int64 24B 1 2 3\n",
-       "  * x        (x) int64 88kB 300005 300015 300025 300035 ... 409775 409785 409795\n",
-       "  * y        (y) int64 88kB 5000035 5000025 5000015 ... 4890265 4890255 4890245\n",
+       "  * x        (x) int64 88kB 499985 499995 500005 500015 ... 609755 609765 609775\n",
+       "  * y        (y) int64 88kB 8000035 8000025 8000015 ... 7890265 7890255 7890245\n",
        "Data variables:\n",
-       "    tci      (band, y, x) uint8 362MB dask.array&lt;chunksize=(1, 1830, 1830), meta=np.ndarray&gt;</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>r10m</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-597be0b1-4c67-444b-a965-1c0f4d9f4419' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-597be0b1-4c67-444b-a965-1c0f4d9f4419' class='xr-section-summary'  title='Expand/collapse section'>Groups: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><div style='display: inline-grid; grid-template-columns: 100%; grid-column: 1 / -1'></div></div></li><li class='xr-section-item'><input id='section-e23cbb91-7882-433c-9285-89953dc6dcbc' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-e23cbb91-7882-433c-9285-89953dc6dcbc' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>band</span>: 3</li><li><span class='xr-has-index'>y</span>: 10980</li><li><span class='xr-has-index'>x</span>: 10980</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-84237934-ea96-43e8-91b6-2e0a30cfb433' class='xr-section-summary-in' type='checkbox'  checked><label for='section-84237934-ea96-43e8-91b6-2e0a30cfb433' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>band</span></div><div class='xr-var-dims'>(band)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>1 2 3</div><input id='attrs-28e03b1d-593d-486b-aa7c-55afb9bd270f' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-28e03b1d-593d-486b-aa7c-55afb9bd270f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-87256dc2-8f56-4037-a384-ddee5d0b0c00' class='xr-var-data-in' type='checkbox'><label for='data-87256dc2-8f56-4037-a384-ddee5d0b0c00' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([1, 2, 3])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>300005 300015 ... 409785 409795</div><input id='attrs-a0acd8bf-f860-4fcc-9320-d09b4a67d498' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-a0acd8bf-f860-4fcc-9320-d09b4a67d498' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-31c3eb29-5470-460b-adc7-03b94ab7da63' class='xr-var-data-in' type='checkbox'><label for='data-31c3eb29-5470-460b-adc7-03b94ab7da63' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([300005, 300015, 300025, ..., 409775, 409785, 409795], shape=(10980,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>5000035 5000025 ... 4890255 4890245</div><input id='attrs-f24ebb5b-35fd-4000-9d76-a6676425b19e' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-f24ebb5b-35fd-4000-9d76-a6676425b19e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8942ffbc-54ee-4f5b-846a-a98d6ddc17e2' class='xr-var-data-in' type='checkbox'><label for='data-8942ffbc-54ee-4f5b-846a-a98d6ddc17e2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([5000035, 5000025, 5000015, ..., 4890265, 4890255, 4890245],\n",
-       "      shape=(10980,))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-facc7cec-ca12-4598-b17b-b8a38bf29280' class='xr-section-summary-in' type='checkbox'  checked><label for='section-facc7cec-ca12-4598-b17b-b8a38bf29280' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>tci</span></div><div class='xr-var-dims'>(band, y, x)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 1830, 1830), meta=np.ndarray&gt;</div><input id='attrs-d525b4dd-c4da-42c9-a582-bc33ac97649f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d525b4dd-c4da-42c9-a582-bc33ac97649f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-366a3728-134f-45ce-a3e9-748663b33d16' class='xr-var-data-in' type='checkbox'><label for='data-366a3728-134f-45ce-a3e9-748663b33d16' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;band&#x27;, &#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;band&#x27;, &#x27;y&#x27;, &#x27;x&#x27;]}</dd><dt><span>long_name :</span></dt><dd>TCI: True Color Image</dd><dt><span>proj:bbox :</span></dt><dd>[300000.0, 4890240.0, 409800.0, 5000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32632</dd><dt><span>proj:shape :</span></dt><dd>[10980, 10980]</dd><dt><span>proj:transform :</span></dt><dd>[10.0, 0.0, 300000.0, 0.0, -10.0, 5000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 32N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,9],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32632&quot;]]</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    tci      (band, y, x) uint8 362MB dask.array&lt;chunksize=(1, 1830, 1830), meta=np.ndarray&gt;</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>r10m</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-0fd3742e-1542-416d-8566-64ffce17cff6' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-0fd3742e-1542-416d-8566-64ffce17cff6' class='xr-section-summary'  title='Expand/collapse section'>Groups: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><div style='display: inline-grid; grid-template-columns: 100%; grid-column: 1 / -1'></div></div></li><li class='xr-section-item'><input id='section-e0d298f6-b6cc-4f71-a610-59b741fb625e' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-e0d298f6-b6cc-4f71-a610-59b741fb625e' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>band</span>: 3</li><li><span class='xr-has-index'>y</span>: 10980</li><li><span class='xr-has-index'>x</span>: 10980</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-c9d06822-cbd0-4a69-9d9a-df8d9905df5a' class='xr-section-summary-in' type='checkbox'  checked><label for='section-c9d06822-cbd0-4a69-9d9a-df8d9905df5a' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>band</span></div><div class='xr-var-dims'>(band)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>1 2 3</div><input id='attrs-775fbab9-6351-4584-b6ef-aa8e099f247e' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-775fbab9-6351-4584-b6ef-aa8e099f247e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-21f136f9-e789-49db-9449-92e20f1659b7' class='xr-var-data-in' type='checkbox'><label for='data-21f136f9-e789-49db-9449-92e20f1659b7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([1, 2, 3])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>499985 499995 ... 609765 609775</div><input id='attrs-54b145de-a33d-41aa-9bd5-c1c4b6f027ee' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-54b145de-a33d-41aa-9bd5-c1c4b6f027ee' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d037001e-99cc-4880-8f93-33d3ffe0762d' class='xr-var-data-in' type='checkbox'><label for='data-d037001e-99cc-4880-8f93-33d3ffe0762d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([499985, 499995, 500005, ..., 609755, 609765, 609775], shape=(10980,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>8000035 8000025 ... 7890255 7890245</div><input id='attrs-3ee3a4ab-a3c6-4ffb-99be-4960db4c5072' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-3ee3a4ab-a3c6-4ffb-99be-4960db4c5072' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-da377b28-59ce-44fa-8344-b6d1b8d53ea3' class='xr-var-data-in' type='checkbox'><label for='data-da377b28-59ce-44fa-8344-b6d1b8d53ea3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([8000035, 8000025, 8000015, ..., 7890265, 7890255, 7890245],\n",
+       "      shape=(10980,))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-68054215-28c6-4002-ba07-bd07e6523a4d' class='xr-section-summary-in' type='checkbox'  checked><label for='section-68054215-28c6-4002-ba07-bd07e6523a4d' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>tci</span></div><div class='xr-var-dims'>(band, y, x)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 1830, 1830), meta=np.ndarray&gt;</div><input id='attrs-6bc4a5c6-4395-42b1-9c72-6f13d7d34258' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6bc4a5c6-4395-42b1-9c72-6f13d7d34258' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3d31beb1-7f5d-473c-b310-c35fac761926' class='xr-var-data-in' type='checkbox'><label for='data-3d31beb1-7f5d-473c-b310-c35fac761926' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;band&#x27;, &#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;band&#x27;, &#x27;y&#x27;, &#x27;x&#x27;], &#x27;long_name&#x27;: &#x27;TCI: True Color Image&#x27;}</dd><dt><span>long_name :</span></dt><dd>TCI: True Color Image</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 7890240.0, 609780.0, 8000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32625</dd><dt><span>proj:shape :</span></dt><dd>[10980, 10980]</dd><dt><span>proj:transform :</span></dt><dd>[10.0, 0.0, 499980.0, 0.0, -10.0, 8000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 25N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,-33],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32625&quot;]]</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -11073,7 +11073,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-c4ae35e4-75f7-4875-970b-e3c2706cc496' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-c4ae35e4-75f7-4875-970b-e3c2706cc496' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div></div></div></li><li class='xr-section-item'><input id='section-35447ae4-ff5d-4855-aee3-5b47d7df04b6' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-35447ae4-ff5d-4855-aee3-5b47d7df04b6' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-f1978fed-6426-44d4-b61f-ccf4915b221e' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-f1978fed-6426-44d4-b61f-ccf4915b221e' class='xr-section-summary'  title='Expand/collapse section'>Coordinates: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-a2e8fa8f-c4bf-468a-abbd-c3f916ea6822' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-a2e8fa8f-c4bf-468a-abbd-c3f916ea6822' class='xr-section-summary'  title='Expand/collapse section'>Data variables: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-acf7e515-eb23-4cce-9c30-d72393fbe62b' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-acf7e515-eb23-4cce-9c30-d72393fbe62b' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div><div style='display: inline-grid; grid-template-columns: 0px 20px auto; width: 100%;'><div style='grid-column-start: 1;border-right: 0.2em solid;border-color: var(--xr-border-color);height: 1.2em;width: 0px;'></div><div style='grid-column-start: 2;grid-row-start: 1;height: 1em;width: 20px;border-bottom: 0.2em solid;border-color: var(--xr-border-color);'></div><div style='grid-column-start: 3;'><div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
+       "</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-5ad4e182-4e1b-45f5-8081-349dc1a04a89' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-5ad4e182-4e1b-45f5-8081-349dc1a04a89' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div></div></div></li><li class='xr-section-item'><input id='section-21a7cfe6-bab3-492c-a875-afe82369a31f' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-21a7cfe6-bab3-492c-a875-afe82369a31f' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-26df5def-688d-418f-b8ae-546d34a9f53e' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-26df5def-688d-418f-b8ae-546d34a9f53e' class='xr-section-summary'  title='Expand/collapse section'>Coordinates: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-b5597706-d13d-4958-9e56-52f01f6c386b' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-b5597706-d13d-4958-9e56-52f01f6c386b' class='xr-section-summary'  title='Expand/collapse section'>Data variables: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-db279000-e1f9-431f-809d-b3a54f7a54af' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-db279000-e1f9-431f-809d-b3a54f7a54af' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div><div style='display: inline-grid; grid-template-columns: 0px 20px auto; width: 100%;'><div style='grid-column-start: 1;border-right: 0.2em solid;border-color: var(--xr-border-color);height: 1.2em;width: 0px;'></div><div style='grid-column-start: 2;grid-row-start: 1;height: 1em;width: 20px;border-bottom: 0.2em solid;border-color: var(--xr-border-color);'></div><div style='grid-column-start: 3;'><div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
        "<defs>\n",
        "<symbol id=\"icon-database\" viewBox=\"0 0 32 32\">\n",
        "<path d=\"M16 0c-8.837 0-16 2.239-16 5v4c0 2.761 7.163 5 16 5s16-2.239 16-5v-4c0-2.761-7.163-5-16-5z\"></path>\n",
@@ -11446,7 +11446,7 @@
        "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DatasetView&gt; Size: 0B\n",
        "Dimensions:  ()\n",
        "Data variables:\n",
-       "    *empty*</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>mask</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-c8bbbe1d-930f-4615-a0be-6e6512321d48' class='xr-section-summary-in' type='checkbox'  ><label for='section-c8bbbe1d-930f-4615-a0be-6e6512321d48' class='xr-section-summary' >Groups: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><div style='display: inline-grid; grid-template-columns: 100%; grid-column: 1 / -1'><div style='display: inline-grid; grid-template-columns: 0px 20px auto; width: 100%;'><div style='grid-column-start: 1;border-right: 0.2em solid;border-color: var(--xr-border-color);height: 100%;width: 0px;'></div><div style='grid-column-start: 2;grid-row-start: 1;height: 1em;width: 20px;border-bottom: 0.2em solid;border-color: var(--xr-border-color);'></div><div style='grid-column-start: 3;'><div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
+       "    *empty*</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>mask</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-c4ab9f63-26d6-4605-bd43-90081df06f78' class='xr-section-summary-in' type='checkbox'  ><label for='section-c4ab9f63-26d6-4605-bd43-90081df06f78' class='xr-section-summary' >Groups: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><div style='display: inline-grid; grid-template-columns: 100%; grid-column: 1 / -1'><div style='display: inline-grid; grid-template-columns: 0px 20px auto; width: 100%;'><div style='grid-column-start: 1;border-right: 0.2em solid;border-color: var(--xr-border-color);height: 100%;width: 0px;'></div><div style='grid-column-start: 2;grid-row-start: 1;height: 1em;width: 20px;border-bottom: 0.2em solid;border-color: var(--xr-border-color);'></div><div style='grid-column-start: 3;'><div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
        "<defs>\n",
        "<symbol id=\"icon-database\" viewBox=\"0 0 32 32\">\n",
        "<path d=\"M16 0c-8.837 0-16 2.239-16 5v4c0 2.761 7.163 5 16 5s16-2.239 16-5v-4c0-2.761-7.163-5-16-5z\"></path>\n",
@@ -11819,14 +11819,14 @@
        "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DatasetView&gt; Size: 482MB\n",
        "Dimensions:  (y: 10980, x: 10980)\n",
        "Coordinates:\n",
-       "  * x        (x) int64 88kB 300005 300015 300025 300035 ... 409775 409785 409795\n",
-       "  * y        (y) int64 88kB 5000035 5000025 5000015 ... 4890265 4890255 4890245\n",
+       "  * x        (x) int64 88kB 499985 499995 500005 500015 ... 609755 609765 609775\n",
+       "  * y        (y) int64 88kB 8000035 8000025 8000015 ... 7890265 7890255 7890245\n",
        "Data variables:\n",
        "    b02      (y, x) uint8 121MB dask.array&lt;chunksize=(1830, 1830), meta=np.ndarray&gt;\n",
        "    b03      (y, x) uint8 121MB dask.array&lt;chunksize=(1830, 1830), meta=np.ndarray&gt;\n",
        "    b04      (y, x) uint8 121MB dask.array&lt;chunksize=(1830, 1830), meta=np.ndarray&gt;\n",
-       "    b08      (y, x) uint8 121MB dask.array&lt;chunksize=(1830, 1830), meta=np.ndarray&gt;</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>r10m</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-3f8d344a-69ee-4151-82df-999895dac55a' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-3f8d344a-69ee-4151-82df-999895dac55a' class='xr-section-summary'  title='Expand/collapse section'>Groups: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><div style='display: inline-grid; grid-template-columns: 100%; grid-column: 1 / -1'></div></div></li><li class='xr-section-item'><input id='section-0c124367-8db3-4eaf-a8fb-2365b4b37c17' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-0c124367-8db3-4eaf-a8fb-2365b4b37c17' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>y</span>: 10980</li><li><span class='xr-has-index'>x</span>: 10980</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-0986e379-1ac7-4e8b-bf1b-c078ae2ae8f1' class='xr-section-summary-in' type='checkbox'  checked><label for='section-0986e379-1ac7-4e8b-bf1b-c078ae2ae8f1' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>300005 300015 ... 409785 409795</div><input id='attrs-8bb7c798-4b33-4adf-aa51-e4479e9edd5b' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-8bb7c798-4b33-4adf-aa51-e4479e9edd5b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-724af1d8-8250-4f89-be03-1cdea2fc8c9c' class='xr-var-data-in' type='checkbox'><label for='data-724af1d8-8250-4f89-be03-1cdea2fc8c9c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([300005, 300015, 300025, ..., 409775, 409785, 409795], shape=(10980,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>5000035 5000025 ... 4890255 4890245</div><input id='attrs-96982352-ed5c-467f-a1c6-984a2fc53c68' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-96982352-ed5c-467f-a1c6-984a2fc53c68' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cfd1e964-1ac0-4233-bcfd-033f8444b005' class='xr-var-data-in' type='checkbox'><label for='data-cfd1e964-1ac0-4233-bcfd-033f8444b005' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([5000035, 5000025, 5000015, ..., 4890265, 4890255, 4890245],\n",
-       "      shape=(10980,))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-729f8889-3ecd-4b60-9507-68821a017092' class='xr-section-summary-in' type='checkbox'  checked><label for='section-729f8889-3ecd-4b60-9507-68821a017092' class='xr-section-summary' >Data variables: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>b02</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1830, 1830), meta=np.ndarray&gt;</div><input id='attrs-49105ee8-b9a0-4a78-a3e7-f8a818d03278' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-49105ee8-b9a0-4a78-a3e7-f8a818d03278' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c77b22cc-50cc-4f1f-a4e5-72d165555595' class='xr-var-data-in' type='checkbox'><label for='data-c77b22cc-50cc-4f1f-a4e5-72d165555595' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;flag_masks&#x27;: [1, 2, 4, 8, 16, 32, 64, 128], &#x27;flag_meanings&#x27;: [&#x27;ANC_LOST&#x27;, &#x27;ANC_DEG&#x27;, &#x27;MSI_LOST&#x27;, &#x27;MSI_DEG&#x27;, &#x27;QT_DEFECTIVE_PIXELS&#x27;, &#x27;QT_NODATA_PIXELS&#x27;, &#x27;QT_PARTIALLY_CORRECTED_PIXELS&#x27;, &#x27;QT_SATURATED_PIXELS_L1A&#x27;]}</dd><dt><span>dtype :</span></dt><dd>&lt;u1</dd><dt><span>flag_masks :</span></dt><dd>[1, 2, 4, 8, 16, 32, 64, 128]</dd><dt><span>flag_meanings :</span></dt><dd>[&#x27;ANC_LOST&#x27;, &#x27;ANC_DEG&#x27;, &#x27;MSI_LOST&#x27;, &#x27;MSI_DEG&#x27;, &#x27;QT_DEFECTIVE_PIXELS&#x27;, &#x27;QT_NODATA_PIXELS&#x27;, &#x27;QT_PARTIALLY_CORRECTED_PIXELS&#x27;, &#x27;QT_SATURATED_PIXELS_L1A&#x27;]</dd><dt><span>long_name :</span></dt><dd>quality mask provided in the final reference frame (ground geometry)</dd><dt><span>proj:bbox :</span></dt><dd>[300000.0, 4890240.0, 409800.0, 5000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32632</dd><dt><span>proj:shape :</span></dt><dd>[10980, 10980]</dd><dt><span>proj:transform :</span></dt><dd>[10.0, 0.0, 300000.0, 0.0, -10.0, 5000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 32N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,9],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32632&quot;]]</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    b08      (y, x) uint8 121MB dask.array&lt;chunksize=(1830, 1830), meta=np.ndarray&gt;</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>r10m</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-410fb39b-d467-4da0-91d9-a45141b2f8ae' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-410fb39b-d467-4da0-91d9-a45141b2f8ae' class='xr-section-summary'  title='Expand/collapse section'>Groups: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><div style='display: inline-grid; grid-template-columns: 100%; grid-column: 1 / -1'></div></div></li><li class='xr-section-item'><input id='section-ea25d22b-940d-4265-a8a7-13d51582b709' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-ea25d22b-940d-4265-a8a7-13d51582b709' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>y</span>: 10980</li><li><span class='xr-has-index'>x</span>: 10980</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-6600de24-90fe-4f3c-832a-8c54354ed479' class='xr-section-summary-in' type='checkbox'  checked><label for='section-6600de24-90fe-4f3c-832a-8c54354ed479' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>499985 499995 ... 609765 609775</div><input id='attrs-3fab6cf7-e9cc-4dba-a698-86dd943a640c' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-3fab6cf7-e9cc-4dba-a698-86dd943a640c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b95e27c2-e8e2-4ca9-85f1-e56a0c870966' class='xr-var-data-in' type='checkbox'><label for='data-b95e27c2-e8e2-4ca9-85f1-e56a0c870966' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([499985, 499995, 500005, ..., 609755, 609765, 609775], shape=(10980,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>8000035 8000025 ... 7890255 7890245</div><input id='attrs-f7be9068-e712-4e3f-adf5-36e36dd219f5' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-f7be9068-e712-4e3f-adf5-36e36dd219f5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9e84513b-2d7d-4263-aab9-d4a12385657c' class='xr-var-data-in' type='checkbox'><label for='data-9e84513b-2d7d-4263-aab9-d4a12385657c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([8000035, 8000025, 8000015, ..., 7890265, 7890255, 7890245],\n",
+       "      shape=(10980,))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-ff52c832-c338-47c0-afd1-0d558bd076de' class='xr-section-summary-in' type='checkbox'  checked><label for='section-ff52c832-c338-47c0-afd1-0d558bd076de' class='xr-section-summary' >Data variables: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>b02</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1830, 1830), meta=np.ndarray&gt;</div><input id='attrs-38a32fdf-bf32-4642-bdaa-1ec7ef5d02c6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-38a32fdf-bf32-4642-bdaa-1ec7ef5d02c6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-14a9d75b-2dbb-406e-9884-685b73fcd894' class='xr-var-data-in' type='checkbox'><label for='data-14a9d75b-2dbb-406e-9884-685b73fcd894' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;dtype&#x27;: &#x27;&lt;u1&#x27;, &#x27;flag_masks&#x27;: [1, 2, 4, 8, 16, 32, 64, 128], &#x27;flag_meanings&#x27;: [&#x27;ANC_LOST&#x27;, &#x27;ANC_DEG&#x27;, &#x27;MSI_LOST&#x27;, &#x27;MSI_DEG&#x27;, &#x27;QT_DEFECTIVE_PIXELS&#x27;, &#x27;QT_NODATA_PIXELS&#x27;, &#x27;QT_PARTIALLY_CORRECTED_PIXELS&#x27;, &#x27;QT_SATURATED_PIXELS_L1A&#x27;], &#x27;long_name&#x27;: &#x27;quality mask provided in the final reference frame (ground geometry)&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u1</dd><dt><span>flag_masks :</span></dt><dd>[1, 2, 4, 8, 16, 32, 64, 128]</dd><dt><span>flag_meanings :</span></dt><dd>[&#x27;ANC_LOST&#x27;, &#x27;ANC_DEG&#x27;, &#x27;MSI_LOST&#x27;, &#x27;MSI_DEG&#x27;, &#x27;QT_DEFECTIVE_PIXELS&#x27;, &#x27;QT_NODATA_PIXELS&#x27;, &#x27;QT_PARTIALLY_CORRECTED_PIXELS&#x27;, &#x27;QT_SATURATED_PIXELS_L1A&#x27;]</dd><dt><span>long_name :</span></dt><dd>quality mask provided in the final reference frame (ground geometry)</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 7890240.0, 609780.0, 8000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32625</dd><dt><span>proj:shape :</span></dt><dd>[10980, 10980]</dd><dt><span>proj:transform :</span></dt><dd>[10.0, 0.0, 499980.0, 0.0, -10.0, 8000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 25N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,-33],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32625&quot;]]</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -11891,7 +11891,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b03</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1830, 1830), meta=np.ndarray&gt;</div><input id='attrs-d743b381-3152-49a9-b362-01956093f5af' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d743b381-3152-49a9-b362-01956093f5af' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d638c52e-3393-4bf7-b8c6-c67531dc31f4' class='xr-var-data-in' type='checkbox'><label for='data-d638c52e-3393-4bf7-b8c6-c67531dc31f4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;flag_masks&#x27;: [1, 2, 4, 8, 16, 32, 64, 128], &#x27;flag_meanings&#x27;: [&#x27;ANC_LOST&#x27;, &#x27;ANC_DEG&#x27;, &#x27;MSI_LOST&#x27;, &#x27;MSI_DEG&#x27;, &#x27;QT_DEFECTIVE_PIXELS&#x27;, &#x27;QT_NODATA_PIXELS&#x27;, &#x27;QT_PARTIALLY_CORRECTED_PIXELS&#x27;, &#x27;QT_SATURATED_PIXELS_L1A&#x27;]}</dd><dt><span>dtype :</span></dt><dd>&lt;u1</dd><dt><span>flag_masks :</span></dt><dd>[1, 2, 4, 8, 16, 32, 64, 128]</dd><dt><span>flag_meanings :</span></dt><dd>[&#x27;ANC_LOST&#x27;, &#x27;ANC_DEG&#x27;, &#x27;MSI_LOST&#x27;, &#x27;MSI_DEG&#x27;, &#x27;QT_DEFECTIVE_PIXELS&#x27;, &#x27;QT_NODATA_PIXELS&#x27;, &#x27;QT_PARTIALLY_CORRECTED_PIXELS&#x27;, &#x27;QT_SATURATED_PIXELS_L1A&#x27;]</dd><dt><span>long_name :</span></dt><dd>quality mask provided in the final reference frame (ground geometry)</dd><dt><span>proj:bbox :</span></dt><dd>[300000.0, 4890240.0, 409800.0, 5000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32632</dd><dt><span>proj:shape :</span></dt><dd>[10980, 10980]</dd><dt><span>proj:transform :</span></dt><dd>[10.0, 0.0, 300000.0, 0.0, -10.0, 5000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 32N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,9],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32632&quot;]]</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b03</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1830, 1830), meta=np.ndarray&gt;</div><input id='attrs-4553ee4a-0eb9-4808-9446-06d0e3fde402' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4553ee4a-0eb9-4808-9446-06d0e3fde402' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cadd9162-cebf-48bf-b990-95afcda996c7' class='xr-var-data-in' type='checkbox'><label for='data-cadd9162-cebf-48bf-b990-95afcda996c7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;dtype&#x27;: &#x27;&lt;u1&#x27;, &#x27;flag_masks&#x27;: [1, 2, 4, 8, 16, 32, 64, 128], &#x27;flag_meanings&#x27;: [&#x27;ANC_LOST&#x27;, &#x27;ANC_DEG&#x27;, &#x27;MSI_LOST&#x27;, &#x27;MSI_DEG&#x27;, &#x27;QT_DEFECTIVE_PIXELS&#x27;, &#x27;QT_NODATA_PIXELS&#x27;, &#x27;QT_PARTIALLY_CORRECTED_PIXELS&#x27;, &#x27;QT_SATURATED_PIXELS_L1A&#x27;], &#x27;long_name&#x27;: &#x27;quality mask provided in the final reference frame (ground geometry)&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u1</dd><dt><span>flag_masks :</span></dt><dd>[1, 2, 4, 8, 16, 32, 64, 128]</dd><dt><span>flag_meanings :</span></dt><dd>[&#x27;ANC_LOST&#x27;, &#x27;ANC_DEG&#x27;, &#x27;MSI_LOST&#x27;, &#x27;MSI_DEG&#x27;, &#x27;QT_DEFECTIVE_PIXELS&#x27;, &#x27;QT_NODATA_PIXELS&#x27;, &#x27;QT_PARTIALLY_CORRECTED_PIXELS&#x27;, &#x27;QT_SATURATED_PIXELS_L1A&#x27;]</dd><dt><span>long_name :</span></dt><dd>quality mask provided in the final reference frame (ground geometry)</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 7890240.0, 609780.0, 8000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32625</dd><dt><span>proj:shape :</span></dt><dd>[10980, 10980]</dd><dt><span>proj:transform :</span></dt><dd>[10.0, 0.0, 499980.0, 0.0, -10.0, 8000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 25N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,-33],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32625&quot;]]</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -11956,7 +11956,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b04</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1830, 1830), meta=np.ndarray&gt;</div><input id='attrs-c7107442-ba13-483a-9e9d-ac3d14a1d0b3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c7107442-ba13-483a-9e9d-ac3d14a1d0b3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6765c60e-74bc-4743-8ac5-83cc0f5d75bf' class='xr-var-data-in' type='checkbox'><label for='data-6765c60e-74bc-4743-8ac5-83cc0f5d75bf' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;flag_masks&#x27;: [1, 2, 4, 8, 16, 32, 64, 128], &#x27;flag_meanings&#x27;: [&#x27;ANC_LOST&#x27;, &#x27;ANC_DEG&#x27;, &#x27;MSI_LOST&#x27;, &#x27;MSI_DEG&#x27;, &#x27;QT_DEFECTIVE_PIXELS&#x27;, &#x27;QT_NODATA_PIXELS&#x27;, &#x27;QT_PARTIALLY_CORRECTED_PIXELS&#x27;, &#x27;QT_SATURATED_PIXELS_L1A&#x27;]}</dd><dt><span>dtype :</span></dt><dd>&lt;u1</dd><dt><span>flag_masks :</span></dt><dd>[1, 2, 4, 8, 16, 32, 64, 128]</dd><dt><span>flag_meanings :</span></dt><dd>[&#x27;ANC_LOST&#x27;, &#x27;ANC_DEG&#x27;, &#x27;MSI_LOST&#x27;, &#x27;MSI_DEG&#x27;, &#x27;QT_DEFECTIVE_PIXELS&#x27;, &#x27;QT_NODATA_PIXELS&#x27;, &#x27;QT_PARTIALLY_CORRECTED_PIXELS&#x27;, &#x27;QT_SATURATED_PIXELS_L1A&#x27;]</dd><dt><span>long_name :</span></dt><dd>quality mask provided in the final reference frame (ground geometry)</dd><dt><span>proj:bbox :</span></dt><dd>[300000.0, 4890240.0, 409800.0, 5000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32632</dd><dt><span>proj:shape :</span></dt><dd>[10980, 10980]</dd><dt><span>proj:transform :</span></dt><dd>[10.0, 0.0, 300000.0, 0.0, -10.0, 5000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 32N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,9],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32632&quot;]]</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b04</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1830, 1830), meta=np.ndarray&gt;</div><input id='attrs-f13c2982-e026-4a91-a4eb-91c821a55a11' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f13c2982-e026-4a91-a4eb-91c821a55a11' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a99605dc-85fd-4e80-bce9-f4c671165627' class='xr-var-data-in' type='checkbox'><label for='data-a99605dc-85fd-4e80-bce9-f4c671165627' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;dtype&#x27;: &#x27;&lt;u1&#x27;, &#x27;flag_masks&#x27;: [1, 2, 4, 8, 16, 32, 64, 128], &#x27;flag_meanings&#x27;: [&#x27;ANC_LOST&#x27;, &#x27;ANC_DEG&#x27;, &#x27;MSI_LOST&#x27;, &#x27;MSI_DEG&#x27;, &#x27;QT_DEFECTIVE_PIXELS&#x27;, &#x27;QT_NODATA_PIXELS&#x27;, &#x27;QT_PARTIALLY_CORRECTED_PIXELS&#x27;, &#x27;QT_SATURATED_PIXELS_L1A&#x27;], &#x27;long_name&#x27;: &#x27;quality mask provided in the final reference frame (ground geometry)&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u1</dd><dt><span>flag_masks :</span></dt><dd>[1, 2, 4, 8, 16, 32, 64, 128]</dd><dt><span>flag_meanings :</span></dt><dd>[&#x27;ANC_LOST&#x27;, &#x27;ANC_DEG&#x27;, &#x27;MSI_LOST&#x27;, &#x27;MSI_DEG&#x27;, &#x27;QT_DEFECTIVE_PIXELS&#x27;, &#x27;QT_NODATA_PIXELS&#x27;, &#x27;QT_PARTIALLY_CORRECTED_PIXELS&#x27;, &#x27;QT_SATURATED_PIXELS_L1A&#x27;]</dd><dt><span>long_name :</span></dt><dd>quality mask provided in the final reference frame (ground geometry)</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 7890240.0, 609780.0, 8000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32625</dd><dt><span>proj:shape :</span></dt><dd>[10980, 10980]</dd><dt><span>proj:transform :</span></dt><dd>[10.0, 0.0, 499980.0, 0.0, -10.0, 8000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 25N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,-33],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32625&quot;]]</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -12021,7 +12021,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b08</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1830, 1830), meta=np.ndarray&gt;</div><input id='attrs-59e217aa-46d3-4241-baae-c9fe52b13479' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-59e217aa-46d3-4241-baae-c9fe52b13479' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-82aedc8d-6412-4124-b4e5-2e0f8150b2b0' class='xr-var-data-in' type='checkbox'><label for='data-82aedc8d-6412-4124-b4e5-2e0f8150b2b0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;flag_masks&#x27;: [1, 2, 4, 8, 16, 32, 64, 128], &#x27;flag_meanings&#x27;: [&#x27;ANC_LOST&#x27;, &#x27;ANC_DEG&#x27;, &#x27;MSI_LOST&#x27;, &#x27;MSI_DEG&#x27;, &#x27;QT_DEFECTIVE_PIXELS&#x27;, &#x27;QT_NODATA_PIXELS&#x27;, &#x27;QT_PARTIALLY_CORRECTED_PIXELS&#x27;, &#x27;QT_SATURATED_PIXELS_L1A&#x27;]}</dd><dt><span>dtype :</span></dt><dd>&lt;u1</dd><dt><span>flag_masks :</span></dt><dd>[1, 2, 4, 8, 16, 32, 64, 128]</dd><dt><span>flag_meanings :</span></dt><dd>[&#x27;ANC_LOST&#x27;, &#x27;ANC_DEG&#x27;, &#x27;MSI_LOST&#x27;, &#x27;MSI_DEG&#x27;, &#x27;QT_DEFECTIVE_PIXELS&#x27;, &#x27;QT_NODATA_PIXELS&#x27;, &#x27;QT_PARTIALLY_CORRECTED_PIXELS&#x27;, &#x27;QT_SATURATED_PIXELS_L1A&#x27;]</dd><dt><span>long_name :</span></dt><dd>quality mask provided in the final reference frame (ground geometry)</dd><dt><span>proj:bbox :</span></dt><dd>[300000.0, 4890240.0, 409800.0, 5000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32632</dd><dt><span>proj:shape :</span></dt><dd>[10980, 10980]</dd><dt><span>proj:transform :</span></dt><dd>[10.0, 0.0, 300000.0, 0.0, -10.0, 5000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 32N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,9],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32632&quot;]]</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b08</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1830, 1830), meta=np.ndarray&gt;</div><input id='attrs-63cd141c-72f7-499f-a8e0-3f7789be8717' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-63cd141c-72f7-499f-a8e0-3f7789be8717' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-89301346-11c3-4688-9dbb-05ac821b2644' class='xr-var-data-in' type='checkbox'><label for='data-89301346-11c3-4688-9dbb-05ac821b2644' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;dtype&#x27;: &#x27;&lt;u1&#x27;, &#x27;flag_masks&#x27;: [1, 2, 4, 8, 16, 32, 64, 128], &#x27;flag_meanings&#x27;: [&#x27;ANC_LOST&#x27;, &#x27;ANC_DEG&#x27;, &#x27;MSI_LOST&#x27;, &#x27;MSI_DEG&#x27;, &#x27;QT_DEFECTIVE_PIXELS&#x27;, &#x27;QT_NODATA_PIXELS&#x27;, &#x27;QT_PARTIALLY_CORRECTED_PIXELS&#x27;, &#x27;QT_SATURATED_PIXELS_L1A&#x27;], &#x27;long_name&#x27;: &#x27;quality mask provided in the final reference frame (ground geometry)&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u1</dd><dt><span>flag_masks :</span></dt><dd>[1, 2, 4, 8, 16, 32, 64, 128]</dd><dt><span>flag_meanings :</span></dt><dd>[&#x27;ANC_LOST&#x27;, &#x27;ANC_DEG&#x27;, &#x27;MSI_LOST&#x27;, &#x27;MSI_DEG&#x27;, &#x27;QT_DEFECTIVE_PIXELS&#x27;, &#x27;QT_NODATA_PIXELS&#x27;, &#x27;QT_PARTIALLY_CORRECTED_PIXELS&#x27;, &#x27;QT_SATURATED_PIXELS_L1A&#x27;]</dd><dt><span>long_name :</span></dt><dd>quality mask provided in the final reference frame (ground geometry)</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 7890240.0, 609780.0, 8000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32625</dd><dt><span>proj:shape :</span></dt><dd>[10980, 10980]</dd><dt><span>proj:transform :</span></dt><dd>[10.0, 0.0, 499980.0, 0.0, -10.0, 8000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 25N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,-33],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32625&quot;]]</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -12086,7 +12086,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-e8ecec86-cb6a-4d1d-a330-50ae2b43eb25' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-e8ecec86-cb6a-4d1d-a330-50ae2b43eb25' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div><div style='display: inline-grid; grid-template-columns: 0px 20px auto; width: 100%;'><div style='grid-column-start: 1;border-right: 0.2em solid;border-color: var(--xr-border-color);height: 100%;width: 0px;'></div><div style='grid-column-start: 2;grid-row-start: 1;height: 1em;width: 20px;border-bottom: 0.2em solid;border-color: var(--xr-border-color);'></div><div style='grid-column-start: 3;'><div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
+       "</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-97d87cb6-a801-459e-bf85-e856b55cb45e' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-97d87cb6-a801-459e-bf85-e856b55cb45e' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div><div style='display: inline-grid; grid-template-columns: 0px 20px auto; width: 100%;'><div style='grid-column-start: 1;border-right: 0.2em solid;border-color: var(--xr-border-color);height: 100%;width: 0px;'></div><div style='grid-column-start: 2;grid-row-start: 1;height: 1em;width: 20px;border-bottom: 0.2em solid;border-color: var(--xr-border-color);'></div><div style='grid-column-start: 3;'><div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
        "<defs>\n",
        "<symbol id=\"icon-database\" viewBox=\"0 0 32 32\">\n",
        "<path d=\"M16 0c-8.837 0-16 2.239-16 5v4c0 2.761 7.163 5 16 5s16-2.239 16-5v-4c0-2.761-7.163-5-16-5z\"></path>\n",
@@ -12459,16 +12459,16 @@
        "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DatasetView&gt; Size: 181MB\n",
        "Dimensions:  (y: 5490, x: 5490)\n",
        "Coordinates:\n",
-       "  * x        (x) int64 44kB 300010 300030 300050 300070 ... 409750 409770 409790\n",
-       "  * y        (y) int64 44kB 5000030 5000010 4999990 ... 4890290 4890270 4890250\n",
+       "  * x        (x) int64 44kB 499990 500010 500030 500050 ... 609730 609750 609770\n",
+       "  * y        (y) int64 44kB 8000030 8000010 7999990 ... 7890290 7890270 7890250\n",
        "Data variables:\n",
        "    b05      (y, x) uint8 30MB dask.array&lt;chunksize=(915, 915), meta=np.ndarray&gt;\n",
        "    b06      (y, x) uint8 30MB dask.array&lt;chunksize=(915, 915), meta=np.ndarray&gt;\n",
        "    b07      (y, x) uint8 30MB dask.array&lt;chunksize=(915, 915), meta=np.ndarray&gt;\n",
        "    b11      (y, x) uint8 30MB dask.array&lt;chunksize=(915, 915), meta=np.ndarray&gt;\n",
        "    b12      (y, x) uint8 30MB dask.array&lt;chunksize=(915, 915), meta=np.ndarray&gt;\n",
-       "    b8a      (y, x) uint8 30MB dask.array&lt;chunksize=(915, 915), meta=np.ndarray&gt;</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>r20m</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-4dd81fd8-adfa-4f5b-8eb7-f67c7a0b75d8' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-4dd81fd8-adfa-4f5b-8eb7-f67c7a0b75d8' class='xr-section-summary'  title='Expand/collapse section'>Groups: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><div style='display: inline-grid; grid-template-columns: 100%; grid-column: 1 / -1'></div></div></li><li class='xr-section-item'><input id='section-be002dd4-a045-483c-9840-4b9743060f41' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-be002dd4-a045-483c-9840-4b9743060f41' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>y</span>: 5490</li><li><span class='xr-has-index'>x</span>: 5490</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-f9a512b1-0b3f-402d-9cb2-6b7cb175c3fb' class='xr-section-summary-in' type='checkbox'  checked><label for='section-f9a512b1-0b3f-402d-9cb2-6b7cb175c3fb' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>300010 300030 ... 409770 409790</div><input id='attrs-4289b03d-88e7-4230-bf54-4629d162a3df' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-4289b03d-88e7-4230-bf54-4629d162a3df' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-014dced7-d546-4811-a256-a703ec1e8c58' class='xr-var-data-in' type='checkbox'><label for='data-014dced7-d546-4811-a256-a703ec1e8c58' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([300010, 300030, 300050, ..., 409750, 409770, 409790], shape=(5490,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>5000030 5000010 ... 4890270 4890250</div><input id='attrs-e9695494-c62e-43f7-be55-9a050d7fbb5d' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-e9695494-c62e-43f7-be55-9a050d7fbb5d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5f5b977c-f5ed-443f-99b2-c057fb1c62e0' class='xr-var-data-in' type='checkbox'><label for='data-5f5b977c-f5ed-443f-99b2-c057fb1c62e0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([5000030, 5000010, 4999990, ..., 4890290, 4890270, 4890250],\n",
-       "      shape=(5490,))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-bcb6e462-5e5c-4dd6-8bf9-2e3d01ee8fac' class='xr-section-summary-in' type='checkbox'  checked><label for='section-bcb6e462-5e5c-4dd6-8bf9-2e3d01ee8fac' class='xr-section-summary' >Data variables: <span>(6)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>b05</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(915, 915), meta=np.ndarray&gt;</div><input id='attrs-435c8365-0bf6-47a6-ae39-5cdaeaf3d3d2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-435c8365-0bf6-47a6-ae39-5cdaeaf3d3d2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3a3359b4-cfd6-43cd-8ee0-3cc945af7816' class='xr-var-data-in' type='checkbox'><label for='data-3a3359b4-cfd6-43cd-8ee0-3cc945af7816' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;flag_masks&#x27;: [1, 2, 4, 8, 16, 32, 64, 128], &#x27;flag_meanings&#x27;: [&#x27;ANC_LOST&#x27;, &#x27;ANC_DEG&#x27;, &#x27;MSI_LOST&#x27;, &#x27;MSI_DEG&#x27;, &#x27;QT_DEFECTIVE_PIXELS&#x27;, &#x27;QT_NODATA_PIXELS&#x27;, &#x27;QT_PARTIALLY_CORRECTED_PIXELS&#x27;, &#x27;QT_SATURATED_PIXELS_L1A&#x27;]}</dd><dt><span>dtype :</span></dt><dd>&lt;u1</dd><dt><span>flag_masks :</span></dt><dd>[1, 2, 4, 8, 16, 32, 64, 128]</dd><dt><span>flag_meanings :</span></dt><dd>[&#x27;ANC_LOST&#x27;, &#x27;ANC_DEG&#x27;, &#x27;MSI_LOST&#x27;, &#x27;MSI_DEG&#x27;, &#x27;QT_DEFECTIVE_PIXELS&#x27;, &#x27;QT_NODATA_PIXELS&#x27;, &#x27;QT_PARTIALLY_CORRECTED_PIXELS&#x27;, &#x27;QT_SATURATED_PIXELS_L1A&#x27;]</dd><dt><span>long_name :</span></dt><dd>quality mask provided in the final reference frame (ground geometry)</dd><dt><span>proj:bbox :</span></dt><dd>[300000.0, 4890240.0, 409800.0, 5000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32632</dd><dt><span>proj:shape :</span></dt><dd>[5490, 5490]</dd><dt><span>proj:transform :</span></dt><dd>[20.0, 0.0, 300000.0, 0.0, -20.0, 5000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 32N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,9],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32632&quot;]]</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    b8a      (y, x) uint8 30MB dask.array&lt;chunksize=(915, 915), meta=np.ndarray&gt;</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>r20m</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-2cd0e693-e4c2-41b2-9379-3ea3350b202a' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-2cd0e693-e4c2-41b2-9379-3ea3350b202a' class='xr-section-summary'  title='Expand/collapse section'>Groups: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><div style='display: inline-grid; grid-template-columns: 100%; grid-column: 1 / -1'></div></div></li><li class='xr-section-item'><input id='section-47bf9af6-4267-48a2-a66a-d4b15dae77fd' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-47bf9af6-4267-48a2-a66a-d4b15dae77fd' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>y</span>: 5490</li><li><span class='xr-has-index'>x</span>: 5490</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-c0c55ad6-d75a-4f09-be82-e7fcb14be20c' class='xr-section-summary-in' type='checkbox'  checked><label for='section-c0c55ad6-d75a-4f09-be82-e7fcb14be20c' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>499990 500010 ... 609750 609770</div><input id='attrs-7a2b32e1-eec8-462f-901e-33cf26122b35' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-7a2b32e1-eec8-462f-901e-33cf26122b35' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1b89cb31-bab2-4e92-a7d8-dc2f6175ae36' class='xr-var-data-in' type='checkbox'><label for='data-1b89cb31-bab2-4e92-a7d8-dc2f6175ae36' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([499990, 500010, 500030, ..., 609730, 609750, 609770], shape=(5490,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>8000030 8000010 ... 7890270 7890250</div><input id='attrs-7c155d97-56d1-4c78-b1d8-5f773ed875e6' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-7c155d97-56d1-4c78-b1d8-5f773ed875e6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-90bd26b7-8ffa-46f7-9ba3-f8e4c33b3c4d' class='xr-var-data-in' type='checkbox'><label for='data-90bd26b7-8ffa-46f7-9ba3-f8e4c33b3c4d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([8000030, 8000010, 7999990, ..., 7890290, 7890270, 7890250],\n",
+       "      shape=(5490,))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-58119647-058e-4dad-82fa-7846450708ea' class='xr-section-summary-in' type='checkbox'  checked><label for='section-58119647-058e-4dad-82fa-7846450708ea' class='xr-section-summary' >Data variables: <span>(6)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>b05</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(915, 915), meta=np.ndarray&gt;</div><input id='attrs-20de21af-41df-4643-9658-0b56c451f5a6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-20de21af-41df-4643-9658-0b56c451f5a6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-63ae9579-e783-4753-bf82-3ad461b6247a' class='xr-var-data-in' type='checkbox'><label for='data-63ae9579-e783-4753-bf82-3ad461b6247a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;dtype&#x27;: &#x27;&lt;u1&#x27;, &#x27;flag_masks&#x27;: [1, 2, 4, 8, 16, 32, 64, 128], &#x27;flag_meanings&#x27;: [&#x27;ANC_LOST&#x27;, &#x27;ANC_DEG&#x27;, &#x27;MSI_LOST&#x27;, &#x27;MSI_DEG&#x27;, &#x27;QT_DEFECTIVE_PIXELS&#x27;, &#x27;QT_NODATA_PIXELS&#x27;, &#x27;QT_PARTIALLY_CORRECTED_PIXELS&#x27;, &#x27;QT_SATURATED_PIXELS_L1A&#x27;], &#x27;long_name&#x27;: &#x27;quality mask provided in the final reference frame (ground geometry)&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u1</dd><dt><span>flag_masks :</span></dt><dd>[1, 2, 4, 8, 16, 32, 64, 128]</dd><dt><span>flag_meanings :</span></dt><dd>[&#x27;ANC_LOST&#x27;, &#x27;ANC_DEG&#x27;, &#x27;MSI_LOST&#x27;, &#x27;MSI_DEG&#x27;, &#x27;QT_DEFECTIVE_PIXELS&#x27;, &#x27;QT_NODATA_PIXELS&#x27;, &#x27;QT_PARTIALLY_CORRECTED_PIXELS&#x27;, &#x27;QT_SATURATED_PIXELS_L1A&#x27;]</dd><dt><span>long_name :</span></dt><dd>quality mask provided in the final reference frame (ground geometry)</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 7890240.0, 609780.0, 8000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32625</dd><dt><span>proj:shape :</span></dt><dd>[5490, 5490]</dd><dt><span>proj:transform :</span></dt><dd>[20.0, 0.0, 499980.0, 0.0, -20.0, 8000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 25N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,-33],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32625&quot;]]</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -12533,7 +12533,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b06</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(915, 915), meta=np.ndarray&gt;</div><input id='attrs-80534c30-613a-4b4c-9af9-9604ede65655' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-80534c30-613a-4b4c-9af9-9604ede65655' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-77b44ddb-410c-45ee-813b-353f1ae7b759' class='xr-var-data-in' type='checkbox'><label for='data-77b44ddb-410c-45ee-813b-353f1ae7b759' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;flag_masks&#x27;: [1, 2, 4, 8, 16, 32, 64, 128], &#x27;flag_meanings&#x27;: [&#x27;ANC_LOST&#x27;, &#x27;ANC_DEG&#x27;, &#x27;MSI_LOST&#x27;, &#x27;MSI_DEG&#x27;, &#x27;QT_DEFECTIVE_PIXELS&#x27;, &#x27;QT_NODATA_PIXELS&#x27;, &#x27;QT_PARTIALLY_CORRECTED_PIXELS&#x27;, &#x27;QT_SATURATED_PIXELS_L1A&#x27;]}</dd><dt><span>dtype :</span></dt><dd>&lt;u1</dd><dt><span>flag_masks :</span></dt><dd>[1, 2, 4, 8, 16, 32, 64, 128]</dd><dt><span>flag_meanings :</span></dt><dd>[&#x27;ANC_LOST&#x27;, &#x27;ANC_DEG&#x27;, &#x27;MSI_LOST&#x27;, &#x27;MSI_DEG&#x27;, &#x27;QT_DEFECTIVE_PIXELS&#x27;, &#x27;QT_NODATA_PIXELS&#x27;, &#x27;QT_PARTIALLY_CORRECTED_PIXELS&#x27;, &#x27;QT_SATURATED_PIXELS_L1A&#x27;]</dd><dt><span>long_name :</span></dt><dd>quality mask provided in the final reference frame (ground geometry)</dd><dt><span>proj:bbox :</span></dt><dd>[300000.0, 4890240.0, 409800.0, 5000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32632</dd><dt><span>proj:shape :</span></dt><dd>[5490, 5490]</dd><dt><span>proj:transform :</span></dt><dd>[20.0, 0.0, 300000.0, 0.0, -20.0, 5000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 32N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,9],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32632&quot;]]</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b06</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(915, 915), meta=np.ndarray&gt;</div><input id='attrs-a2655f99-ff79-4d1e-8a66-9392484859bb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a2655f99-ff79-4d1e-8a66-9392484859bb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f1488de9-24de-4465-9ce6-0ec8165d3820' class='xr-var-data-in' type='checkbox'><label for='data-f1488de9-24de-4465-9ce6-0ec8165d3820' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;dtype&#x27;: &#x27;&lt;u1&#x27;, &#x27;flag_masks&#x27;: [1, 2, 4, 8, 16, 32, 64, 128], &#x27;flag_meanings&#x27;: [&#x27;ANC_LOST&#x27;, &#x27;ANC_DEG&#x27;, &#x27;MSI_LOST&#x27;, &#x27;MSI_DEG&#x27;, &#x27;QT_DEFECTIVE_PIXELS&#x27;, &#x27;QT_NODATA_PIXELS&#x27;, &#x27;QT_PARTIALLY_CORRECTED_PIXELS&#x27;, &#x27;QT_SATURATED_PIXELS_L1A&#x27;], &#x27;long_name&#x27;: &#x27;quality mask provided in the final reference frame (ground geometry)&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u1</dd><dt><span>flag_masks :</span></dt><dd>[1, 2, 4, 8, 16, 32, 64, 128]</dd><dt><span>flag_meanings :</span></dt><dd>[&#x27;ANC_LOST&#x27;, &#x27;ANC_DEG&#x27;, &#x27;MSI_LOST&#x27;, &#x27;MSI_DEG&#x27;, &#x27;QT_DEFECTIVE_PIXELS&#x27;, &#x27;QT_NODATA_PIXELS&#x27;, &#x27;QT_PARTIALLY_CORRECTED_PIXELS&#x27;, &#x27;QT_SATURATED_PIXELS_L1A&#x27;]</dd><dt><span>long_name :</span></dt><dd>quality mask provided in the final reference frame (ground geometry)</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 7890240.0, 609780.0, 8000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32625</dd><dt><span>proj:shape :</span></dt><dd>[5490, 5490]</dd><dt><span>proj:transform :</span></dt><dd>[20.0, 0.0, 499980.0, 0.0, -20.0, 8000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 25N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,-33],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32625&quot;]]</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -12598,7 +12598,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b07</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(915, 915), meta=np.ndarray&gt;</div><input id='attrs-1fa445e3-5f56-43c2-9f17-8a54636b84e1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1fa445e3-5f56-43c2-9f17-8a54636b84e1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-de012893-dcd9-43a5-958c-097ae388c60b' class='xr-var-data-in' type='checkbox'><label for='data-de012893-dcd9-43a5-958c-097ae388c60b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;flag_masks&#x27;: [1, 2, 4, 8, 16, 32, 64, 128], &#x27;flag_meanings&#x27;: [&#x27;ANC_LOST&#x27;, &#x27;ANC_DEG&#x27;, &#x27;MSI_LOST&#x27;, &#x27;MSI_DEG&#x27;, &#x27;QT_DEFECTIVE_PIXELS&#x27;, &#x27;QT_NODATA_PIXELS&#x27;, &#x27;QT_PARTIALLY_CORRECTED_PIXELS&#x27;, &#x27;QT_SATURATED_PIXELS_L1A&#x27;]}</dd><dt><span>dtype :</span></dt><dd>&lt;u1</dd><dt><span>flag_masks :</span></dt><dd>[1, 2, 4, 8, 16, 32, 64, 128]</dd><dt><span>flag_meanings :</span></dt><dd>[&#x27;ANC_LOST&#x27;, &#x27;ANC_DEG&#x27;, &#x27;MSI_LOST&#x27;, &#x27;MSI_DEG&#x27;, &#x27;QT_DEFECTIVE_PIXELS&#x27;, &#x27;QT_NODATA_PIXELS&#x27;, &#x27;QT_PARTIALLY_CORRECTED_PIXELS&#x27;, &#x27;QT_SATURATED_PIXELS_L1A&#x27;]</dd><dt><span>long_name :</span></dt><dd>quality mask provided in the final reference frame (ground geometry)</dd><dt><span>proj:bbox :</span></dt><dd>[300000.0, 4890240.0, 409800.0, 5000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32632</dd><dt><span>proj:shape :</span></dt><dd>[5490, 5490]</dd><dt><span>proj:transform :</span></dt><dd>[20.0, 0.0, 300000.0, 0.0, -20.0, 5000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 32N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,9],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32632&quot;]]</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b07</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(915, 915), meta=np.ndarray&gt;</div><input id='attrs-4296e6bd-01c4-4a7e-9754-87522b51d35b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4296e6bd-01c4-4a7e-9754-87522b51d35b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c51b84ac-631d-4a9f-a736-44c48512a08b' class='xr-var-data-in' type='checkbox'><label for='data-c51b84ac-631d-4a9f-a736-44c48512a08b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;dtype&#x27;: &#x27;&lt;u1&#x27;, &#x27;flag_masks&#x27;: [1, 2, 4, 8, 16, 32, 64, 128], &#x27;flag_meanings&#x27;: [&#x27;ANC_LOST&#x27;, &#x27;ANC_DEG&#x27;, &#x27;MSI_LOST&#x27;, &#x27;MSI_DEG&#x27;, &#x27;QT_DEFECTIVE_PIXELS&#x27;, &#x27;QT_NODATA_PIXELS&#x27;, &#x27;QT_PARTIALLY_CORRECTED_PIXELS&#x27;, &#x27;QT_SATURATED_PIXELS_L1A&#x27;], &#x27;long_name&#x27;: &#x27;quality mask provided in the final reference frame (ground geometry)&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u1</dd><dt><span>flag_masks :</span></dt><dd>[1, 2, 4, 8, 16, 32, 64, 128]</dd><dt><span>flag_meanings :</span></dt><dd>[&#x27;ANC_LOST&#x27;, &#x27;ANC_DEG&#x27;, &#x27;MSI_LOST&#x27;, &#x27;MSI_DEG&#x27;, &#x27;QT_DEFECTIVE_PIXELS&#x27;, &#x27;QT_NODATA_PIXELS&#x27;, &#x27;QT_PARTIALLY_CORRECTED_PIXELS&#x27;, &#x27;QT_SATURATED_PIXELS_L1A&#x27;]</dd><dt><span>long_name :</span></dt><dd>quality mask provided in the final reference frame (ground geometry)</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 7890240.0, 609780.0, 8000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32625</dd><dt><span>proj:shape :</span></dt><dd>[5490, 5490]</dd><dt><span>proj:transform :</span></dt><dd>[20.0, 0.0, 499980.0, 0.0, -20.0, 8000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 25N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,-33],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32625&quot;]]</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -12663,7 +12663,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b11</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(915, 915), meta=np.ndarray&gt;</div><input id='attrs-ff28d511-d1a6-421e-9eef-d397f29e06c4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ff28d511-d1a6-421e-9eef-d397f29e06c4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0527eb68-b52f-4759-ad29-147bc2808a53' class='xr-var-data-in' type='checkbox'><label for='data-0527eb68-b52f-4759-ad29-147bc2808a53' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;flag_masks&#x27;: [1, 2, 4, 8, 16, 32, 64, 128], &#x27;flag_meanings&#x27;: [&#x27;ANC_LOST&#x27;, &#x27;ANC_DEG&#x27;, &#x27;MSI_LOST&#x27;, &#x27;MSI_DEG&#x27;, &#x27;QT_DEFECTIVE_PIXELS&#x27;, &#x27;QT_NODATA_PIXELS&#x27;, &#x27;QT_PARTIALLY_CORRECTED_PIXELS&#x27;, &#x27;QT_SATURATED_PIXELS_L1A&#x27;]}</dd><dt><span>dtype :</span></dt><dd>&lt;u1</dd><dt><span>flag_masks :</span></dt><dd>[1, 2, 4, 8, 16, 32, 64, 128]</dd><dt><span>flag_meanings :</span></dt><dd>[&#x27;ANC_LOST&#x27;, &#x27;ANC_DEG&#x27;, &#x27;MSI_LOST&#x27;, &#x27;MSI_DEG&#x27;, &#x27;QT_DEFECTIVE_PIXELS&#x27;, &#x27;QT_NODATA_PIXELS&#x27;, &#x27;QT_PARTIALLY_CORRECTED_PIXELS&#x27;, &#x27;QT_SATURATED_PIXELS_L1A&#x27;]</dd><dt><span>long_name :</span></dt><dd>quality mask provided in the final reference frame (ground geometry)</dd><dt><span>proj:bbox :</span></dt><dd>[300000.0, 4890240.0, 409800.0, 5000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32632</dd><dt><span>proj:shape :</span></dt><dd>[5490, 5490]</dd><dt><span>proj:transform :</span></dt><dd>[20.0, 0.0, 300000.0, 0.0, -20.0, 5000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 32N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,9],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32632&quot;]]</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b11</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(915, 915), meta=np.ndarray&gt;</div><input id='attrs-1f260c67-8392-415d-b08c-c511a7b329c6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1f260c67-8392-415d-b08c-c511a7b329c6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ee7db77f-3c07-4f73-ad6d-08a079f5fe4f' class='xr-var-data-in' type='checkbox'><label for='data-ee7db77f-3c07-4f73-ad6d-08a079f5fe4f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;dtype&#x27;: &#x27;&lt;u1&#x27;, &#x27;flag_masks&#x27;: [1, 2, 4, 8, 16, 32, 64, 128], &#x27;flag_meanings&#x27;: [&#x27;ANC_LOST&#x27;, &#x27;ANC_DEG&#x27;, &#x27;MSI_LOST&#x27;, &#x27;MSI_DEG&#x27;, &#x27;QT_DEFECTIVE_PIXELS&#x27;, &#x27;QT_NODATA_PIXELS&#x27;, &#x27;QT_PARTIALLY_CORRECTED_PIXELS&#x27;, &#x27;QT_SATURATED_PIXELS_L1A&#x27;], &#x27;long_name&#x27;: &#x27;quality mask provided in the final reference frame (ground geometry)&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u1</dd><dt><span>flag_masks :</span></dt><dd>[1, 2, 4, 8, 16, 32, 64, 128]</dd><dt><span>flag_meanings :</span></dt><dd>[&#x27;ANC_LOST&#x27;, &#x27;ANC_DEG&#x27;, &#x27;MSI_LOST&#x27;, &#x27;MSI_DEG&#x27;, &#x27;QT_DEFECTIVE_PIXELS&#x27;, &#x27;QT_NODATA_PIXELS&#x27;, &#x27;QT_PARTIALLY_CORRECTED_PIXELS&#x27;, &#x27;QT_SATURATED_PIXELS_L1A&#x27;]</dd><dt><span>long_name :</span></dt><dd>quality mask provided in the final reference frame (ground geometry)</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 7890240.0, 609780.0, 8000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32625</dd><dt><span>proj:shape :</span></dt><dd>[5490, 5490]</dd><dt><span>proj:transform :</span></dt><dd>[20.0, 0.0, 499980.0, 0.0, -20.0, 8000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 25N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,-33],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32625&quot;]]</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -12728,7 +12728,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b12</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(915, 915), meta=np.ndarray&gt;</div><input id='attrs-0eb29d1c-51c9-46bf-a2f0-51730af4b846' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0eb29d1c-51c9-46bf-a2f0-51730af4b846' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c4211d9d-62f4-4109-a6bb-64aad9441d17' class='xr-var-data-in' type='checkbox'><label for='data-c4211d9d-62f4-4109-a6bb-64aad9441d17' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;flag_masks&#x27;: [1, 2, 4, 8, 16, 32, 64, 128], &#x27;flag_meanings&#x27;: [&#x27;ANC_LOST&#x27;, &#x27;ANC_DEG&#x27;, &#x27;MSI_LOST&#x27;, &#x27;MSI_DEG&#x27;, &#x27;QT_DEFECTIVE_PIXELS&#x27;, &#x27;QT_NODATA_PIXELS&#x27;, &#x27;QT_PARTIALLY_CORRECTED_PIXELS&#x27;, &#x27;QT_SATURATED_PIXELS_L1A&#x27;]}</dd><dt><span>dtype :</span></dt><dd>&lt;u1</dd><dt><span>flag_masks :</span></dt><dd>[1, 2, 4, 8, 16, 32, 64, 128]</dd><dt><span>flag_meanings :</span></dt><dd>[&#x27;ANC_LOST&#x27;, &#x27;ANC_DEG&#x27;, &#x27;MSI_LOST&#x27;, &#x27;MSI_DEG&#x27;, &#x27;QT_DEFECTIVE_PIXELS&#x27;, &#x27;QT_NODATA_PIXELS&#x27;, &#x27;QT_PARTIALLY_CORRECTED_PIXELS&#x27;, &#x27;QT_SATURATED_PIXELS_L1A&#x27;]</dd><dt><span>long_name :</span></dt><dd>quality mask provided in the final reference frame (ground geometry)</dd><dt><span>proj:bbox :</span></dt><dd>[300000.0, 4890240.0, 409800.0, 5000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32632</dd><dt><span>proj:shape :</span></dt><dd>[5490, 5490]</dd><dt><span>proj:transform :</span></dt><dd>[20.0, 0.0, 300000.0, 0.0, -20.0, 5000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 32N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,9],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32632&quot;]]</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b12</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(915, 915), meta=np.ndarray&gt;</div><input id='attrs-935bce28-f6e4-494b-bb0e-3b54f1d5fbbc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-935bce28-f6e4-494b-bb0e-3b54f1d5fbbc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d98fe6bf-449a-480c-a6e7-ba7e30e22de6' class='xr-var-data-in' type='checkbox'><label for='data-d98fe6bf-449a-480c-a6e7-ba7e30e22de6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;dtype&#x27;: &#x27;&lt;u1&#x27;, &#x27;flag_masks&#x27;: [1, 2, 4, 8, 16, 32, 64, 128], &#x27;flag_meanings&#x27;: [&#x27;ANC_LOST&#x27;, &#x27;ANC_DEG&#x27;, &#x27;MSI_LOST&#x27;, &#x27;MSI_DEG&#x27;, &#x27;QT_DEFECTIVE_PIXELS&#x27;, &#x27;QT_NODATA_PIXELS&#x27;, &#x27;QT_PARTIALLY_CORRECTED_PIXELS&#x27;, &#x27;QT_SATURATED_PIXELS_L1A&#x27;], &#x27;long_name&#x27;: &#x27;quality mask provided in the final reference frame (ground geometry)&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u1</dd><dt><span>flag_masks :</span></dt><dd>[1, 2, 4, 8, 16, 32, 64, 128]</dd><dt><span>flag_meanings :</span></dt><dd>[&#x27;ANC_LOST&#x27;, &#x27;ANC_DEG&#x27;, &#x27;MSI_LOST&#x27;, &#x27;MSI_DEG&#x27;, &#x27;QT_DEFECTIVE_PIXELS&#x27;, &#x27;QT_NODATA_PIXELS&#x27;, &#x27;QT_PARTIALLY_CORRECTED_PIXELS&#x27;, &#x27;QT_SATURATED_PIXELS_L1A&#x27;]</dd><dt><span>long_name :</span></dt><dd>quality mask provided in the final reference frame (ground geometry)</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 7890240.0, 609780.0, 8000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32625</dd><dt><span>proj:shape :</span></dt><dd>[5490, 5490]</dd><dt><span>proj:transform :</span></dt><dd>[20.0, 0.0, 499980.0, 0.0, -20.0, 8000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 25N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,-33],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32625&quot;]]</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -12793,7 +12793,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b8a</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(915, 915), meta=np.ndarray&gt;</div><input id='attrs-5f558473-3e4e-4d7c-b998-693a6b25dcd1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5f558473-3e4e-4d7c-b998-693a6b25dcd1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-692d35a0-a734-4e34-8d6b-98e6b526e889' class='xr-var-data-in' type='checkbox'><label for='data-692d35a0-a734-4e34-8d6b-98e6b526e889' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;flag_masks&#x27;: [1, 2, 4, 8, 16, 32, 64, 128], &#x27;flag_meanings&#x27;: [&#x27;ANC_LOST&#x27;, &#x27;ANC_DEG&#x27;, &#x27;MSI_LOST&#x27;, &#x27;MSI_DEG&#x27;, &#x27;QT_DEFECTIVE_PIXELS&#x27;, &#x27;QT_NODATA_PIXELS&#x27;, &#x27;QT_PARTIALLY_CORRECTED_PIXELS&#x27;, &#x27;QT_SATURATED_PIXELS_L1A&#x27;]}</dd><dt><span>dtype :</span></dt><dd>&lt;u1</dd><dt><span>flag_masks :</span></dt><dd>[1, 2, 4, 8, 16, 32, 64, 128]</dd><dt><span>flag_meanings :</span></dt><dd>[&#x27;ANC_LOST&#x27;, &#x27;ANC_DEG&#x27;, &#x27;MSI_LOST&#x27;, &#x27;MSI_DEG&#x27;, &#x27;QT_DEFECTIVE_PIXELS&#x27;, &#x27;QT_NODATA_PIXELS&#x27;, &#x27;QT_PARTIALLY_CORRECTED_PIXELS&#x27;, &#x27;QT_SATURATED_PIXELS_L1A&#x27;]</dd><dt><span>long_name :</span></dt><dd>quality mask provided in the final reference frame (ground geometry)</dd><dt><span>proj:bbox :</span></dt><dd>[300000.0, 4890240.0, 409800.0, 5000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32632</dd><dt><span>proj:shape :</span></dt><dd>[5490, 5490]</dd><dt><span>proj:transform :</span></dt><dd>[20.0, 0.0, 300000.0, 0.0, -20.0, 5000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 32N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,9],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32632&quot;]]</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b8a</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(915, 915), meta=np.ndarray&gt;</div><input id='attrs-e2e3c685-56e7-418c-8e95-61aeab5b0ece' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e2e3c685-56e7-418c-8e95-61aeab5b0ece' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-30e0a588-6afa-48bf-80e2-efadf0db825a' class='xr-var-data-in' type='checkbox'><label for='data-30e0a588-6afa-48bf-80e2-efadf0db825a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;dtype&#x27;: &#x27;&lt;u1&#x27;, &#x27;flag_masks&#x27;: [1, 2, 4, 8, 16, 32, 64, 128], &#x27;flag_meanings&#x27;: [&#x27;ANC_LOST&#x27;, &#x27;ANC_DEG&#x27;, &#x27;MSI_LOST&#x27;, &#x27;MSI_DEG&#x27;, &#x27;QT_DEFECTIVE_PIXELS&#x27;, &#x27;QT_NODATA_PIXELS&#x27;, &#x27;QT_PARTIALLY_CORRECTED_PIXELS&#x27;, &#x27;QT_SATURATED_PIXELS_L1A&#x27;], &#x27;long_name&#x27;: &#x27;quality mask provided in the final reference frame (ground geometry)&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u1</dd><dt><span>flag_masks :</span></dt><dd>[1, 2, 4, 8, 16, 32, 64, 128]</dd><dt><span>flag_meanings :</span></dt><dd>[&#x27;ANC_LOST&#x27;, &#x27;ANC_DEG&#x27;, &#x27;MSI_LOST&#x27;, &#x27;MSI_DEG&#x27;, &#x27;QT_DEFECTIVE_PIXELS&#x27;, &#x27;QT_NODATA_PIXELS&#x27;, &#x27;QT_PARTIALLY_CORRECTED_PIXELS&#x27;, &#x27;QT_SATURATED_PIXELS_L1A&#x27;]</dd><dt><span>long_name :</span></dt><dd>quality mask provided in the final reference frame (ground geometry)</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 7890240.0, 609780.0, 8000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32625</dd><dt><span>proj:shape :</span></dt><dd>[5490, 5490]</dd><dt><span>proj:transform :</span></dt><dd>[20.0, 0.0, 499980.0, 0.0, -20.0, 8000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 25N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,-33],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32625&quot;]]</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -12858,7 +12858,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-69e6bbeb-7ef9-40c4-b71c-8b2dad765e61' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-69e6bbeb-7ef9-40c4-b71c-8b2dad765e61' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div><div style='display: inline-grid; grid-template-columns: 0px 20px auto; width: 100%;'><div style='grid-column-start: 1;border-right: 0.2em solid;border-color: var(--xr-border-color);height: 1.2em;width: 0px;'></div><div style='grid-column-start: 2;grid-row-start: 1;height: 1em;width: 20px;border-bottom: 0.2em solid;border-color: var(--xr-border-color);'></div><div style='grid-column-start: 3;'><div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
+       "</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-3ef808e6-67ec-40b4-97b0-6d94be6d60a8' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-3ef808e6-67ec-40b4-97b0-6d94be6d60a8' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div><div style='display: inline-grid; grid-template-columns: 0px 20px auto; width: 100%;'><div style='grid-column-start: 1;border-right: 0.2em solid;border-color: var(--xr-border-color);height: 1.2em;width: 0px;'></div><div style='grid-column-start: 2;grid-row-start: 1;height: 1em;width: 20px;border-bottom: 0.2em solid;border-color: var(--xr-border-color);'></div><div style='grid-column-start: 3;'><div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
        "<defs>\n",
        "<symbol id=\"icon-database\" viewBox=\"0 0 32 32\">\n",
        "<path d=\"M16 0c-8.837 0-16 2.239-16 5v4c0 2.761 7.163 5 16 5s16-2.239 16-5v-4c0-2.761-7.163-5-16-5z\"></path>\n",
@@ -13231,13 +13231,13 @@
        "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DatasetView&gt; Size: 10MB\n",
        "Dimensions:  (y: 1830, x: 1830)\n",
        "Coordinates:\n",
-       "  * x        (x) int64 15kB 300030 300090 300150 300210 ... 409650 409710 409770\n",
-       "  * y        (y) int64 15kB 5000010 4999950 4999890 ... 4890390 4890330 4890270\n",
+       "  * x        (x) int64 15kB 500010 500070 500130 500190 ... 609630 609690 609750\n",
+       "  * y        (y) int64 15kB 8000010 7999950 7999890 ... 7890390 7890330 7890270\n",
        "Data variables:\n",
        "    b01      (y, x) uint8 3MB dask.array&lt;chunksize=(305, 305), meta=np.ndarray&gt;\n",
        "    b09      (y, x) uint8 3MB dask.array&lt;chunksize=(305, 305), meta=np.ndarray&gt;\n",
-       "    b10      (y, x) uint8 3MB dask.array&lt;chunksize=(305, 305), meta=np.ndarray&gt;</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>r60m</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-3749adc9-b761-4c57-a31d-660445f9cdfd' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-3749adc9-b761-4c57-a31d-660445f9cdfd' class='xr-section-summary'  title='Expand/collapse section'>Groups: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><div style='display: inline-grid; grid-template-columns: 100%; grid-column: 1 / -1'></div></div></li><li class='xr-section-item'><input id='section-d9202b2c-1f37-4685-8e89-dc1bffd3f918' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-d9202b2c-1f37-4685-8e89-dc1bffd3f918' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>y</span>: 1830</li><li><span class='xr-has-index'>x</span>: 1830</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-d24100ca-5870-4747-8767-440d44eac193' class='xr-section-summary-in' type='checkbox'  checked><label for='section-d24100ca-5870-4747-8767-440d44eac193' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>300030 300090 ... 409710 409770</div><input id='attrs-9f86fec7-de3c-497f-a186-704d5a86bc40' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-9f86fec7-de3c-497f-a186-704d5a86bc40' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-49a75f3f-05b0-48d7-a645-67843d0f517e' class='xr-var-data-in' type='checkbox'><label for='data-49a75f3f-05b0-48d7-a645-67843d0f517e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([300030, 300090, 300150, ..., 409650, 409710, 409770], shape=(1830,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>5000010 4999950 ... 4890330 4890270</div><input id='attrs-e953b446-5779-4f0d-8938-9094d4305b65' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-e953b446-5779-4f0d-8938-9094d4305b65' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-02bc0d26-1592-4cd0-b9f6-705755a872b4' class='xr-var-data-in' type='checkbox'><label for='data-02bc0d26-1592-4cd0-b9f6-705755a872b4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([5000010, 4999950, 4999890, ..., 4890390, 4890330, 4890270],\n",
-       "      shape=(1830,))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-54be31e2-f7fc-4db5-90aa-a7d92cd5e43c' class='xr-section-summary-in' type='checkbox'  checked><label for='section-54be31e2-f7fc-4db5-90aa-a7d92cd5e43c' class='xr-section-summary' >Data variables: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>b01</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(305, 305), meta=np.ndarray&gt;</div><input id='attrs-f297aba0-8e77-43a0-881b-612436a64966' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f297aba0-8e77-43a0-881b-612436a64966' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d6c10593-978c-4998-b4a6-8a1187ce1172' class='xr-var-data-in' type='checkbox'><label for='data-d6c10593-978c-4998-b4a6-8a1187ce1172' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;flag_masks&#x27;: [1, 2, 4, 8, 16, 32, 64, 128], &#x27;flag_meanings&#x27;: [&#x27;ANC_LOST&#x27;, &#x27;ANC_DEG&#x27;, &#x27;MSI_LOST&#x27;, &#x27;MSI_DEG&#x27;, &#x27;QT_DEFECTIVE_PIXELS&#x27;, &#x27;QT_NODATA_PIXELS&#x27;, &#x27;QT_PARTIALLY_CORRECTED_PIXELS&#x27;, &#x27;QT_SATURATED_PIXELS_L1A&#x27;]}</dd><dt><span>dtype :</span></dt><dd>&lt;u1</dd><dt><span>flag_masks :</span></dt><dd>[1, 2, 4, 8, 16, 32, 64, 128]</dd><dt><span>flag_meanings :</span></dt><dd>[&#x27;ANC_LOST&#x27;, &#x27;ANC_DEG&#x27;, &#x27;MSI_LOST&#x27;, &#x27;MSI_DEG&#x27;, &#x27;QT_DEFECTIVE_PIXELS&#x27;, &#x27;QT_NODATA_PIXELS&#x27;, &#x27;QT_PARTIALLY_CORRECTED_PIXELS&#x27;, &#x27;QT_SATURATED_PIXELS_L1A&#x27;]</dd><dt><span>long_name :</span></dt><dd>quality mask provided in the final reference frame (ground geometry)</dd><dt><span>proj:bbox :</span></dt><dd>[300000.0, 4890240.0, 409800.0, 5000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32632</dd><dt><span>proj:shape :</span></dt><dd>[1830, 1830]</dd><dt><span>proj:transform :</span></dt><dd>[60.0, 0.0, 300000.0, 0.0, -60.0, 5000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 32N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,9],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32632&quot;]]</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    b10      (y, x) uint8 3MB dask.array&lt;chunksize=(305, 305), meta=np.ndarray&gt;</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>r60m</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-f6ebe25b-5c03-42f6-8eab-3d0f4b048169' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-f6ebe25b-5c03-42f6-8eab-3d0f4b048169' class='xr-section-summary'  title='Expand/collapse section'>Groups: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><div style='display: inline-grid; grid-template-columns: 100%; grid-column: 1 / -1'></div></div></li><li class='xr-section-item'><input id='section-2492a599-bad7-4b59-9ece-a29d727eda91' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-2492a599-bad7-4b59-9ece-a29d727eda91' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>y</span>: 1830</li><li><span class='xr-has-index'>x</span>: 1830</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-88fc7cbf-893d-4ef6-ab8c-15cb849391c9' class='xr-section-summary-in' type='checkbox'  checked><label for='section-88fc7cbf-893d-4ef6-ab8c-15cb849391c9' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>500010 500070 ... 609690 609750</div><input id='attrs-e9c11b56-c4c9-4e6b-a8b1-e169c27ad66a' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-e9c11b56-c4c9-4e6b-a8b1-e169c27ad66a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4de62d6c-c6d0-4fbd-b765-a8e7ce80c73a' class='xr-var-data-in' type='checkbox'><label for='data-4de62d6c-c6d0-4fbd-b765-a8e7ce80c73a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([500010, 500070, 500130, ..., 609630, 609690, 609750], shape=(1830,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>8000010 7999950 ... 7890330 7890270</div><input id='attrs-1d0fb2d4-f137-4f00-bd40-cffa6ba8d5ee' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-1d0fb2d4-f137-4f00-bd40-cffa6ba8d5ee' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-568687b2-db5a-4a5d-8809-1aab3d01a870' class='xr-var-data-in' type='checkbox'><label for='data-568687b2-db5a-4a5d-8809-1aab3d01a870' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([8000010, 7999950, 7999890, ..., 7890390, 7890330, 7890270],\n",
+       "      shape=(1830,))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-f4c96e19-94b0-4fd0-b478-1129dda7a561' class='xr-section-summary-in' type='checkbox'  checked><label for='section-f4c96e19-94b0-4fd0-b478-1129dda7a561' class='xr-section-summary' >Data variables: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>b01</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(305, 305), meta=np.ndarray&gt;</div><input id='attrs-d4de08fc-0da1-4bc5-a203-ef79b52791c9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d4de08fc-0da1-4bc5-a203-ef79b52791c9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a4fe815d-a744-4c1e-ae68-92161d66e763' class='xr-var-data-in' type='checkbox'><label for='data-a4fe815d-a744-4c1e-ae68-92161d66e763' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;dtype&#x27;: &#x27;&lt;u1&#x27;, &#x27;flag_masks&#x27;: [1, 2, 4, 8, 16, 32, 64, 128], &#x27;flag_meanings&#x27;: [&#x27;ANC_LOST&#x27;, &#x27;ANC_DEG&#x27;, &#x27;MSI_LOST&#x27;, &#x27;MSI_DEG&#x27;, &#x27;QT_DEFECTIVE_PIXELS&#x27;, &#x27;QT_NODATA_PIXELS&#x27;, &#x27;QT_PARTIALLY_CORRECTED_PIXELS&#x27;, &#x27;QT_SATURATED_PIXELS_L1A&#x27;], &#x27;long_name&#x27;: &#x27;quality mask provided in the final reference frame (ground geometry)&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u1</dd><dt><span>flag_masks :</span></dt><dd>[1, 2, 4, 8, 16, 32, 64, 128]</dd><dt><span>flag_meanings :</span></dt><dd>[&#x27;ANC_LOST&#x27;, &#x27;ANC_DEG&#x27;, &#x27;MSI_LOST&#x27;, &#x27;MSI_DEG&#x27;, &#x27;QT_DEFECTIVE_PIXELS&#x27;, &#x27;QT_NODATA_PIXELS&#x27;, &#x27;QT_PARTIALLY_CORRECTED_PIXELS&#x27;, &#x27;QT_SATURATED_PIXELS_L1A&#x27;]</dd><dt><span>long_name :</span></dt><dd>quality mask provided in the final reference frame (ground geometry)</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 7890240.0, 609780.0, 8000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32625</dd><dt><span>proj:shape :</span></dt><dd>[1830, 1830]</dd><dt><span>proj:transform :</span></dt><dd>[60.0, 0.0, 499980.0, 0.0, -60.0, 8000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 25N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,-33],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32625&quot;]]</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -13302,7 +13302,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b09</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(305, 305), meta=np.ndarray&gt;</div><input id='attrs-d840b0ee-976c-4fe8-9689-d431fee5afb8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d840b0ee-976c-4fe8-9689-d431fee5afb8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-242af77c-367d-4fa7-b269-e2dea3be0658' class='xr-var-data-in' type='checkbox'><label for='data-242af77c-367d-4fa7-b269-e2dea3be0658' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;flag_masks&#x27;: [1, 2, 4, 8, 16, 32, 64, 128], &#x27;flag_meanings&#x27;: [&#x27;ANC_LOST&#x27;, &#x27;ANC_DEG&#x27;, &#x27;MSI_LOST&#x27;, &#x27;MSI_DEG&#x27;, &#x27;QT_DEFECTIVE_PIXELS&#x27;, &#x27;QT_NODATA_PIXELS&#x27;, &#x27;QT_PARTIALLY_CORRECTED_PIXELS&#x27;, &#x27;QT_SATURATED_PIXELS_L1A&#x27;]}</dd><dt><span>dtype :</span></dt><dd>&lt;u1</dd><dt><span>flag_masks :</span></dt><dd>[1, 2, 4, 8, 16, 32, 64, 128]</dd><dt><span>flag_meanings :</span></dt><dd>[&#x27;ANC_LOST&#x27;, &#x27;ANC_DEG&#x27;, &#x27;MSI_LOST&#x27;, &#x27;MSI_DEG&#x27;, &#x27;QT_DEFECTIVE_PIXELS&#x27;, &#x27;QT_NODATA_PIXELS&#x27;, &#x27;QT_PARTIALLY_CORRECTED_PIXELS&#x27;, &#x27;QT_SATURATED_PIXELS_L1A&#x27;]</dd><dt><span>long_name :</span></dt><dd>quality mask provided in the final reference frame (ground geometry)</dd><dt><span>proj:bbox :</span></dt><dd>[300000.0, 4890240.0, 409800.0, 5000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32632</dd><dt><span>proj:shape :</span></dt><dd>[1830, 1830]</dd><dt><span>proj:transform :</span></dt><dd>[60.0, 0.0, 300000.0, 0.0, -60.0, 5000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 32N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,9],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32632&quot;]]</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b09</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(305, 305), meta=np.ndarray&gt;</div><input id='attrs-56f2637b-46e3-42c7-8433-964292e93891' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-56f2637b-46e3-42c7-8433-964292e93891' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ee04965e-f7a0-4342-aa53-d8b61be74bfd' class='xr-var-data-in' type='checkbox'><label for='data-ee04965e-f7a0-4342-aa53-d8b61be74bfd' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;dtype&#x27;: &#x27;&lt;u1&#x27;, &#x27;flag_masks&#x27;: [1, 2, 4, 8, 16, 32, 64, 128], &#x27;flag_meanings&#x27;: [&#x27;ANC_LOST&#x27;, &#x27;ANC_DEG&#x27;, &#x27;MSI_LOST&#x27;, &#x27;MSI_DEG&#x27;, &#x27;QT_DEFECTIVE_PIXELS&#x27;, &#x27;QT_NODATA_PIXELS&#x27;, &#x27;QT_PARTIALLY_CORRECTED_PIXELS&#x27;, &#x27;QT_SATURATED_PIXELS_L1A&#x27;], &#x27;long_name&#x27;: &#x27;quality mask provided in the final reference frame (ground geometry)&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u1</dd><dt><span>flag_masks :</span></dt><dd>[1, 2, 4, 8, 16, 32, 64, 128]</dd><dt><span>flag_meanings :</span></dt><dd>[&#x27;ANC_LOST&#x27;, &#x27;ANC_DEG&#x27;, &#x27;MSI_LOST&#x27;, &#x27;MSI_DEG&#x27;, &#x27;QT_DEFECTIVE_PIXELS&#x27;, &#x27;QT_NODATA_PIXELS&#x27;, &#x27;QT_PARTIALLY_CORRECTED_PIXELS&#x27;, &#x27;QT_SATURATED_PIXELS_L1A&#x27;]</dd><dt><span>long_name :</span></dt><dd>quality mask provided in the final reference frame (ground geometry)</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 7890240.0, 609780.0, 8000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32625</dd><dt><span>proj:shape :</span></dt><dd>[1830, 1830]</dd><dt><span>proj:transform :</span></dt><dd>[60.0, 0.0, 499980.0, 0.0, -60.0, 8000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 25N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,-33],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32625&quot;]]</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -13367,7 +13367,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b10</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(305, 305), meta=np.ndarray&gt;</div><input id='attrs-21d99248-6e4a-4a3b-8c7c-12d143dceb3a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-21d99248-6e4a-4a3b-8c7c-12d143dceb3a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3fb22e05-ee7c-452e-b3cf-e88ca150404b' class='xr-var-data-in' type='checkbox'><label for='data-3fb22e05-ee7c-452e-b3cf-e88ca150404b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;flag_masks&#x27;: [1, 2, 4, 8, 16, 32, 64, 128], &#x27;flag_meanings&#x27;: [&#x27;ANC_LOST&#x27;, &#x27;ANC_DEG&#x27;, &#x27;MSI_LOST&#x27;, &#x27;MSI_DEG&#x27;, &#x27;QT_DEFECTIVE_PIXELS&#x27;, &#x27;QT_NODATA_PIXELS&#x27;, &#x27;QT_PARTIALLY_CORRECTED_PIXELS&#x27;, &#x27;QT_SATURATED_PIXELS_L1A&#x27;]}</dd><dt><span>dtype :</span></dt><dd>&lt;u1</dd><dt><span>flag_masks :</span></dt><dd>[1, 2, 4, 8, 16, 32, 64, 128]</dd><dt><span>flag_meanings :</span></dt><dd>[&#x27;ANC_LOST&#x27;, &#x27;ANC_DEG&#x27;, &#x27;MSI_LOST&#x27;, &#x27;MSI_DEG&#x27;, &#x27;QT_DEFECTIVE_PIXELS&#x27;, &#x27;QT_NODATA_PIXELS&#x27;, &#x27;QT_PARTIALLY_CORRECTED_PIXELS&#x27;, &#x27;QT_SATURATED_PIXELS_L1A&#x27;]</dd><dt><span>long_name :</span></dt><dd>quality mask provided in the final reference frame (ground geometry)</dd><dt><span>proj:bbox :</span></dt><dd>[300000.0, 4890240.0, 409800.0, 5000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32632</dd><dt><span>proj:shape :</span></dt><dd>[1830, 1830]</dd><dt><span>proj:transform :</span></dt><dd>[60.0, 0.0, 300000.0, 0.0, -60.0, 5000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 32N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,9],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32632&quot;]]</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b10</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(305, 305), meta=np.ndarray&gt;</div><input id='attrs-fec9128b-5803-4f58-a605-359b27a05ff0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fec9128b-5803-4f58-a605-359b27a05ff0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-715a4250-8f82-43e2-8ba6-4ad6ab7a14d9' class='xr-var-data-in' type='checkbox'><label for='data-715a4250-8f82-43e2-8ba6-4ad6ab7a14d9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;dtype&#x27;: &#x27;&lt;u1&#x27;, &#x27;flag_masks&#x27;: [1, 2, 4, 8, 16, 32, 64, 128], &#x27;flag_meanings&#x27;: [&#x27;ANC_LOST&#x27;, &#x27;ANC_DEG&#x27;, &#x27;MSI_LOST&#x27;, &#x27;MSI_DEG&#x27;, &#x27;QT_DEFECTIVE_PIXELS&#x27;, &#x27;QT_NODATA_PIXELS&#x27;, &#x27;QT_PARTIALLY_CORRECTED_PIXELS&#x27;, &#x27;QT_SATURATED_PIXELS_L1A&#x27;], &#x27;long_name&#x27;: &#x27;quality mask provided in the final reference frame (ground geometry)&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u1</dd><dt><span>flag_masks :</span></dt><dd>[1, 2, 4, 8, 16, 32, 64, 128]</dd><dt><span>flag_meanings :</span></dt><dd>[&#x27;ANC_LOST&#x27;, &#x27;ANC_DEG&#x27;, &#x27;MSI_LOST&#x27;, &#x27;MSI_DEG&#x27;, &#x27;QT_DEFECTIVE_PIXELS&#x27;, &#x27;QT_NODATA_PIXELS&#x27;, &#x27;QT_PARTIALLY_CORRECTED_PIXELS&#x27;, &#x27;QT_SATURATED_PIXELS_L1A&#x27;]</dd><dt><span>long_name :</span></dt><dd>quality mask provided in the final reference frame (ground geometry)</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 7890240.0, 609780.0, 8000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32625</dd><dt><span>proj:shape :</span></dt><dd>[1830, 1830]</dd><dt><span>proj:transform :</span></dt><dd>[60.0, 0.0, 499980.0, 0.0, -60.0, 8000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 25N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,-33],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32625&quot;]]</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -13432,7 +13432,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-4292a34c-9d8f-424f-aad3-4a00ae46f157' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-4292a34c-9d8f-424f-aad3-4a00ae46f157' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div></div></div></li><li class='xr-section-item'><input id='section-c45c1a05-c330-4ad3-a70b-1920604d4a8b' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-c45c1a05-c330-4ad3-a70b-1920604d4a8b' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-e926271b-aa1d-4e45-9f9c-b82d09c0d342' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-e926271b-aa1d-4e45-9f9c-b82d09c0d342' class='xr-section-summary'  title='Expand/collapse section'>Coordinates: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-ef431412-aa01-4274-aa7f-303de78213b2' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-ef431412-aa01-4274-aa7f-303de78213b2' class='xr-section-summary'  title='Expand/collapse section'>Data variables: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-86aaf9a2-818f-4bc4-8ab5-5441e209fe4e' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-86aaf9a2-818f-4bc4-8ab5-5441e209fe4e' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div></div></div></li><li class='xr-section-item'><input id='section-ad4ec40e-c186-4ba8-9671-f6e48f75d2dc' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-ad4ec40e-c186-4ba8-9671-f6e48f75d2dc' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-793b97c7-2ff5-4882-8d61-e807c44ebe04' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-793b97c7-2ff5-4882-8d61-e807c44ebe04' class='xr-section-summary'  title='Expand/collapse section'>Coordinates: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input 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&#x27;processor&#x27;: &#x27;Sentinel-2 IPF&#x27;, &#x27;type&#x27;: &#x27;Level-1C Product&#x27;, &#x27;version&#x27;: &#x27;???&#x27;}], &#x27;meteo&#x27;: {&#x27;source&#x27;: &#x27;ECMWF&#x27;, &#x27;type&#x27;: &#x27;FORECAST&#x27;}, &#x27;multispectral_registration_assessment&#x27;: &#x27;null&#x27;, &#x27;onboard_equalization_flag&#x27;: &#x27;null&#x27;, &#x27;optical_crosstalk_correction_flag&#x27;: &#x27;null&#x27;, &#x27;percentage_of_degraded_MSI_data&#x27;: 0.0, &#x27;planimetric_stability_assessment_from_AOCS&#x27;: &#x27;null&#x27;, &#x27;product_quality_status&#x27;: &#x27;PASSED,PASSED,PASSED,PASSED,PASSED&#x27;, &#x27;reflectance_correction_factor_from_the_Sun-Earth_distance_variation_computed_using_the_acquisition_date&#x27;: 0.995898443385998, &#x27;spectral_band_of_reference&#x27;: &#x27;null&#x27;}</dd><dt><span>stac_discovery :</span></dt><dd>{&#x27;assets&#x27;: {&#x27;analytic&#x27;: {&#x27;eo:bands&#x27;: [{&#x27;center_wavelength&#x27;: 0.4423, 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       "text/plain": [
        "<xarray.DataTree>\n",
@@ -13449,8 +13449,8 @@
        "│   │         * angle                          (angle) <U7 56B 'zenith' 'azimuth'\n",
        "│   │         * band                           (band) <U3 156B 'b01' 'b02' ... 'b11' 'b12'\n",
        "│   │         * detector                       (detector) int64 56B 6 7 8 9 10 11 12\n",
-       "│   │         * x                              (x) int64 184B 300000 305000 ... 410000\n",
-       "│   │         * y                              (y) int64 184B 5000040 4995040 ... 4890040\n",
+       "│   │         * x                              (x) int64 184B 499980 504980 ... 609980\n",
+       "│   │         * y                              (y) int64 184B 8000040 7995040 ... 7890040\n",
        "│   │       Data variables:\n",
        "│   │           mean_sun_angles                (angle) float64 16B dask.array<chunksize=(2,), meta=np.ndarray>\n",
        "│   │           mean_viewing_incidence_angles  (band, angle) float64 208B dask.array<chunksize=(13, 2), meta=np.ndarray>\n",
@@ -13461,8 +13461,8 @@
        "│   │   │   ├── Group: /conditions/mask/detector_footprint/r10m\n",
        "│   │   │   │       Dimensions:  (y: 10980, x: 10980)\n",
        "│   │   │   │       Coordinates:\n",
-       "│   │   │   │         * x        (x) int64 88kB 300005 300015 300025 300035 ... 409775 409785 409795\n",
-       "│   │   │   │         * y        (y) int64 88kB 5000035 5000025 5000015 ... 4890265 4890255 4890245\n",
+       "│   │   │   │         * x        (x) int64 88kB 499985 499995 500005 500015 ... 609755 609765 609775\n",
+       "│   │   │   │         * y        (y) int64 88kB 8000035 8000025 8000015 ... 7890265 7890255 7890245\n",
        "│   │   │   │       Data variables:\n",
        "│   │   │   │           b02      (y, x) uint8 121MB dask.array<chunksize=(1830, 1830), meta=np.ndarray>\n",
        "│   │   │   │           b03      (y, x) uint8 121MB dask.array<chunksize=(1830, 1830), meta=np.ndarray>\n",
@@ -13471,8 +13471,8 @@
        "│   │   │   ├── Group: /conditions/mask/detector_footprint/r20m\n",
        "│   │   │   │       Dimensions:  (y: 5490, x: 5490)\n",
        "│   │   │   │       Coordinates:\n",
-       "│   │   │   │         * x        (x) int64 44kB 300010 300030 300050 300070 ... 409750 409770 409790\n",
-       "│   │   │   │         * y        (y) int64 44kB 5000030 5000010 4999990 ... 4890290 4890270 4890250\n",
+       "│   │   │   │         * x        (x) int64 44kB 499990 500010 500030 500050 ... 609730 609750 609770\n",
+       "│   │   │   │         * y        (y) int64 44kB 8000030 8000010 7999990 ... 7890290 7890270 7890250\n",
        "│   │   │   │       Data variables:\n",
        "│   │   │   │           b05      (y, x) uint8 30MB dask.array<chunksize=(915, 915), meta=np.ndarray>\n",
        "│   │   │   │           b06      (y, x) uint8 30MB dask.array<chunksize=(915, 915), meta=np.ndarray>\n",
@@ -13483,8 +13483,8 @@
        "│   │   │   └── Group: /conditions/mask/detector_footprint/r60m\n",
        "│   │   │           Dimensions:  (y: 1830, x: 1830)\n",
        "│   │   │           Coordinates:\n",
-       "│   │   │             * x        (x) int64 15kB 300030 300090 300150 300210 ... 409650 409710 409770\n",
-       "│   │   │             * y        (y) int64 15kB 5000010 4999950 4999890 ... 4890390 4890330 4890270\n",
+       "│   │   │             * x        (x) int64 15kB 500010 500070 500130 500190 ... 609630 609690 609750\n",
+       "│   │   │             * y        (y) int64 15kB 8000010 7999950 7999890 ... 7890390 7890330 7890270\n",
        "│   │   │           Data variables:\n",
        "│   │   │               b01      (y, x) uint8 3MB dask.array<chunksize=(305, 305), meta=np.ndarray>\n",
        "│   │   │               b09      (y, x) uint8 3MB dask.array<chunksize=(305, 305), meta=np.ndarray>\n",
@@ -13493,8 +13493,8 @@
        "│   │       └── Group: /conditions/mask/l1c_classification/r60m\n",
        "│   │               Dimensions:  (y: 1830, x: 1830)\n",
        "│   │               Coordinates:\n",
-       "│   │                 * x        (x) int64 15kB 300030 300090 300150 300210 ... 409650 409710 409770\n",
-       "│   │                 * y        (y) int64 15kB 5000010 4999950 4999890 ... 4890390 4890330 4890270\n",
+       "│   │                 * x        (x) int64 15kB 500010 500070 500130 500190 ... 609630 609690 609750\n",
+       "│   │                 * y        (y) int64 15kB 8000010 7999950 7999890 ... 7890390 7890330 7890270\n",
        "│   │               Data variables:\n",
        "│   │                   b00      (y, x) uint8 3MB dask.array<chunksize=(305, 305), meta=np.ndarray>\n",
        "│   └── Group: /conditions/meteorology\n",
@@ -13502,8 +13502,8 @@
        "│       │       Dimensions:        (latitude: 9, longitude: 9)\n",
        "│       │       Coordinates:\n",
        "│       │           isobaricInhPa  float64 8B ...\n",
-       "│       │         * latitude       (latitude) float64 72B 45.13 45.0 44.88 ... 44.4 44.28 44.16\n",
-       "│       │         * longitude      (longitude) float64 72B 6.457 6.634 6.811 ... 7.695 7.872\n",
+       "│       │         * latitude       (latitude) float64 72B 72.1 71.97 71.85 ... 71.34 71.22 71.09\n",
+       "│       │         * longitude      (longitude) float64 72B -33.0 -32.62 -32.24 ... -30.34 -29.96\n",
        "│       │           number         int64 8B ...\n",
        "│       │           step           int64 8B ...\n",
        "│       │           surface        float64 8B ...\n",
@@ -13527,14 +13527,14 @@
        "│       │           GRIB_centreDescription:  European Centre for Medium-Range Weather Forecasts\n",
        "│       │           GRIB_edition:            1\n",
        "│       │           GRIB_subCentre:          0\n",
-       "│       │           history:                 2025-02-27T07:57 GRIB to CDM+CF via cfgrib-0.9.1...\n",
+       "│       │           history:                 2025-04-16T02:40 GRIB to CDM+CF via cfgrib-0.9.1...\n",
        "│       │           institution:             European Centre for Medium-Range Weather Forecasts\n",
        "│       └── Group: /conditions/meteorology/ecmwf\n",
        "│               Dimensions:        (latitude: 9, longitude: 9)\n",
        "│               Coordinates:\n",
        "│                   isobaricInhPa  float64 8B ...\n",
-       "│                 * latitude       (latitude) float64 72B 45.13 45.0 44.88 ... 44.4 44.28 44.16\n",
-       "│                 * longitude      (longitude) float64 72B 6.457 6.634 6.811 ... 7.695 7.872\n",
+       "│                 * latitude       (latitude) float64 72B 72.1 71.97 71.85 ... 71.34 71.22 71.09\n",
+       "│                 * longitude      (longitude) float64 72B -33.0 -32.62 -32.24 ... -30.34 -29.96\n",
        "│                   number         int64 8B ...\n",
        "│                   step           int64 8B ...\n",
        "│                   surface        float64 8B ...\n",
@@ -13553,15 +13553,15 @@
        "│                   GRIB_centreDescription:  European Centre for Medium-Range Weather Forecasts\n",
        "│                   GRIB_edition:            1\n",
        "│                   GRIB_subCentre:          0\n",
-       "│                   history:                 2025-02-27T07:57 GRIB to CDM+CF via cfgrib-0.9.1...\n",
+       "│                   history:                 2025-04-16T02:40 GRIB to CDM+CF via cfgrib-0.9.1...\n",
        "│                   institution:             European Centre for Medium-Range Weather Forecasts\n",
        "├── Group: /measurements\n",
        "│   └── Group: /measurements/reflectance\n",
        "│       ├── Group: /measurements/reflectance/r10m\n",
        "│       │       Dimensions:  (y: 10980, x: 10980)\n",
        "│       │       Coordinates:\n",
-       "│       │         * x        (x) int64 88kB 300005 300015 300025 300035 ... 409775 409785 409795\n",
-       "│       │         * y        (y) int64 88kB 5000035 5000025 5000015 ... 4890265 4890255 4890245\n",
+       "│       │         * x        (x) int64 88kB 499985 499995 500005 500015 ... 609755 609765 609775\n",
+       "│       │         * y        (y) int64 88kB 8000035 8000025 8000015 ... 7890265 7890255 7890245\n",
        "│       │       Data variables:\n",
        "│       │           b02      (y, x) float64 964MB dask.array<chunksize=(1830, 1830), meta=np.ndarray>\n",
        "│       │           b03      (y, x) float64 964MB dask.array<chunksize=(1830, 1830), meta=np.ndarray>\n",
@@ -13570,8 +13570,8 @@
        "│       ├── Group: /measurements/reflectance/r20m\n",
        "│       │       Dimensions:  (y: 5490, x: 5490)\n",
        "│       │       Coordinates:\n",
-       "│       │         * x        (x) int64 44kB 300010 300030 300050 300070 ... 409750 409770 409790\n",
-       "│       │         * y        (y) int64 44kB 5000030 5000010 4999990 ... 4890290 4890270 4890250\n",
+       "│       │         * x        (x) int64 44kB 499990 500010 500030 500050 ... 609730 609750 609770\n",
+       "│       │         * y        (y) int64 44kB 8000030 8000010 7999990 ... 7890290 7890270 7890250\n",
        "│       │       Data variables:\n",
        "│       │           b05      (y, x) float64 241MB dask.array<chunksize=(915, 915), meta=np.ndarray>\n",
        "│       │           b06      (y, x) float64 241MB dask.array<chunksize=(915, 915), meta=np.ndarray>\n",
@@ -13582,8 +13582,8 @@
        "│       └── Group: /measurements/reflectance/r60m\n",
        "│               Dimensions:  (y: 1830, x: 1830)\n",
        "│               Coordinates:\n",
-       "│                 * x        (x) int64 15kB 300030 300090 300150 300210 ... 409650 409710 409770\n",
-       "│                 * y        (y) int64 15kB 5000010 4999950 4999890 ... 4890390 4890330 4890270\n",
+       "│                 * x        (x) int64 15kB 500010 500070 500130 500190 ... 609630 609690 609750\n",
+       "│                 * y        (y) int64 15kB 8000010 7999950 7999890 ... 7890390 7890330 7890270\n",
        "│               Data variables:\n",
        "│                   b01      (y, x) float64 27MB dask.array<chunksize=(305, 305), meta=np.ndarray>\n",
        "│                   b09      (y, x) float64 27MB dask.array<chunksize=(305, 305), meta=np.ndarray>\n",
@@ -13594,16 +13594,16 @@
        "    │           Dimensions:  (band: 3, y: 10980, x: 10980)\n",
        "    │           Coordinates:\n",
        "    │             * band     (band) int64 24B 1 2 3\n",
-       "    │             * x        (x) int64 88kB 300005 300015 300025 300035 ... 409775 409785 409795\n",
-       "    │             * y        (y) int64 88kB 5000035 5000025 5000015 ... 4890265 4890255 4890245\n",
+       "    │             * x        (x) int64 88kB 499985 499995 500005 500015 ... 609755 609765 609775\n",
+       "    │             * y        (y) int64 88kB 8000035 8000025 8000015 ... 7890265 7890255 7890245\n",
        "    │           Data variables:\n",
        "    │               tci      (band, y, x) uint8 362MB dask.array<chunksize=(1, 1830, 1830), meta=np.ndarray>\n",
        "    └── Group: /quality/mask\n",
        "        ├── Group: /quality/mask/r10m\n",
        "        │       Dimensions:  (y: 10980, x: 10980)\n",
        "        │       Coordinates:\n",
-       "        │         * x        (x) int64 88kB 300005 300015 300025 300035 ... 409775 409785 409795\n",
-       "        │         * y        (y) int64 88kB 5000035 5000025 5000015 ... 4890265 4890255 4890245\n",
+       "        │         * x        (x) int64 88kB 499985 499995 500005 500015 ... 609755 609765 609775\n",
+       "        │         * y        (y) int64 88kB 8000035 8000025 8000015 ... 7890265 7890255 7890245\n",
        "        │       Data variables:\n",
        "        │           b02      (y, x) uint8 121MB dask.array<chunksize=(1830, 1830), meta=np.ndarray>\n",
        "        │           b03      (y, x) uint8 121MB dask.array<chunksize=(1830, 1830), meta=np.ndarray>\n",
@@ -13612,8 +13612,8 @@
        "        ├── Group: /quality/mask/r20m\n",
        "        │       Dimensions:  (y: 5490, x: 5490)\n",
        "        │       Coordinates:\n",
-       "        │         * x        (x) int64 44kB 300010 300030 300050 300070 ... 409750 409770 409790\n",
-       "        │         * y        (y) int64 44kB 5000030 5000010 4999990 ... 4890290 4890270 4890250\n",
+       "        │         * x        (x) int64 44kB 499990 500010 500030 500050 ... 609730 609750 609770\n",
+       "        │         * y        (y) int64 44kB 8000030 8000010 7999990 ... 7890290 7890270 7890250\n",
        "        │       Data variables:\n",
        "        │           b05      (y, x) uint8 30MB dask.array<chunksize=(915, 915), meta=np.ndarray>\n",
        "        │           b06      (y, x) uint8 30MB dask.array<chunksize=(915, 915), meta=np.ndarray>\n",
@@ -13624,27 +13624,27 @@
        "        └── Group: /quality/mask/r60m\n",
        "                Dimensions:  (y: 1830, x: 1830)\n",
        "                Coordinates:\n",
-       "                  * x        (x) int64 15kB 300030 300090 300150 300210 ... 409650 409710 409770\n",
-       "                  * y        (y) int64 15kB 5000010 4999950 4999890 ... 4890390 4890330 4890270\n",
+       "                  * x        (x) int64 15kB 500010 500070 500130 500190 ... 609630 609690 609750\n",
+       "                  * y        (y) int64 15kB 8000010 7999950 7999890 ... 7890390 7890330 7890270\n",
        "                Data variables:\n",
        "                    b01      (y, x) uint8 3MB dask.array<chunksize=(305, 305), meta=np.ndarray>\n",
        "                    b09      (y, x) uint8 3MB dask.array<chunksize=(305, 305), meta=np.ndarray>\n",
        "                    b10      (y, x) uint8 3MB dask.array<chunksize=(305, 305), meta=np.ndarray>"
       ]
      },
-     "execution_count": 13,
+     "execution_count": 3,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "dt = xr.open_datatree(path, engine=\"eopf-zarr\", op_mode=\"native\", chunks={})\n",
+    "dt = xr.open_datatree(url, engine=\"eopf-zarr\", op_mode=\"native\", chunks={})\n",
     "dt"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": 4,
    "id": "ab672450-ff12-4a77-8ac1-75089403d469",
    "metadata": {},
    "outputs": [
@@ -14024,14 +14024,14 @@
        "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DatasetView&gt; Size: 4GB\n",
        "Dimensions:  (y: 10980, x: 10980)\n",
        "Coordinates:\n",
-       "  * x        (x) int64 88kB 300005 300015 300025 300035 ... 409775 409785 409795\n",
-       "  * y        (y) int64 88kB 5000035 5000025 5000015 ... 4890265 4890255 4890245\n",
+       "  * x        (x) int64 88kB 499985 499995 500005 500015 ... 609755 609765 609775\n",
+       "  * y        (y) int64 88kB 8000035 8000025 8000015 ... 7890265 7890255 7890245\n",
        "Data variables:\n",
        "    b02      (y, x) float64 964MB dask.array&lt;chunksize=(1830, 1830), meta=np.ndarray&gt;\n",
        "    b03      (y, x) float64 964MB dask.array&lt;chunksize=(1830, 1830), meta=np.ndarray&gt;\n",
        "    b04      (y, x) float64 964MB dask.array&lt;chunksize=(1830, 1830), meta=np.ndarray&gt;\n",
-       "    b08      (y, x) float64 964MB dask.array&lt;chunksize=(1830, 1830), meta=np.ndarray&gt;</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DatasetView</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-747ea925-8e80-406a-ad4b-2e6f44e00a0c' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-747ea925-8e80-406a-ad4b-2e6f44e00a0c' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>y</span>: 10980</li><li><span class='xr-has-index'>x</span>: 10980</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-3e8ac59d-e604-4171-b8e7-38dd00198bd1' class='xr-section-summary-in' type='checkbox'  checked><label for='section-3e8ac59d-e604-4171-b8e7-38dd00198bd1' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>300005 300015 ... 409785 409795</div><input id='attrs-c2ba1558-37ab-4a7e-84f7-1172d82cd680' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-c2ba1558-37ab-4a7e-84f7-1172d82cd680' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-94a00e34-d980-4b21-b27c-47a5a940dff1' class='xr-var-data-in' type='checkbox'><label for='data-94a00e34-d980-4b21-b27c-47a5a940dff1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([300005, 300015, 300025, ..., 409775, 409785, 409795], shape=(10980,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>5000035 5000025 ... 4890255 4890245</div><input id='attrs-2857d7a5-9833-4c42-aed8-2b51bcd28dc7' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-2857d7a5-9833-4c42-aed8-2b51bcd28dc7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e3969ac5-5527-4736-94e7-c903d211a1ea' class='xr-var-data-in' type='checkbox'><label for='data-e3969ac5-5527-4736-94e7-c903d211a1ea' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([5000035, 5000025, 5000015, ..., 4890265, 4890255, 4890245],\n",
-       "      shape=(10980,))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-415cf56b-545b-479d-b6b4-410247d868e1' class='xr-section-summary-in' type='checkbox'  checked><label for='section-415cf56b-545b-479d-b6b4-410247d868e1' class='xr-section-summary' >Data variables: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>b02</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1830, 1830), meta=np.ndarray&gt;</div><input id='attrs-d2857b60-4ed2-4252-837c-3f887c20f2d7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d2857b60-4ed2-4252-837c-3f887c20f2d7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9aef04fd-99df-4289-b1e2-76626b4be05d' class='xr-var-data-in' type='checkbox'><label for='data-9aef04fd-99df-4289-b1e2-76626b4be05d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;add_offset&#x27;: -0.1, &#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;fill_value&#x27;: 0, &#x27;scale_factor&#x27;: 0.0001, &#x27;units&#x27;: &#x27;digital_counts&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u2</dd><dt><span>fill_value :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>TOA reflectance from MSI acquisition at spectral band b02 492.3 nm</dd><dt><span>proj:bbox :</span></dt><dd>[300000.0, 4890240.0, 409800.0, 5000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32632</dd><dt><span>proj:shape :</span></dt><dd>[10980, 10980]</dd><dt><span>proj:transform :</span></dt><dd>[10.0, 0.0, 300000.0, 0.0, -10.0, 5000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 32N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,9],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32632&quot;]]</dd><dt><span>units :</span></dt><dd>digital_counts</dd><dt><span>valid_max :</span></dt><dd>65535</dd><dt><span>valid_min :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    b08      (y, x) float64 964MB dask.array&lt;chunksize=(1830, 1830), meta=np.ndarray&gt;</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DatasetView</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-2a40acb0-9f72-4f9f-a1df-6e78c8e3b98f' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-2a40acb0-9f72-4f9f-a1df-6e78c8e3b98f' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>y</span>: 10980</li><li><span class='xr-has-index'>x</span>: 10980</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-b0160ed5-e75e-4bc0-84a7-0e916b740fbb' class='xr-section-summary-in' type='checkbox'  checked><label for='section-b0160ed5-e75e-4bc0-84a7-0e916b740fbb' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>499985 499995 ... 609765 609775</div><input id='attrs-68363662-f47b-4347-8fa9-f28d7f29c7b1' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-68363662-f47b-4347-8fa9-f28d7f29c7b1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d30a1bba-3e0a-4a7b-8a27-51de573a47db' class='xr-var-data-in' type='checkbox'><label for='data-d30a1bba-3e0a-4a7b-8a27-51de573a47db' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([499985, 499995, 500005, ..., 609755, 609765, 609775], shape=(10980,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>8000035 8000025 ... 7890255 7890245</div><input id='attrs-c3ba57f4-c637-47ea-ba1c-673c3c71b8cf' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-c3ba57f4-c637-47ea-ba1c-673c3c71b8cf' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2d43cc59-1de4-476a-92c1-55c064d721f2' class='xr-var-data-in' type='checkbox'><label for='data-2d43cc59-1de4-476a-92c1-55c064d721f2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([8000035, 8000025, 8000015, ..., 7890265, 7890255, 7890245],\n",
+       "      shape=(10980,))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-c1080a1f-e5e1-442b-bf0f-086c0e703676' class='xr-section-summary-in' type='checkbox'  checked><label for='section-c1080a1f-e5e1-442b-bf0f-086c0e703676' class='xr-section-summary' >Data variables: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>b02</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1830, 1830), meta=np.ndarray&gt;</div><input id='attrs-20716071-9c55-473d-b571-ba269b3702e5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-20716071-9c55-473d-b571-ba269b3702e5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-61126ec2-fa53-4f32-9c78-2fc247de48f3' class='xr-var-data-in' type='checkbox'><label for='data-61126ec2-fa53-4f32-9c78-2fc247de48f3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;add_offset&#x27;: -0.1, &#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;dtype&#x27;: &#x27;&lt;u2&#x27;, &#x27;fill_value&#x27;: 0, &#x27;long_name&#x27;: &#x27;TOA reflectance from MSI acquisition at spectral band b02 492.3 nm&#x27;, &#x27;scale_factor&#x27;: 0.0001, &#x27;units&#x27;: &#x27;digital_counts&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u2</dd><dt><span>fill_value :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>TOA reflectance from MSI acquisition at spectral band b02 492.3 nm</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 7890240.0, 609780.0, 8000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32625</dd><dt><span>proj:shape :</span></dt><dd>[10980, 10980]</dd><dt><span>proj:transform :</span></dt><dd>[10.0, 0.0, 499980.0, 0.0, -10.0, 8000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 25N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,-33],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32625&quot;]]</dd><dt><span>units :</span></dt><dd>digital_counts</dd><dt><span>valid_max :</span></dt><dd>65535</dd><dt><span>valid_min :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -14096,7 +14096,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b03</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1830, 1830), meta=np.ndarray&gt;</div><input id='attrs-1e2fa5cd-9184-4d52-9294-667065d23c09' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1e2fa5cd-9184-4d52-9294-667065d23c09' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2efb4544-1680-4ee5-b53a-8f11825cbf33' class='xr-var-data-in' type='checkbox'><label for='data-2efb4544-1680-4ee5-b53a-8f11825cbf33' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;add_offset&#x27;: -0.1, &#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;fill_value&#x27;: 0, &#x27;scale_factor&#x27;: 0.0001, &#x27;units&#x27;: &#x27;digital_counts&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u2</dd><dt><span>fill_value :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>TOA reflectance from MSI acquisition at spectral band b03 559.0 nm</dd><dt><span>proj:bbox :</span></dt><dd>[300000.0, 4890240.0, 409800.0, 5000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32632</dd><dt><span>proj:shape :</span></dt><dd>[10980, 10980]</dd><dt><span>proj:transform :</span></dt><dd>[10.0, 0.0, 300000.0, 0.0, -10.0, 5000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 32N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,9],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32632&quot;]]</dd><dt><span>units :</span></dt><dd>digital_counts</dd><dt><span>valid_max :</span></dt><dd>65535</dd><dt><span>valid_min :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b03</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1830, 1830), meta=np.ndarray&gt;</div><input id='attrs-4f35f60a-b643-4587-ad33-41d58137774d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4f35f60a-b643-4587-ad33-41d58137774d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4298fc33-1238-47ce-9a65-d02c03fbbe8d' class='xr-var-data-in' type='checkbox'><label for='data-4298fc33-1238-47ce-9a65-d02c03fbbe8d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;add_offset&#x27;: -0.1, &#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;dtype&#x27;: &#x27;&lt;u2&#x27;, &#x27;fill_value&#x27;: 0, &#x27;long_name&#x27;: &#x27;TOA reflectance from MSI acquisition at spectral band b03 559.0 nm&#x27;, &#x27;scale_factor&#x27;: 0.0001, &#x27;units&#x27;: &#x27;digital_counts&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u2</dd><dt><span>fill_value :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>TOA reflectance from MSI acquisition at spectral band b03 559.0 nm</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 7890240.0, 609780.0, 8000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32625</dd><dt><span>proj:shape :</span></dt><dd>[10980, 10980]</dd><dt><span>proj:transform :</span></dt><dd>[10.0, 0.0, 499980.0, 0.0, -10.0, 8000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 25N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,-33],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32625&quot;]]</dd><dt><span>units :</span></dt><dd>digital_counts</dd><dt><span>valid_max :</span></dt><dd>65535</dd><dt><span>valid_min :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -14161,7 +14161,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b04</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1830, 1830), meta=np.ndarray&gt;</div><input id='attrs-2a6d25ce-22a0-44cf-949b-47e69414cb41' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2a6d25ce-22a0-44cf-949b-47e69414cb41' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-498621b7-cd5d-4eb7-a756-866dcb5441ea' class='xr-var-data-in' type='checkbox'><label for='data-498621b7-cd5d-4eb7-a756-866dcb5441ea' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;add_offset&#x27;: -0.1, &#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;fill_value&#x27;: 0, &#x27;scale_factor&#x27;: 0.0001, &#x27;units&#x27;: &#x27;digital_counts&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u2</dd><dt><span>fill_value :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>TOA reflectance from MSI acquisition at spectral band b04 665.0 nm</dd><dt><span>proj:bbox :</span></dt><dd>[300000.0, 4890240.0, 409800.0, 5000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32632</dd><dt><span>proj:shape :</span></dt><dd>[10980, 10980]</dd><dt><span>proj:transform :</span></dt><dd>[10.0, 0.0, 300000.0, 0.0, -10.0, 5000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 32N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,9],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32632&quot;]]</dd><dt><span>units :</span></dt><dd>digital_counts</dd><dt><span>valid_max :</span></dt><dd>65535</dd><dt><span>valid_min :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b04</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1830, 1830), meta=np.ndarray&gt;</div><input id='attrs-82a24a64-29c3-405b-a393-b1fcc932d0c6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-82a24a64-29c3-405b-a393-b1fcc932d0c6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-62242527-d423-4af8-b593-4a47447e882e' class='xr-var-data-in' type='checkbox'><label for='data-62242527-d423-4af8-b593-4a47447e882e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;add_offset&#x27;: -0.1, &#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;dtype&#x27;: &#x27;&lt;u2&#x27;, &#x27;fill_value&#x27;: 0, &#x27;long_name&#x27;: &#x27;TOA reflectance from MSI acquisition at spectral band b04 665.0 nm&#x27;, &#x27;scale_factor&#x27;: 0.0001, &#x27;units&#x27;: &#x27;digital_counts&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u2</dd><dt><span>fill_value :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>TOA reflectance from MSI acquisition at spectral band b04 665.0 nm</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 7890240.0, 609780.0, 8000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32625</dd><dt><span>proj:shape :</span></dt><dd>[10980, 10980]</dd><dt><span>proj:transform :</span></dt><dd>[10.0, 0.0, 499980.0, 0.0, -10.0, 8000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 25N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,-33],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32625&quot;]]</dd><dt><span>units :</span></dt><dd>digital_counts</dd><dt><span>valid_max :</span></dt><dd>65535</dd><dt><span>valid_min :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -14226,7 +14226,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b08</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1830, 1830), meta=np.ndarray&gt;</div><input id='attrs-31575ef5-7bd4-49c9-afa6-b9e694df5a65' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-31575ef5-7bd4-49c9-afa6-b9e694df5a65' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6d4be63b-0ad6-4f1d-978e-e93e0e1da598' class='xr-var-data-in' type='checkbox'><label for='data-6d4be63b-0ad6-4f1d-978e-e93e0e1da598' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;add_offset&#x27;: -0.1, &#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;fill_value&#x27;: 0, &#x27;scale_factor&#x27;: 0.0001, &#x27;units&#x27;: &#x27;digital_counts&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u2</dd><dt><span>fill_value :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>TOA reflectance from MSI acquisition at spectral band b08 833.0 nm</dd><dt><span>proj:bbox :</span></dt><dd>[300000.0, 4890240.0, 409800.0, 5000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32632</dd><dt><span>proj:shape :</span></dt><dd>[10980, 10980]</dd><dt><span>proj:transform :</span></dt><dd>[10.0, 0.0, 300000.0, 0.0, -10.0, 5000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 32N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,9],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32632&quot;]]</dd><dt><span>units :</span></dt><dd>digital_counts</dd><dt><span>valid_max :</span></dt><dd>65535</dd><dt><span>valid_min :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b08</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1830, 1830), meta=np.ndarray&gt;</div><input id='attrs-21ca15ce-d9e4-4a3a-9bc6-7cb53667d8bc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-21ca15ce-d9e4-4a3a-9bc6-7cb53667d8bc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ff92fa8b-21e7-49d4-ae45-26b421941d1a' class='xr-var-data-in' type='checkbox'><label for='data-ff92fa8b-21e7-49d4-ae45-26b421941d1a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;add_offset&#x27;: -0.1, &#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;dtype&#x27;: &#x27;&lt;u2&#x27;, &#x27;fill_value&#x27;: 0, &#x27;long_name&#x27;: &#x27;TOA reflectance from MSI acquisition at spectral band b08 833.0 nm&#x27;, &#x27;scale_factor&#x27;: 0.0001, &#x27;units&#x27;: &#x27;digital_counts&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u2</dd><dt><span>fill_value :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>TOA reflectance from MSI acquisition at spectral band b08 833.0 nm</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 7890240.0, 609780.0, 8000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32625</dd><dt><span>proj:shape :</span></dt><dd>[10980, 10980]</dd><dt><span>proj:transform :</span></dt><dd>[10.0, 0.0, 499980.0, 0.0, -10.0, 8000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 25N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,-33],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32625&quot;]]</dd><dt><span>units :</span></dt><dd>digital_counts</dd><dt><span>valid_max :</span></dt><dd>65535</dd><dt><span>valid_min :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -14291,24 +14291,24 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-9030e77d-c357-4359-b1bf-33e11f177743' class='xr-section-summary-in' type='checkbox'  ><label for='section-9030e77d-c357-4359-b1bf-33e11f177743' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>x</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-4c00960e-e65d-48eb-aa23-de9cd8a73573' class='xr-index-data-in' type='checkbox'/><label for='index-4c00960e-e65d-48eb-aa23-de9cd8a73573' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([300005, 300015, 300025, 300035, 300045, 300055, 300065, 300075, 300085,\n",
-       "       300095,\n",
+       "</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-1b2e2ce7-11bd-4cf2-be8a-a0f4aca4db26' class='xr-section-summary-in' type='checkbox'  ><label for='section-1b2e2ce7-11bd-4cf2-be8a-a0f4aca4db26' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>x</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-0c589cd7-ad3e-4c11-b73c-70f32944a511' class='xr-index-data-in' type='checkbox'/><label for='index-0c589cd7-ad3e-4c11-b73c-70f32944a511' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([499985, 499995, 500005, 500015, 500025, 500035, 500045, 500055, 500065,\n",
+       "       500075,\n",
        "       ...\n",
-       "       409705, 409715, 409725, 409735, 409745, 409755, 409765, 409775, 409785,\n",
-       "       409795],\n",
-       "      dtype=&#x27;int64&#x27;, name=&#x27;x&#x27;, length=10980))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>y</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-bc4cac25-5586-41e9-982e-6ee3b3657086' class='xr-index-data-in' type='checkbox'/><label for='index-bc4cac25-5586-41e9-982e-6ee3b3657086' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([5000035, 5000025, 5000015, 5000005, 4999995, 4999985, 4999975, 4999965,\n",
-       "       4999955, 4999945,\n",
+       "       609685, 609695, 609705, 609715, 609725, 609735, 609745, 609755, 609765,\n",
+       "       609775],\n",
+       "      dtype=&#x27;int64&#x27;, name=&#x27;x&#x27;, length=10980))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>y</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-433fb795-e49d-4da5-b019-9c4fa8420d49' class='xr-index-data-in' type='checkbox'/><label for='index-433fb795-e49d-4da5-b019-9c4fa8420d49' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([8000035, 8000025, 8000015, 8000005, 7999995, 7999985, 7999975, 7999965,\n",
+       "       7999955, 7999945,\n",
        "       ...\n",
-       "       4890335, 4890325, 4890315, 4890305, 4890295, 4890285, 4890275, 4890265,\n",
-       "       4890255, 4890245],\n",
-       "      dtype=&#x27;int64&#x27;, name=&#x27;y&#x27;, length=10980))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-71cf4f6a-acf4-4d37-b641-d41b3f240ad8' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-71cf4f6a-acf4-4d37-b641-d41b3f240ad8' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
+       "       7890335, 7890325, 7890315, 7890305, 7890295, 7890285, 7890275, 7890265,\n",
+       "       7890255, 7890245],\n",
+       "      dtype=&#x27;int64&#x27;, name=&#x27;y&#x27;, length=10980))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-a95ed5c5-c5b4-4bcd-bdab-be70992f7c5c' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-a95ed5c5-c5b4-4bcd-bdab-be70992f7c5c' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
       ],
       "text/plain": [
        "<xarray.DatasetView> Size: 4GB\n",
        "Dimensions:  (y: 10980, x: 10980)\n",
        "Coordinates:\n",
-       "  * x        (x) int64 88kB 300005 300015 300025 300035 ... 409775 409785 409795\n",
-       "  * y        (y) int64 88kB 5000035 5000025 5000015 ... 4890265 4890255 4890245\n",
+       "  * x        (x) int64 88kB 499985 499995 500005 500015 ... 609755 609765 609775\n",
+       "  * y        (y) int64 88kB 8000035 8000025 8000015 ... 7890265 7890255 7890245\n",
        "Data variables:\n",
        "    b02      (y, x) float64 964MB dask.array<chunksize=(1830, 1830), meta=np.ndarray>\n",
        "    b03      (y, x) float64 964MB dask.array<chunksize=(1830, 1830), meta=np.ndarray>\n",
@@ -14316,7 +14316,7 @@
        "    b08      (y, x) float64 964MB dask.array<chunksize=(1830, 1830), meta=np.ndarray>"
       ]
      },
-     "execution_count": 14,
+     "execution_count": 4,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -14328,7 +14328,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 15,
+   "execution_count": 5,
    "id": "83b1ff15-e6bb-48aa-9878-9031ece1e631",
    "metadata": {},
    "outputs": [
@@ -14708,21 +14708,21 @@
        "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;b02&#x27; (y: 10980, x: 10980)&gt; Size: 964MB\n",
        "dask.array&lt;open_dataset-b02, shape=(10980, 10980), dtype=float64, chunksize=(1830, 1830), chunktype=numpy.ndarray&gt;\n",
        "Coordinates:\n",
-       "  * x        (x) int64 88kB 300005 300015 300025 300035 ... 409775 409785 409795\n",
-       "  * y        (y) int64 88kB 5000035 5000025 5000015 ... 4890265 4890255 4890245\n",
+       "  * x        (x) int64 88kB 499985 499995 500005 500015 ... 609755 609765 609775\n",
+       "  * y        (y) int64 88kB 8000035 8000025 8000015 ... 7890265 7890255 7890245\n",
        "Attributes:\n",
        "    _eopf_attrs:     {&#x27;add_offset&#x27;: -0.1, &#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensi...\n",
        "    dtype:           &lt;u2\n",
        "    fill_value:      0\n",
        "    long_name:       TOA reflectance from MSI acquisition at spectral band b0...\n",
-       "    proj:bbox:       [300000.0, 4890240.0, 409800.0, 5000040.0]\n",
-       "    proj:epsg:       32632\n",
+       "    proj:bbox:       [499980.0, 7890240.0, 609780.0, 8000040.0]\n",
+       "    proj:epsg:       32625\n",
        "    proj:shape:      [10980, 10980]\n",
-       "    proj:transform:  [10.0, 0.0, 300000.0, 0.0, -10.0, 5000040.0, 0.0, 0.0, 1.0]\n",
-       "    proj:wkt2:       PROJCS[&quot;WGS 84 / UTM zone 32N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WG...\n",
+       "    proj:transform:  [10.0, 0.0, 499980.0, 0.0, -10.0, 8000040.0, 0.0, 0.0, 1.0]\n",
+       "    proj:wkt2:       PROJCS[&quot;WGS 84 / UTM zone 25N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WG...\n",
        "    units:           digital_counts\n",
        "    valid_max:       65535\n",
-       "    valid_min:       1</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'b02'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>y</span>: 10980</li><li><span class='xr-has-index'>x</span>: 10980</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-ed760386-89a2-45f1-acee-99f9333be533' class='xr-array-in' type='checkbox' checked><label for='section-ed760386-89a2-45f1-acee-99f9333be533' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>dask.array&lt;chunksize=(1830, 1830), meta=np.ndarray&gt;</span></div><div class='xr-array-data'><table>\n",
+       "    valid_min:       1</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'b02'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>y</span>: 10980</li><li><span class='xr-has-index'>x</span>: 10980</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-1bfe9b48-f2b3-4e4f-8401-500f47e5e363' class='xr-array-in' type='checkbox' checked><label for='section-1bfe9b48-f2b3-4e4f-8401-500f47e5e363' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>dask.array&lt;chunksize=(1830, 1830), meta=np.ndarray&gt;</span></div><div class='xr-array-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -14787,41 +14787,41 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></div></li><li class='xr-section-item'><input id='section-c916771d-f125-480e-8800-192e411e201a' class='xr-section-summary-in' type='checkbox'  checked><label for='section-c916771d-f125-480e-8800-192e411e201a' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>300005 300015 ... 409785 409795</div><input id='attrs-d272b9d7-5f2f-491a-b63f-c6af3df75ef0' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-d272b9d7-5f2f-491a-b63f-c6af3df75ef0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-74f0fcff-62f4-4519-8ff3-0378d8d98e4b' class='xr-var-data-in' type='checkbox'><label for='data-74f0fcff-62f4-4519-8ff3-0378d8d98e4b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([300005, 300015, 300025, ..., 409775, 409785, 409795], shape=(10980,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>5000035 5000025 ... 4890255 4890245</div><input id='attrs-88345018-bdd5-4396-ab34-d0fa4b67bb35' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-88345018-bdd5-4396-ab34-d0fa4b67bb35' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9065f1bf-fd8f-4ed5-95c1-64fdb6dd0836' class='xr-var-data-in' type='checkbox'><label for='data-9065f1bf-fd8f-4ed5-95c1-64fdb6dd0836' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([5000035, 5000025, 5000015, ..., 4890265, 4890255, 4890245],\n",
-       "      shape=(10980,))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-0d8ea322-9921-47dc-bb94-967249ae50e5' class='xr-section-summary-in' type='checkbox'  ><label for='section-0d8ea322-9921-47dc-bb94-967249ae50e5' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>x</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-012a6064-b3e3-42e1-873e-096ba9f93cd2' class='xr-index-data-in' type='checkbox'/><label for='index-012a6064-b3e3-42e1-873e-096ba9f93cd2' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([300005, 300015, 300025, 300035, 300045, 300055, 300065, 300075, 300085,\n",
-       "       300095,\n",
+       "</table></div></div></li><li class='xr-section-item'><input id='section-9ae0ae05-8120-4de2-94f0-1de8b30e2ffd' class='xr-section-summary-in' type='checkbox'  checked><label for='section-9ae0ae05-8120-4de2-94f0-1de8b30e2ffd' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>499985 499995 ... 609765 609775</div><input id='attrs-49812244-a420-4aaf-b344-22468039583a' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-49812244-a420-4aaf-b344-22468039583a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-af0cc688-87c2-41bb-8837-602457dfc44f' class='xr-var-data-in' type='checkbox'><label for='data-af0cc688-87c2-41bb-8837-602457dfc44f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([499985, 499995, 500005, ..., 609755, 609765, 609775], shape=(10980,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>8000035 8000025 ... 7890255 7890245</div><input id='attrs-70a0c6ad-9825-480b-ad70-808734dbdb28' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-70a0c6ad-9825-480b-ad70-808734dbdb28' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-050cba96-502d-46d4-8409-2bbcabc99b15' class='xr-var-data-in' type='checkbox'><label for='data-050cba96-502d-46d4-8409-2bbcabc99b15' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([8000035, 8000025, 8000015, ..., 7890265, 7890255, 7890245],\n",
+       "      shape=(10980,))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-89f57b92-e537-4026-b38e-4e08624cb4c8' class='xr-section-summary-in' type='checkbox'  ><label for='section-89f57b92-e537-4026-b38e-4e08624cb4c8' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>x</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-fe726906-b120-423c-bfb4-97a115b4d9b9' class='xr-index-data-in' type='checkbox'/><label for='index-fe726906-b120-423c-bfb4-97a115b4d9b9' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([499985, 499995, 500005, 500015, 500025, 500035, 500045, 500055, 500065,\n",
+       "       500075,\n",
        "       ...\n",
-       "       409705, 409715, 409725, 409735, 409745, 409755, 409765, 409775, 409785,\n",
-       "       409795],\n",
-       "      dtype=&#x27;int64&#x27;, name=&#x27;x&#x27;, length=10980))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>y</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-ca6eb488-3ae3-44b2-aa91-8f65cf0be0c1' class='xr-index-data-in' type='checkbox'/><label for='index-ca6eb488-3ae3-44b2-aa91-8f65cf0be0c1' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([5000035, 5000025, 5000015, 5000005, 4999995, 4999985, 4999975, 4999965,\n",
-       "       4999955, 4999945,\n",
+       "       609685, 609695, 609705, 609715, 609725, 609735, 609745, 609755, 609765,\n",
+       "       609775],\n",
+       "      dtype=&#x27;int64&#x27;, name=&#x27;x&#x27;, length=10980))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>y</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-934cc786-5eb6-4c48-8949-0311b2f2ba9e' class='xr-index-data-in' type='checkbox'/><label for='index-934cc786-5eb6-4c48-8949-0311b2f2ba9e' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([8000035, 8000025, 8000015, 8000005, 7999995, 7999985, 7999975, 7999965,\n",
+       "       7999955, 7999945,\n",
        "       ...\n",
-       "       4890335, 4890325, 4890315, 4890305, 4890295, 4890285, 4890275, 4890265,\n",
-       "       4890255, 4890245],\n",
-       "      dtype=&#x27;int64&#x27;, name=&#x27;y&#x27;, length=10980))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-8a865440-491a-482b-a1bc-9c96f82e38b6' class='xr-section-summary-in' type='checkbox'  ><label for='section-8a865440-491a-482b-a1bc-9c96f82e38b6' class='xr-section-summary' >Attributes: <span>(12)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;add_offset&#x27;: -0.1, &#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;fill_value&#x27;: 0, &#x27;scale_factor&#x27;: 0.0001, &#x27;units&#x27;: &#x27;digital_counts&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u2</dd><dt><span>fill_value :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>TOA reflectance from MSI acquisition at spectral band b02 492.3 nm</dd><dt><span>proj:bbox :</span></dt><dd>[300000.0, 4890240.0, 409800.0, 5000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32632</dd><dt><span>proj:shape :</span></dt><dd>[10980, 10980]</dd><dt><span>proj:transform :</span></dt><dd>[10.0, 0.0, 300000.0, 0.0, -10.0, 5000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 32N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,9],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32632&quot;]]</dd><dt><span>units :</span></dt><dd>digital_counts</dd><dt><span>valid_max :</span></dt><dd>65535</dd><dt><span>valid_min :</span></dt><dd>1</dd></dl></div></li></ul></div></div>"
+       "       7890335, 7890325, 7890315, 7890305, 7890295, 7890285, 7890275, 7890265,\n",
+       "       7890255, 7890245],\n",
+       "      dtype=&#x27;int64&#x27;, name=&#x27;y&#x27;, length=10980))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-13a6bcb8-dfc2-47b0-b23a-fa435ef776bc' class='xr-section-summary-in' type='checkbox'  ><label for='section-13a6bcb8-dfc2-47b0-b23a-fa435ef776bc' class='xr-section-summary' >Attributes: <span>(12)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;add_offset&#x27;: -0.1, &#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;dtype&#x27;: &#x27;&lt;u2&#x27;, &#x27;fill_value&#x27;: 0, &#x27;long_name&#x27;: &#x27;TOA reflectance from MSI acquisition at spectral band b02 492.3 nm&#x27;, &#x27;scale_factor&#x27;: 0.0001, &#x27;units&#x27;: &#x27;digital_counts&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u2</dd><dt><span>fill_value :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>TOA reflectance from MSI acquisition at spectral band b02 492.3 nm</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 7890240.0, 609780.0, 8000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32625</dd><dt><span>proj:shape :</span></dt><dd>[10980, 10980]</dd><dt><span>proj:transform :</span></dt><dd>[10.0, 0.0, 499980.0, 0.0, -10.0, 8000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 25N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,-33],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32625&quot;]]</dd><dt><span>units :</span></dt><dd>digital_counts</dd><dt><span>valid_max :</span></dt><dd>65535</dd><dt><span>valid_min :</span></dt><dd>1</dd></dl></div></li></ul></div></div>"
       ],
       "text/plain": [
        "<xarray.DataArray 'b02' (y: 10980, x: 10980)> Size: 964MB\n",
        "dask.array<open_dataset-b02, shape=(10980, 10980), dtype=float64, chunksize=(1830, 1830), chunktype=numpy.ndarray>\n",
        "Coordinates:\n",
-       "  * x        (x) int64 88kB 300005 300015 300025 300035 ... 409775 409785 409795\n",
-       "  * y        (y) int64 88kB 5000035 5000025 5000015 ... 4890265 4890255 4890245\n",
+       "  * x        (x) int64 88kB 499985 499995 500005 500015 ... 609755 609765 609775\n",
+       "  * y        (y) int64 88kB 8000035 8000025 8000015 ... 7890265 7890255 7890245\n",
        "Attributes:\n",
        "    _eopf_attrs:     {'add_offset': -0.1, 'coordinates': ['x', 'y'], 'dimensi...\n",
        "    dtype:           <u2\n",
        "    fill_value:      0\n",
        "    long_name:       TOA reflectance from MSI acquisition at spectral band b0...\n",
-       "    proj:bbox:       [300000.0, 4890240.0, 409800.0, 5000040.0]\n",
-       "    proj:epsg:       32632\n",
+       "    proj:bbox:       [499980.0, 7890240.0, 609780.0, 8000040.0]\n",
+       "    proj:epsg:       32625\n",
        "    proj:shape:      [10980, 10980]\n",
-       "    proj:transform:  [10.0, 0.0, 300000.0, 0.0, -10.0, 5000040.0, 0.0, 0.0, 1.0]\n",
-       "    proj:wkt2:       PROJCS[\"WGS 84 / UTM zone 32N\",GEOGCS[\"WGS 84\",DATUM[\"WG...\n",
+       "    proj:transform:  [10.0, 0.0, 499980.0, 0.0, -10.0, 8000040.0, 0.0, 0.0, 1.0]\n",
+       "    proj:wkt2:       PROJCS[\"WGS 84 / UTM zone 25N\",GEOGCS[\"WGS 84\",DATUM[\"WG...\n",
        "    units:           digital_counts\n",
        "    valid_max:       65535\n",
        "    valid_min:       1"
       ]
      },
-     "execution_count": 15,
+     "execution_count": 5,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -14832,7 +14832,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 16,
+   "execution_count": 6,
    "id": "6fc2e764-d30c-44db-9293-1d2aa6c680c7",
    "metadata": {},
    "outputs": [
@@ -15212,13 +15212,13 @@
        "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DatasetView&gt; Size: 80MB\n",
        "Dimensions:  (y: 1830, x: 1830)\n",
        "Coordinates:\n",
-       "  * x        (x) int64 15kB 300030 300090 300150 300210 ... 409650 409710 409770\n",
-       "  * y        (y) int64 15kB 5000010 4999950 4999890 ... 4890390 4890330 4890270\n",
+       "  * x        (x) int64 15kB 500010 500070 500130 500190 ... 609630 609690 609750\n",
+       "  * y        (y) int64 15kB 8000010 7999950 7999890 ... 7890390 7890330 7890270\n",
        "Data variables:\n",
        "    b01      (y, x) float64 27MB dask.array&lt;chunksize=(305, 305), meta=np.ndarray&gt;\n",
        "    b09      (y, x) float64 27MB dask.array&lt;chunksize=(305, 305), meta=np.ndarray&gt;\n",
-       "    b10      (y, x) float64 27MB dask.array&lt;chunksize=(305, 305), meta=np.ndarray&gt;</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DatasetView</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-66623d66-84fe-4d88-bd22-136d70d30de3' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-66623d66-84fe-4d88-bd22-136d70d30de3' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>y</span>: 1830</li><li><span class='xr-has-index'>x</span>: 1830</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-2d2b435e-fd5b-473c-bddd-6d1a7670e5eb' class='xr-section-summary-in' type='checkbox'  checked><label for='section-2d2b435e-fd5b-473c-bddd-6d1a7670e5eb' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>300030 300090 ... 409710 409770</div><input id='attrs-3cb0a03c-1f7f-4ddb-9bf2-02c84fa3dd46' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-3cb0a03c-1f7f-4ddb-9bf2-02c84fa3dd46' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1842838f-24e2-4ea5-b05b-40393410e0ee' class='xr-var-data-in' type='checkbox'><label for='data-1842838f-24e2-4ea5-b05b-40393410e0ee' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([300030, 300090, 300150, ..., 409650, 409710, 409770], shape=(1830,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>5000010 4999950 ... 4890330 4890270</div><input id='attrs-0ed8e5f3-9a48-49b7-9098-50209b5f0b97' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-0ed8e5f3-9a48-49b7-9098-50209b5f0b97' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5b06e0d3-3d00-4804-8dca-c5d6a372c6fe' class='xr-var-data-in' type='checkbox'><label for='data-5b06e0d3-3d00-4804-8dca-c5d6a372c6fe' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([5000010, 4999950, 4999890, ..., 4890390, 4890330, 4890270],\n",
-       "      shape=(1830,))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-20b3e202-df2e-4d42-8b6b-61d52da10fe4' class='xr-section-summary-in' type='checkbox'  checked><label for='section-20b3e202-df2e-4d42-8b6b-61d52da10fe4' class='xr-section-summary' >Data variables: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>b01</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(305, 305), meta=np.ndarray&gt;</div><input id='attrs-b0344a70-7fda-4b24-bca9-60bf8ef2348c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b0344a70-7fda-4b24-bca9-60bf8ef2348c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-91966c43-28e2-4127-a6f2-1d3be6c9e5f5' class='xr-var-data-in' type='checkbox'><label for='data-91966c43-28e2-4127-a6f2-1d3be6c9e5f5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;add_offset&#x27;: -0.1, &#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;fill_value&#x27;: 0, &#x27;scale_factor&#x27;: 0.0001, &#x27;units&#x27;: &#x27;digital_counts&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u2</dd><dt><span>fill_value :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>TOA reflectance from MSI acquisition at spectral band b01 442.3 nm</dd><dt><span>proj:bbox :</span></dt><dd>[300000.0, 4890240.0, 409800.0, 5000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32632</dd><dt><span>proj:shape :</span></dt><dd>[1830, 1830]</dd><dt><span>proj:transform :</span></dt><dd>[60.0, 0.0, 300000.0, 0.0, -60.0, 5000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 32N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,9],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32632&quot;]]</dd><dt><span>units :</span></dt><dd>digital_counts</dd><dt><span>valid_max :</span></dt><dd>65535</dd><dt><span>valid_min :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    b10      (y, x) float64 27MB dask.array&lt;chunksize=(305, 305), meta=np.ndarray&gt;</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DatasetView</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-568a7e04-93d4-42f7-bbac-41ff1e6f0052' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-568a7e04-93d4-42f7-bbac-41ff1e6f0052' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>y</span>: 1830</li><li><span class='xr-has-index'>x</span>: 1830</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-d60b08ae-f04d-4a86-ab48-27e1fdec3856' class='xr-section-summary-in' type='checkbox'  checked><label for='section-d60b08ae-f04d-4a86-ab48-27e1fdec3856' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>500010 500070 ... 609690 609750</div><input id='attrs-4fedd4fd-34bc-4865-a4ff-50b65539c43c' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-4fedd4fd-34bc-4865-a4ff-50b65539c43c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a6bb9470-293f-44ea-af72-dd252d2e19c6' class='xr-var-data-in' type='checkbox'><label for='data-a6bb9470-293f-44ea-af72-dd252d2e19c6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([500010, 500070, 500130, ..., 609630, 609690, 609750], shape=(1830,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>8000010 7999950 ... 7890330 7890270</div><input id='attrs-4ba51857-e1bd-4e7f-86b1-4129b9e0a57d' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-4ba51857-e1bd-4e7f-86b1-4129b9e0a57d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dc8482a0-8885-45bd-ac23-71e92026c314' class='xr-var-data-in' type='checkbox'><label for='data-dc8482a0-8885-45bd-ac23-71e92026c314' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([8000010, 7999950, 7999890, ..., 7890390, 7890330, 7890270],\n",
+       "      shape=(1830,))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-b2e38814-542f-45c3-a7f4-b0ae8b81b3f7' class='xr-section-summary-in' type='checkbox'  checked><label for='section-b2e38814-542f-45c3-a7f4-b0ae8b81b3f7' class='xr-section-summary' >Data variables: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>b01</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(305, 305), meta=np.ndarray&gt;</div><input id='attrs-e52a2c7a-7d64-466f-9aad-81eb2a3ce79d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e52a2c7a-7d64-466f-9aad-81eb2a3ce79d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f403c048-f3c0-4fe8-9b4e-ea900171cc82' class='xr-var-data-in' type='checkbox'><label for='data-f403c048-f3c0-4fe8-9b4e-ea900171cc82' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;add_offset&#x27;: -0.1, &#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;dtype&#x27;: &#x27;&lt;u2&#x27;, &#x27;fill_value&#x27;: 0, &#x27;long_name&#x27;: &#x27;TOA reflectance from MSI acquisition at spectral band b01 442.3 nm&#x27;, &#x27;scale_factor&#x27;: 0.0001, &#x27;units&#x27;: &#x27;digital_counts&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u2</dd><dt><span>fill_value :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>TOA reflectance from MSI acquisition at spectral band b01 442.3 nm</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 7890240.0, 609780.0, 8000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32625</dd><dt><span>proj:shape :</span></dt><dd>[1830, 1830]</dd><dt><span>proj:transform :</span></dt><dd>[60.0, 0.0, 499980.0, 0.0, -60.0, 8000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 25N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,-33],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32625&quot;]]</dd><dt><span>units :</span></dt><dd>digital_counts</dd><dt><span>valid_max :</span></dt><dd>65535</dd><dt><span>valid_min :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -15283,7 +15283,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b09</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(305, 305), meta=np.ndarray&gt;</div><input id='attrs-6705f282-5c40-4f90-82ea-b2637868220f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6705f282-5c40-4f90-82ea-b2637868220f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b0ca9c14-345a-490a-ba2d-0537cb85f0bd' class='xr-var-data-in' type='checkbox'><label for='data-b0ca9c14-345a-490a-ba2d-0537cb85f0bd' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;add_offset&#x27;: -0.1, &#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;fill_value&#x27;: 0, &#x27;scale_factor&#x27;: 0.0001, &#x27;units&#x27;: &#x27;digital_counts&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u2</dd><dt><span>fill_value :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>TOA reflectance from MSI acquisition at spectral band b09 943.2 nm</dd><dt><span>proj:bbox :</span></dt><dd>[300000.0, 4890240.0, 409800.0, 5000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32632</dd><dt><span>proj:shape :</span></dt><dd>[1830, 1830]</dd><dt><span>proj:transform :</span></dt><dd>[60.0, 0.0, 300000.0, 0.0, -60.0, 5000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 32N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,9],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32632&quot;]]</dd><dt><span>units :</span></dt><dd>digital_counts</dd><dt><span>valid_max :</span></dt><dd>65535</dd><dt><span>valid_min :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b09</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(305, 305), meta=np.ndarray&gt;</div><input id='attrs-b64fd4d9-b601-457b-9a27-6ee214e7ffcb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b64fd4d9-b601-457b-9a27-6ee214e7ffcb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e2a6041a-f29f-495f-b5d2-4fd5def89dad' class='xr-var-data-in' type='checkbox'><label for='data-e2a6041a-f29f-495f-b5d2-4fd5def89dad' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;add_offset&#x27;: -0.1, &#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;dtype&#x27;: &#x27;&lt;u2&#x27;, &#x27;fill_value&#x27;: 0, &#x27;long_name&#x27;: &#x27;TOA reflectance from MSI acquisition at spectral band b09 943.2 nm&#x27;, &#x27;scale_factor&#x27;: 0.0001, &#x27;units&#x27;: &#x27;digital_counts&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u2</dd><dt><span>fill_value :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>TOA reflectance from MSI acquisition at spectral band b09 943.2 nm</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 7890240.0, 609780.0, 8000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32625</dd><dt><span>proj:shape :</span></dt><dd>[1830, 1830]</dd><dt><span>proj:transform :</span></dt><dd>[60.0, 0.0, 499980.0, 0.0, -60.0, 8000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 25N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,-33],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32625&quot;]]</dd><dt><span>units :</span></dt><dd>digital_counts</dd><dt><span>valid_max :</span></dt><dd>65535</dd><dt><span>valid_min :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -15348,7 +15348,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b10</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(305, 305), meta=np.ndarray&gt;</div><input id='attrs-e059bd75-79be-4d83-8c72-859438f83f6b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e059bd75-79be-4d83-8c72-859438f83f6b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bc47c75e-ffc9-4e55-9137-3f5f20162bb8' class='xr-var-data-in' type='checkbox'><label for='data-bc47c75e-ffc9-4e55-9137-3f5f20162bb8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;add_offset&#x27;: -0.1, &#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;fill_value&#x27;: 0, &#x27;scale_factor&#x27;: 0.0001, &#x27;units&#x27;: &#x27;digital_counts&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u2</dd><dt><span>fill_value :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>TOA reflectance from MSI acquisition at spectral band b10 1376.9 nm</dd><dt><span>proj:bbox :</span></dt><dd>[300000.0, 4890240.0, 409800.0, 5000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32632</dd><dt><span>proj:shape :</span></dt><dd>[1830, 1830]</dd><dt><span>proj:transform :</span></dt><dd>[60.0, 0.0, 300000.0, 0.0, -60.0, 5000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 32N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,9],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32632&quot;]]</dd><dt><span>units :</span></dt><dd>digital_counts</dd><dt><span>valid_max :</span></dt><dd>65535</dd><dt><span>valid_min :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b10</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(305, 305), meta=np.ndarray&gt;</div><input id='attrs-eb17f05a-2b97-4a5a-8094-f3a4b3d3c624' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-eb17f05a-2b97-4a5a-8094-f3a4b3d3c624' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f80f0b56-ffcb-4646-a443-58a20e14276d' class='xr-var-data-in' type='checkbox'><label for='data-f80f0b56-ffcb-4646-a443-58a20e14276d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;add_offset&#x27;: -0.1, &#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;dtype&#x27;: &#x27;&lt;u2&#x27;, &#x27;fill_value&#x27;: 0, &#x27;long_name&#x27;: &#x27;TOA reflectance from MSI acquisition at spectral band b10 1376.9 nm&#x27;, &#x27;scale_factor&#x27;: 0.0001, &#x27;units&#x27;: &#x27;digital_counts&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u2</dd><dt><span>fill_value :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>TOA reflectance from MSI acquisition at spectral band b10 1376.9 nm</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 7890240.0, 609780.0, 8000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32625</dd><dt><span>proj:shape :</span></dt><dd>[1830, 1830]</dd><dt><span>proj:transform :</span></dt><dd>[60.0, 0.0, 499980.0, 0.0, -60.0, 8000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 25N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,-33],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32625&quot;]]</dd><dt><span>units :</span></dt><dd>digital_counts</dd><dt><span>valid_max :</span></dt><dd>65535</dd><dt><span>valid_min :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -15413,31 +15413,31 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-d9d5b0ee-cb75-46a6-9501-3f2f815037e4' class='xr-section-summary-in' type='checkbox'  ><label for='section-d9d5b0ee-cb75-46a6-9501-3f2f815037e4' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>x</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-a44edc71-ede2-4387-b46c-b55b052ed076' class='xr-index-data-in' type='checkbox'/><label for='index-a44edc71-ede2-4387-b46c-b55b052ed076' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([300030, 300090, 300150, 300210, 300270, 300330, 300390, 300450, 300510,\n",
-       "       300570,\n",
+       "</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-bdb4b09a-0283-4b85-87ae-23f1e36b5f5b' class='xr-section-summary-in' type='checkbox'  ><label for='section-bdb4b09a-0283-4b85-87ae-23f1e36b5f5b' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>x</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-87e55d7d-11e6-442f-b70b-38a5fce181b2' class='xr-index-data-in' type='checkbox'/><label for='index-87e55d7d-11e6-442f-b70b-38a5fce181b2' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([500010, 500070, 500130, 500190, 500250, 500310, 500370, 500430, 500490,\n",
+       "       500550,\n",
        "       ...\n",
-       "       409230, 409290, 409350, 409410, 409470, 409530, 409590, 409650, 409710,\n",
-       "       409770],\n",
-       "      dtype=&#x27;int64&#x27;, name=&#x27;x&#x27;, length=1830))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>y</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-a5381ed2-bef5-4186-8bfb-1cea2bed692e' class='xr-index-data-in' type='checkbox'/><label for='index-a5381ed2-bef5-4186-8bfb-1cea2bed692e' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([5000010, 4999950, 4999890, 4999830, 4999770, 4999710, 4999650, 4999590,\n",
-       "       4999530, 4999470,\n",
+       "       609210, 609270, 609330, 609390, 609450, 609510, 609570, 609630, 609690,\n",
+       "       609750],\n",
+       "      dtype=&#x27;int64&#x27;, name=&#x27;x&#x27;, length=1830))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>y</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-a5003e8d-4136-4e12-a143-648050e63c22' class='xr-index-data-in' type='checkbox'/><label for='index-a5003e8d-4136-4e12-a143-648050e63c22' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([8000010, 7999950, 7999890, 7999830, 7999770, 7999710, 7999650, 7999590,\n",
+       "       7999530, 7999470,\n",
        "       ...\n",
-       "       4890810, 4890750, 4890690, 4890630, 4890570, 4890510, 4890450, 4890390,\n",
-       "       4890330, 4890270],\n",
-       "      dtype=&#x27;int64&#x27;, name=&#x27;y&#x27;, length=1830))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-131063c5-bdc1-4887-aa25-25e994a2f156' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-131063c5-bdc1-4887-aa25-25e994a2f156' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
+       "       7890810, 7890750, 7890690, 7890630, 7890570, 7890510, 7890450, 7890390,\n",
+       "       7890330, 7890270],\n",
+       "      dtype=&#x27;int64&#x27;, name=&#x27;y&#x27;, length=1830))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-5868f419-95c5-4cd6-9092-0ea361056170' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-5868f419-95c5-4cd6-9092-0ea361056170' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
       ],
       "text/plain": [
        "<xarray.DatasetView> Size: 80MB\n",
        "Dimensions:  (y: 1830, x: 1830)\n",
        "Coordinates:\n",
-       "  * x        (x) int64 15kB 300030 300090 300150 300210 ... 409650 409710 409770\n",
-       "  * y        (y) int64 15kB 5000010 4999950 4999890 ... 4890390 4890330 4890270\n",
+       "  * x        (x) int64 15kB 500010 500070 500130 500190 ... 609630 609690 609750\n",
+       "  * y        (y) int64 15kB 8000010 7999950 7999890 ... 7890390 7890330 7890270\n",
        "Data variables:\n",
        "    b01      (y, x) float64 27MB dask.array<chunksize=(305, 305), meta=np.ndarray>\n",
        "    b09      (y, x) float64 27MB dask.array<chunksize=(305, 305), meta=np.ndarray>\n",
        "    b10      (y, x) float64 27MB dask.array<chunksize=(305, 305), meta=np.ndarray>"
       ]
      },
-     "execution_count": 16,
+     "execution_count": 6,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -15829,21 +15829,21 @@
        "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;b01&#x27; (y: 1830, x: 1830)&gt; Size: 27MB\n",
        "dask.array&lt;open_dataset-b01, shape=(1830, 1830), dtype=float64, chunksize=(305, 305), chunktype=numpy.ndarray&gt;\n",
        "Coordinates:\n",
-       "  * x        (x) int64 15kB 300030 300090 300150 300210 ... 409650 409710 409770\n",
-       "  * y        (y) int64 15kB 5000010 4999950 4999890 ... 4890390 4890330 4890270\n",
+       "  * x        (x) int64 15kB 500010 500070 500130 500190 ... 609630 609690 609750\n",
+       "  * y        (y) int64 15kB 8000010 7999950 7999890 ... 7890390 7890330 7890270\n",
        "Attributes:\n",
        "    _eopf_attrs:     {&#x27;add_offset&#x27;: -0.1, &#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensi...\n",
        "    dtype:           &lt;u2\n",
        "    fill_value:      0\n",
        "    long_name:       TOA reflectance from MSI acquisition at spectral band b0...\n",
-       "    proj:bbox:       [300000.0, 4890240.0, 409800.0, 5000040.0]\n",
-       "    proj:epsg:       32632\n",
+       "    proj:bbox:       [499980.0, 7890240.0, 609780.0, 8000040.0]\n",
+       "    proj:epsg:       32625\n",
        "    proj:shape:      [1830, 1830]\n",
-       "    proj:transform:  [60.0, 0.0, 300000.0, 0.0, -60.0, 5000040.0, 0.0, 0.0, 1.0]\n",
-       "    proj:wkt2:       PROJCS[&quot;WGS 84 / UTM zone 32N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WG...\n",
+       "    proj:transform:  [60.0, 0.0, 499980.0, 0.0, -60.0, 8000040.0, 0.0, 0.0, 1.0]\n",
+       "    proj:wkt2:       PROJCS[&quot;WGS 84 / UTM zone 25N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WG...\n",
        "    units:           digital_counts\n",
        "    valid_max:       65535\n",
-       "    valid_min:       1</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'b01'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>y</span>: 1830</li><li><span class='xr-has-index'>x</span>: 1830</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-409e469f-ca9e-425e-9549-21f753a4b8ff' class='xr-array-in' type='checkbox' checked><label for='section-409e469f-ca9e-425e-9549-21f753a4b8ff' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>dask.array&lt;chunksize=(305, 305), meta=np.ndarray&gt;</span></div><div class='xr-array-data'><table>\n",
+       "    valid_min:       1</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'b01'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>y</span>: 1830</li><li><span class='xr-has-index'>x</span>: 1830</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-0221ff0c-b0c2-4d2f-9193-56d5cd449701' class='xr-array-in' type='checkbox' checked><label for='section-0221ff0c-b0c2-4d2f-9193-56d5cd449701' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>dask.array&lt;chunksize=(305, 305), meta=np.ndarray&gt;</span></div><div class='xr-array-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -15908,35 +15908,35 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></div></li><li class='xr-section-item'><input id='section-1ad0231a-5c63-444a-abc0-a36592047363' class='xr-section-summary-in' type='checkbox'  checked><label for='section-1ad0231a-5c63-444a-abc0-a36592047363' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>300030 300090 ... 409710 409770</div><input id='attrs-a4716c6d-2cc9-44d2-bb69-f17389ed105f' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-a4716c6d-2cc9-44d2-bb69-f17389ed105f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b7bb1a0c-b791-4edc-8388-811cf157607b' class='xr-var-data-in' type='checkbox'><label for='data-b7bb1a0c-b791-4edc-8388-811cf157607b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([300030, 300090, 300150, ..., 409650, 409710, 409770], shape=(1830,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>5000010 4999950 ... 4890330 4890270</div><input id='attrs-c67efc49-d16c-4149-980f-330433f2ffc6' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-c67efc49-d16c-4149-980f-330433f2ffc6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fbc6d69f-da16-4d74-a91f-80a6a0079a90' class='xr-var-data-in' type='checkbox'><label for='data-fbc6d69f-da16-4d74-a91f-80a6a0079a90' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([5000010, 4999950, 4999890, ..., 4890390, 4890330, 4890270],\n",
-       "      shape=(1830,))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-4866f4f5-4178-4ec6-b10c-8cc22bd14037' class='xr-section-summary-in' type='checkbox'  ><label for='section-4866f4f5-4178-4ec6-b10c-8cc22bd14037' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>x</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-27848c12-5fdf-44c1-a7c8-61cd54345f76' class='xr-index-data-in' type='checkbox'/><label for='index-27848c12-5fdf-44c1-a7c8-61cd54345f76' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([300030, 300090, 300150, 300210, 300270, 300330, 300390, 300450, 300510,\n",
-       "       300570,\n",
+       "</table></div></div></li><li class='xr-section-item'><input id='section-09a321e6-0f3f-494d-9832-48972f0f4d4b' class='xr-section-summary-in' type='checkbox'  checked><label for='section-09a321e6-0f3f-494d-9832-48972f0f4d4b' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>500010 500070 ... 609690 609750</div><input id='attrs-fcefec3a-048a-41b8-8731-4600777f0f08' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-fcefec3a-048a-41b8-8731-4600777f0f08' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ee71362e-823b-4a0f-853e-6b8e27c97aed' class='xr-var-data-in' type='checkbox'><label for='data-ee71362e-823b-4a0f-853e-6b8e27c97aed' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([500010, 500070, 500130, ..., 609630, 609690, 609750], shape=(1830,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>8000010 7999950 ... 7890330 7890270</div><input id='attrs-b60eb42b-c81f-49e8-827b-d10dadb629ac' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-b60eb42b-c81f-49e8-827b-d10dadb629ac' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7b23288e-b056-456e-8df3-180fbd7b2041' class='xr-var-data-in' type='checkbox'><label for='data-7b23288e-b056-456e-8df3-180fbd7b2041' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([8000010, 7999950, 7999890, ..., 7890390, 7890330, 7890270],\n",
+       "      shape=(1830,))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-aaf1f3b1-9470-44f0-a841-2cc06db6ed4a' class='xr-section-summary-in' type='checkbox'  ><label for='section-aaf1f3b1-9470-44f0-a841-2cc06db6ed4a' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>x</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-4eed7586-29fd-4ea5-a1be-b39543bd4e7e' class='xr-index-data-in' type='checkbox'/><label for='index-4eed7586-29fd-4ea5-a1be-b39543bd4e7e' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([500010, 500070, 500130, 500190, 500250, 500310, 500370, 500430, 500490,\n",
+       "       500550,\n",
        "       ...\n",
-       "       409230, 409290, 409350, 409410, 409470, 409530, 409590, 409650, 409710,\n",
-       "       409770],\n",
-       "      dtype=&#x27;int64&#x27;, name=&#x27;x&#x27;, length=1830))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>y</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-04b2378f-5950-4c97-b7d5-9d79cec9a721' class='xr-index-data-in' type='checkbox'/><label for='index-04b2378f-5950-4c97-b7d5-9d79cec9a721' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([5000010, 4999950, 4999890, 4999830, 4999770, 4999710, 4999650, 4999590,\n",
-       "       4999530, 4999470,\n",
+       "       609210, 609270, 609330, 609390, 609450, 609510, 609570, 609630, 609690,\n",
+       "       609750],\n",
+       "      dtype=&#x27;int64&#x27;, name=&#x27;x&#x27;, length=1830))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>y</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-32370bd8-5e90-4aa3-aea6-cbad0539efe1' class='xr-index-data-in' type='checkbox'/><label for='index-32370bd8-5e90-4aa3-aea6-cbad0539efe1' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([8000010, 7999950, 7999890, 7999830, 7999770, 7999710, 7999650, 7999590,\n",
+       "       7999530, 7999470,\n",
        "       ...\n",
-       "       4890810, 4890750, 4890690, 4890630, 4890570, 4890510, 4890450, 4890390,\n",
-       "       4890330, 4890270],\n",
-       "      dtype=&#x27;int64&#x27;, name=&#x27;y&#x27;, length=1830))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-5c5ae931-09cf-46c4-a637-38d607486ef6' class='xr-section-summary-in' type='checkbox'  ><label for='section-5c5ae931-09cf-46c4-a637-38d607486ef6' class='xr-section-summary' >Attributes: <span>(12)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;add_offset&#x27;: -0.1, &#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;fill_value&#x27;: 0, &#x27;scale_factor&#x27;: 0.0001, &#x27;units&#x27;: &#x27;digital_counts&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u2</dd><dt><span>fill_value :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>TOA reflectance from MSI acquisition at spectral band b01 442.3 nm</dd><dt><span>proj:bbox :</span></dt><dd>[300000.0, 4890240.0, 409800.0, 5000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32632</dd><dt><span>proj:shape :</span></dt><dd>[1830, 1830]</dd><dt><span>proj:transform :</span></dt><dd>[60.0, 0.0, 300000.0, 0.0, -60.0, 5000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 32N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,9],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32632&quot;]]</dd><dt><span>units :</span></dt><dd>digital_counts</dd><dt><span>valid_max :</span></dt><dd>65535</dd><dt><span>valid_min :</span></dt><dd>1</dd></dl></div></li></ul></div></div>"
+       "       7890810, 7890750, 7890690, 7890630, 7890570, 7890510, 7890450, 7890390,\n",
+       "       7890330, 7890270],\n",
+       "      dtype=&#x27;int64&#x27;, name=&#x27;y&#x27;, length=1830))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-b51a379e-956d-45ec-b7c4-7ff7c230c4f8' class='xr-section-summary-in' type='checkbox'  ><label for='section-b51a379e-956d-45ec-b7c4-7ff7c230c4f8' class='xr-section-summary' >Attributes: <span>(12)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;add_offset&#x27;: -0.1, &#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;dtype&#x27;: &#x27;&lt;u2&#x27;, &#x27;fill_value&#x27;: 0, &#x27;long_name&#x27;: &#x27;TOA reflectance from MSI acquisition at spectral band b01 442.3 nm&#x27;, &#x27;scale_factor&#x27;: 0.0001, &#x27;units&#x27;: &#x27;digital_counts&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u2</dd><dt><span>fill_value :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>TOA reflectance from MSI acquisition at spectral band b01 442.3 nm</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 7890240.0, 609780.0, 8000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32625</dd><dt><span>proj:shape :</span></dt><dd>[1830, 1830]</dd><dt><span>proj:transform :</span></dt><dd>[60.0, 0.0, 499980.0, 0.0, -60.0, 8000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 25N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,-33],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32625&quot;]]</dd><dt><span>units :</span></dt><dd>digital_counts</dd><dt><span>valid_max :</span></dt><dd>65535</dd><dt><span>valid_min :</span></dt><dd>1</dd></dl></div></li></ul></div></div>"
       ],
       "text/plain": [
        "<xarray.DataArray 'b01' (y: 1830, x: 1830)> Size: 27MB\n",
        "dask.array<open_dataset-b01, shape=(1830, 1830), dtype=float64, chunksize=(305, 305), chunktype=numpy.ndarray>\n",
        "Coordinates:\n",
-       "  * x        (x) int64 15kB 300030 300090 300150 300210 ... 409650 409710 409770\n",
-       "  * y        (y) int64 15kB 5000010 4999950 4999890 ... 4890390 4890330 4890270\n",
+       "  * x        (x) int64 15kB 500010 500070 500130 500190 ... 609630 609690 609750\n",
+       "  * y        (y) int64 15kB 8000010 7999950 7999890 ... 7890390 7890330 7890270\n",
        "Attributes:\n",
        "    _eopf_attrs:     {'add_offset': -0.1, 'coordinates': ['x', 'y'], 'dimensi...\n",
        "    dtype:           <u2\n",
        "    fill_value:      0\n",
        "    long_name:       TOA reflectance from MSI acquisition at spectral band b0...\n",
-       "    proj:bbox:       [300000.0, 4890240.0, 409800.0, 5000040.0]\n",
-       "    proj:epsg:       32632\n",
+       "    proj:bbox:       [499980.0, 7890240.0, 609780.0, 8000040.0]\n",
+       "    proj:epsg:       32625\n",
        "    proj:shape:      [1830, 1830]\n",
-       "    proj:transform:  [60.0, 0.0, 300000.0, 0.0, -60.0, 5000040.0, 0.0, 0.0, 1.0]\n",
-       "    proj:wkt2:       PROJCS[\"WGS 84 / UTM zone 32N\",GEOGCS[\"WGS 84\",DATUM[\"WG...\n",
+       "    proj:transform:  [60.0, 0.0, 499980.0, 0.0, -60.0, 8000040.0, 0.0, 0.0, 1.0]\n",
+       "    proj:wkt2:       PROJCS[\"WGS 84 / UTM zone 25N\",GEOGCS[\"WGS 84\",DATUM[\"WG...\n",
        "    units:           digital_counts\n",
        "    valid_max:       65535\n",
        "    valid_min:       1"
@@ -15960,7 +15960,7 @@
     {
      "data": {
       "text/plain": [
-       "<matplotlib.collections.QuadMesh at 0x22821984590>"
+       "<matplotlib.collections.QuadMesh at 0x1fd36c681a0>"
       ]
      },
      "execution_count": 8,
@@ -15969,7 +15969,7 @@
     },
     {
      "data": {
-      "image/png": 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",
+      "image/png": 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",
       "text/plain": [
        "<Figure size 640x480 with 2 Axes>"
       ]
@@ -15984,7 +15984,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 25,
+   "execution_count": 9,
    "id": "40f71777-b45f-4bf1-8b2d-7b1c84b9c626",
    "metadata": {},
    "outputs": [
@@ -16361,7 +16361,7 @@
        "  stroke: currentColor;\n",
        "  fill: currentColor;\n",
        "}\n",
-       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt; Size: 9GB\n",
+       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt; Size: 7GB\n",
        "Dimensions:                                            (\n",
        "                                                        conditions_geometry_angle: 2,\n",
        "                                                        conditions_geometry_band: 13,\n",
@@ -16369,13 +16369,13 @@
        "                                                        conditions_geometry_x: 23,\n",
        "                                                        conditions_geometry_detector: 7,\n",
        "                                                        ...\n",
+       "                                                        quality_mask_r10m_y: 10980,\n",
+       "                                                        quality_mask_r10m_x: 10980,\n",
        "                                                        quality_mask_r20m_y: 5490,\n",
        "                                                        quality_mask_r20m_x: 5490,\n",
        "                                                        quality_mask_r60m_y: 1830,\n",
-       "                                                        quality_mask_r60m_x: 1830,\n",
-       "                                                        quality_probability_y: 5490,\n",
-       "                                                        quality_probability_x: 5490)\n",
-       "Coordinates: (12/63)\n",
+       "                                                        quality_mask_r60m_x: 1830)\n",
+       "Coordinates: (12/44)\n",
        "  * conditions_geometry_angle                          (conditions_geometry_angle) &lt;U7 56B ...\n",
        "  * conditions_geometry_band                           (conditions_geometry_band) &lt;U3 156B ...\n",
        "  * conditions_geometry_detector                       (conditions_geometry_detector) int64 56B ...\n",
@@ -16383,53 +16383,48 @@
        "  * conditions_geometry_y                              (conditions_geometry_y) int64 184B ...\n",
        "  * conditions_mask_detector_footprint_r10m_x          (conditions_mask_detector_footprint_r10m_x) int64 88kB ...\n",
        "    ...                                                 ...\n",
+       "  * quality_mask_r10m_x                                (quality_mask_r10m_x) int64 88kB ...\n",
+       "  * quality_mask_r10m_y                                (quality_mask_r10m_y) int64 88kB ...\n",
+       "  * quality_mask_r20m_x                                (quality_mask_r20m_x) int64 44kB ...\n",
        "  * quality_mask_r20m_y                                (quality_mask_r20m_y) int64 44kB ...\n",
        "  * quality_mask_r60m_x                                (quality_mask_r60m_x) int64 15kB ...\n",
        "  * quality_mask_r60m_y                                (quality_mask_r60m_y) int64 15kB ...\n",
-       "    quality_probability_band                           int64 8B ...\n",
-       "  * quality_probability_x                              (quality_probability_x) int64 44kB ...\n",
-       "  * quality_probability_y                              (quality_probability_y) int64 44kB ...\n",
-       "Data variables: (12/86)\n",
+       "Data variables: (12/62)\n",
        "    conditions_geometry_mean_sun_angles                (conditions_geometry_angle) float64 16B dask.array&lt;chunksize=(2,), meta=np.ndarray&gt;\n",
        "    conditions_geometry_mean_viewing_incidence_angles  (conditions_geometry_band, conditions_geometry_angle) float64 208B dask.array&lt;chunksize=(13, 2), meta=np.ndarray&gt;\n",
        "    conditions_geometry_sun_angles                     (conditions_geometry_angle, conditions_geometry_y, conditions_geometry_x) float64 8kB dask.array&lt;chunksize=(2, 23, 23), meta=np.ndarray&gt;\n",
-       "    conditions_geometry_viewing_incidence_angles       (conditions_geometry_band, conditions_geometry_detector, conditions_geometry_angle, conditions_geometry_y, conditions_geometry_x) float64 770kB dask.array&lt;chunksize=(13, 7, 2, 23, 23), meta=np.ndarray&gt;\n",
-       "    conditions_mask_detector_footprint_r10m_b02        (conditions_mask_detector_footprint_r10m_y, conditions_mask_detector_footprint_r10m_x) uint8 121MB dask.array&lt;chunksize=(10980, 10980), meta=np.ndarray&gt;\n",
-       "    conditions_mask_detector_footprint_r10m_b03        (conditions_mask_detector_footprint_r10m_y, conditions_mask_detector_footprint_r10m_x) uint8 121MB dask.array&lt;chunksize=(10980, 10980), meta=np.ndarray&gt;\n",
+       "    conditions_geometry_viewing_incidence_angles       (conditions_geometry_band, conditions_geometry_detector, conditions_geometry_angle, conditions_geometry_y, conditions_geometry_x) float64 770kB dask.array&lt;chunksize=(7, 4, 2, 23, 23), meta=np.ndarray&gt;\n",
+       "    conditions_mask_detector_footprint_r10m_b02        (conditions_mask_detector_footprint_r10m_y, conditions_mask_detector_footprint_r10m_x) uint8 121MB dask.array&lt;chunksize=(1830, 1830), meta=np.ndarray&gt;\n",
+       "    conditions_mask_detector_footprint_r10m_b03        (conditions_mask_detector_footprint_r10m_y, conditions_mask_detector_footprint_r10m_x) uint8 121MB dask.array&lt;chunksize=(1830, 1830), meta=np.ndarray&gt;\n",
        "    ...                                                 ...\n",
-       "    quality_mask_r20m_b8a                              (quality_mask_r20m_y, quality_mask_r20m_x) uint8 30MB dask.array&lt;chunksize=(5490, 5490), meta=np.ndarray&gt;\n",
-       "    quality_mask_r60m_b01                              (quality_mask_r60m_y, quality_mask_r60m_x) uint8 3MB dask.array&lt;chunksize=(1830, 1830), meta=np.ndarray&gt;\n",
-       "    quality_mask_r60m_b09                              (quality_mask_r60m_y, quality_mask_r60m_x) uint8 3MB dask.array&lt;chunksize=(1830, 1830), meta=np.ndarray&gt;\n",
-       "    quality_mask_r60m_b10                              (quality_mask_r60m_y, quality_mask_r60m_x) uint8 3MB dask.array&lt;chunksize=(1830, 1830), meta=np.ndarray&gt;\n",
-       "    quality_probability_cld                            (quality_probability_y, quality_probability_x) uint8 30MB dask.array&lt;chunksize=(5490, 5490), meta=np.ndarray&gt;\n",
-       "    quality_probability_snw                            (quality_probability_y, quality_probability_x) uint8 30MB dask.array&lt;chunksize=(5490, 5490), meta=np.ndarray&gt;\n",
+       "    quality_mask_r20m_b11                              (quality_mask_r20m_y, quality_mask_r20m_x) uint8 30MB dask.array&lt;chunksize=(915, 915), meta=np.ndarray&gt;\n",
+       "    quality_mask_r20m_b12                              (quality_mask_r20m_y, quality_mask_r20m_x) uint8 30MB dask.array&lt;chunksize=(915, 915), meta=np.ndarray&gt;\n",
+       "    quality_mask_r20m_b8a                              (quality_mask_r20m_y, quality_mask_r20m_x) uint8 30MB dask.array&lt;chunksize=(915, 915), meta=np.ndarray&gt;\n",
+       "    quality_mask_r60m_b01                              (quality_mask_r60m_y, quality_mask_r60m_x) uint8 3MB dask.array&lt;chunksize=(305, 305), meta=np.ndarray&gt;\n",
+       "    quality_mask_r60m_b09                              (quality_mask_r60m_y, quality_mask_r60m_x) uint8 3MB dask.array&lt;chunksize=(305, 305), meta=np.ndarray&gt;\n",
+       "    quality_mask_r60m_b10                              (quality_mask_r60m_y, quality_mask_r60m_x) uint8 3MB dask.array&lt;chunksize=(305, 305), meta=np.ndarray&gt;\n",
        "Attributes:\n",
-       "    other_metadata:  {&#x27;AOT_retrieval_model&#x27;: &#x27;CAMS&#x27;, &#x27;L0_ancillary_data_quali...\n",
-       "    stac_discovery:  {&#x27;assets&#x27;: {&#x27;analytic&#x27;: {&#x27;eo:bands&#x27;: [{&#x27;center_wavelengt...</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-4a91fecf-6a01-4253-9e13-44295d365b2b' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-4a91fecf-6a01-4253-9e13-44295d365b2b' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>conditions_geometry_angle</span>: 2</li><li><span class='xr-has-index'>conditions_geometry_band</span>: 13</li><li><span class='xr-has-index'>conditions_geometry_y</span>: 23</li><li><span class='xr-has-index'>conditions_geometry_x</span>: 23</li><li><span class='xr-has-index'>conditions_geometry_detector</span>: 7</li><li><span class='xr-has-index'>conditions_mask_detector_footprint_r10m_y</span>: 10980</li><li><span class='xr-has-index'>conditions_mask_detector_footprint_r10m_x</span>: 10980</li><li><span class='xr-has-index'>conditions_mask_detector_footprint_r20m_y</span>: 5490</li><li><span class='xr-has-index'>conditions_mask_detector_footprint_r20m_x</span>: 5490</li><li><span class='xr-has-index'>conditions_mask_detector_footprint_r60m_y</span>: 1830</li><li><span class='xr-has-index'>conditions_mask_detector_footprint_r60m_x</span>: 1830</li><li><span class='xr-has-index'>conditions_mask_l1c_classification_y</span>: 1830</li><li><span class='xr-has-index'>conditions_mask_l1c_classification_x</span>: 1830</li><li><span class='xr-has-index'>conditions_mask_l2a_classification_r20m_y</span>: 5490</li><li><span class='xr-has-index'>conditions_mask_l2a_classification_r20m_x</span>: 5490</li><li><span class='xr-has-index'>conditions_mask_l2a_classification_r60m_y</span>: 1830</li><li><span class='xr-has-index'>conditions_mask_l2a_classification_r60m_x</span>: 1830</li><li><span class='xr-has-index'>conditions_meteorology_cams_latitude</span>: 9</li><li><span class='xr-has-index'>conditions_meteorology_cams_longitude</span>: 9</li><li><span class='xr-has-index'>conditions_meteorology_ecmwf_latitude</span>: 9</li><li><span class='xr-has-index'>conditions_meteorology_ecmwf_longitude</span>: 9</li><li><span class='xr-has-index'>measurements_r10m_y</span>: 10980</li><li><span class='xr-has-index'>measurements_r10m_x</span>: 10980</li><li><span class='xr-has-index'>measurements_r20m_y</span>: 5490</li><li><span class='xr-has-index'>measurements_r20m_x</span>: 5490</li><li><span class='xr-has-index'>measurements_r60m_y</span>: 1830</li><li><span class='xr-has-index'>measurements_r60m_x</span>: 1830</li><li><span class='xr-has-index'>quality_atmosphere_r10m_y</span>: 10980</li><li><span class='xr-has-index'>quality_atmosphere_r10m_x</span>: 10980</li><li><span class='xr-has-index'>quality_atmosphere_r20m_y</span>: 5490</li><li><span class='xr-has-index'>quality_atmosphere_r20m_x</span>: 5490</li><li><span class='xr-has-index'>quality_atmosphere_r60m_y</span>: 1830</li><li><span class='xr-has-index'>quality_atmosphere_r60m_x</span>: 1830</li><li><span class='xr-has-index'>quality_l2a_quicklook_r10m_band</span>: 3</li><li><span class='xr-has-index'>quality_l2a_quicklook_r10m_y</span>: 10980</li><li><span class='xr-has-index'>quality_l2a_quicklook_r10m_x</span>: 10980</li><li><span class='xr-has-index'>quality_l2a_quicklook_r20m_band</span>: 3</li><li><span class='xr-has-index'>quality_l2a_quicklook_r20m_y</span>: 5490</li><li><span class='xr-has-index'>quality_l2a_quicklook_r20m_x</span>: 5490</li><li><span class='xr-has-index'>quality_l2a_quicklook_r60m_band</span>: 3</li><li><span class='xr-has-index'>quality_l2a_quicklook_r60m_y</span>: 1830</li><li><span class='xr-has-index'>quality_l2a_quicklook_r60m_x</span>: 1830</li><li><span class='xr-has-index'>quality_mask_r10m_y</span>: 10980</li><li><span class='xr-has-index'>quality_mask_r10m_x</span>: 10980</li><li><span class='xr-has-index'>quality_mask_r20m_y</span>: 5490</li><li><span class='xr-has-index'>quality_mask_r20m_x</span>: 5490</li><li><span class='xr-has-index'>quality_mask_r60m_y</span>: 1830</li><li><span class='xr-has-index'>quality_mask_r60m_x</span>: 1830</li><li><span class='xr-has-index'>quality_probability_y</span>: 5490</li><li><span class='xr-has-index'>quality_probability_x</span>: 5490</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-3ae471d7-bf22-4e29-87fb-d36d336c18cd' class='xr-section-summary-in' type='checkbox'  ><label for='section-3ae471d7-bf22-4e29-87fb-d36d336c18cd' class='xr-section-summary' >Coordinates: <span>(63)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>conditions_geometry_angle</span></div><div class='xr-var-dims'>(conditions_geometry_angle)</div><div class='xr-var-dtype'>&lt;U7</div><div class='xr-var-preview xr-preview'>&#x27;zenith&#x27; &#x27;azimuth&#x27;</div><input id='attrs-d4df6923-ae84-4484-be44-f2abdd804113' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-d4df6923-ae84-4484-be44-f2abdd804113' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fe0ff3aa-3b90-4c45-bf4f-df60f5d537f1' class='xr-var-data-in' type='checkbox'><label for='data-fe0ff3aa-3b90-4c45-bf4f-df60f5d537f1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;zenith&#x27;, &#x27;azimuth&#x27;], dtype=&#x27;&lt;U7&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>conditions_geometry_band</span></div><div class='xr-var-dims'>(conditions_geometry_band)</div><div class='xr-var-dtype'>&lt;U3</div><div class='xr-var-preview xr-preview'>&#x27;b01&#x27; &#x27;b02&#x27; &#x27;b03&#x27; ... &#x27;b11&#x27; &#x27;b12&#x27;</div><input id='attrs-c6c59b22-4a4a-467a-add2-e91c2e58600c' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-c6c59b22-4a4a-467a-add2-e91c2e58600c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-95161f40-5465-456c-922c-aacc189ee72c' class='xr-var-data-in' type='checkbox'><label for='data-95161f40-5465-456c-922c-aacc189ee72c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;b01&#x27;, &#x27;b02&#x27;, &#x27;b03&#x27;, &#x27;b04&#x27;, &#x27;b05&#x27;, &#x27;b06&#x27;, &#x27;b07&#x27;, &#x27;b08&#x27;, &#x27;b8a&#x27;, &#x27;b09&#x27;,\n",
-       "       &#x27;b10&#x27;, &#x27;b11&#x27;, &#x27;b12&#x27;], dtype=&#x27;&lt;U3&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>conditions_geometry_detector</span></div><div class='xr-var-dims'>(conditions_geometry_detector)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>3 4 5 6 7 8 9</div><input id='attrs-15a3b98c-5145-4761-a62b-6b7ee2fd4fdd' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-15a3b98c-5145-4761-a62b-6b7ee2fd4fdd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d21971f9-d069-465b-a474-84699e7c788d' class='xr-var-data-in' type='checkbox'><label for='data-d21971f9-d069-465b-a474-84699e7c788d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([3, 4, 5, 6, 7, 8, 9])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>conditions_geometry_x</span></div><div class='xr-var-dims'>(conditions_geometry_x)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>499980 504980 ... 604980 609980</div><input id='attrs-8d7e7677-1e3d-4aa4-a8b3-00666957b0c3' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-8d7e7677-1e3d-4aa4-a8b3-00666957b0c3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9eacb453-1320-4147-b273-bae995ef42c2' class='xr-var-data-in' type='checkbox'><label for='data-9eacb453-1320-4147-b273-bae995ef42c2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([499980, 504980, 509980, 514980, 519980, 524980, 529980, 534980, 539980,\n",
+       "    other_metadata:   {&#x27;L0_ancillary_data_quality&#x27;: &#x27;null&#x27;, &#x27;L0_ephemeris_dat...\n",
+       "    other_metadata4:  {&#x27;L0_ancillary_data_quality&#x27;: &#x27;null&#x27;, &#x27;L0_ephemeris_dat...\n",
+       "    stac_discovery:   {&#x27;assets&#x27;: {&#x27;analytic&#x27;: {&#x27;eo:bands&#x27;: [{&#x27;center_waveleng...</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-6280bba9-3205-4ac8-86fd-87b09a9f0c7e' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-6280bba9-3205-4ac8-86fd-87b09a9f0c7e' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>conditions_geometry_angle</span>: 2</li><li><span class='xr-has-index'>conditions_geometry_band</span>: 13</li><li><span class='xr-has-index'>conditions_geometry_y</span>: 23</li><li><span class='xr-has-index'>conditions_geometry_x</span>: 23</li><li><span class='xr-has-index'>conditions_geometry_detector</span>: 7</li><li><span class='xr-has-index'>conditions_mask_detector_footprint_r10m_y</span>: 10980</li><li><span class='xr-has-index'>conditions_mask_detector_footprint_r10m_x</span>: 10980</li><li><span class='xr-has-index'>conditions_mask_detector_footprint_r20m_y</span>: 5490</li><li><span class='xr-has-index'>conditions_mask_detector_footprint_r20m_x</span>: 5490</li><li><span class='xr-has-index'>conditions_mask_detector_footprint_r60m_y</span>: 1830</li><li><span class='xr-has-index'>conditions_mask_detector_footprint_r60m_x</span>: 1830</li><li><span class='xr-has-index'>conditions_mask_l1c_classification_y</span>: 1830</li><li><span class='xr-has-index'>conditions_mask_l1c_classification_x</span>: 1830</li><li><span class='xr-has-index'>conditions_meteorology_cams_latitude</span>: 9</li><li><span class='xr-has-index'>conditions_meteorology_cams_longitude</span>: 9</li><li><span class='xr-has-index'>conditions_meteorology_ecmwf_latitude</span>: 9</li><li><span class='xr-has-index'>conditions_meteorology_ecmwf_longitude</span>: 9</li><li><span class='xr-has-index'>measurements_r10m_y</span>: 10980</li><li><span class='xr-has-index'>measurements_r10m_x</span>: 10980</li><li><span class='xr-has-index'>measurements_r20m_y</span>: 5490</li><li><span class='xr-has-index'>measurements_r20m_x</span>: 5490</li><li><span class='xr-has-index'>measurements_r60m_y</span>: 1830</li><li><span class='xr-has-index'>measurements_r60m_x</span>: 1830</li><li><span class='xr-has-index'>quality_l1c_quicklook_band</span>: 3</li><li><span class='xr-has-index'>quality_l1c_quicklook_y</span>: 10980</li><li><span class='xr-has-index'>quality_l1c_quicklook_x</span>: 10980</li><li><span class='xr-has-index'>quality_mask_r10m_y</span>: 10980</li><li><span class='xr-has-index'>quality_mask_r10m_x</span>: 10980</li><li><span class='xr-has-index'>quality_mask_r20m_y</span>: 5490</li><li><span class='xr-has-index'>quality_mask_r20m_x</span>: 5490</li><li><span class='xr-has-index'>quality_mask_r60m_y</span>: 1830</li><li><span class='xr-has-index'>quality_mask_r60m_x</span>: 1830</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-f46c9eaa-6256-46e6-8be9-34b587a89f21' class='xr-section-summary-in' type='checkbox'  ><label for='section-f46c9eaa-6256-46e6-8be9-34b587a89f21' class='xr-section-summary' >Coordinates: <span>(44)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>conditions_geometry_angle</span></div><div class='xr-var-dims'>(conditions_geometry_angle)</div><div class='xr-var-dtype'>&lt;U7</div><div class='xr-var-preview xr-preview'>&#x27;zenith&#x27; &#x27;azimuth&#x27;</div><input id='attrs-beeba232-9952-4148-a4a2-62562b0795fc' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-beeba232-9952-4148-a4a2-62562b0795fc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-768bf7fd-3612-4c73-8f85-d7e401634775' class='xr-var-data-in' type='checkbox'><label for='data-768bf7fd-3612-4c73-8f85-d7e401634775' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;zenith&#x27;, &#x27;azimuth&#x27;], dtype=&#x27;&lt;U7&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>conditions_geometry_band</span></div><div class='xr-var-dims'>(conditions_geometry_band)</div><div class='xr-var-dtype'>&lt;U3</div><div class='xr-var-preview xr-preview'>&#x27;b01&#x27; &#x27;b02&#x27; &#x27;b03&#x27; ... &#x27;b11&#x27; &#x27;b12&#x27;</div><input id='attrs-e115974a-72ae-4787-a2e0-233a51b3025a' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-e115974a-72ae-4787-a2e0-233a51b3025a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-695f7d4f-6084-4486-9388-16b9a7ec258c' class='xr-var-data-in' type='checkbox'><label for='data-695f7d4f-6084-4486-9388-16b9a7ec258c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;b01&#x27;, &#x27;b02&#x27;, &#x27;b03&#x27;, &#x27;b04&#x27;, &#x27;b05&#x27;, &#x27;b06&#x27;, &#x27;b07&#x27;, &#x27;b08&#x27;, &#x27;b8a&#x27;, &#x27;b09&#x27;,\n",
+       "       &#x27;b10&#x27;, &#x27;b11&#x27;, &#x27;b12&#x27;], dtype=&#x27;&lt;U3&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>conditions_geometry_detector</span></div><div class='xr-var-dims'>(conditions_geometry_detector)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>6 7 8 9 10 11 12</div><input id='attrs-1a97eb03-2756-466c-8a06-e6403949b4c4' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-1a97eb03-2756-466c-8a06-e6403949b4c4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-19195d99-97de-42d8-9eda-80976b882c97' class='xr-var-data-in' type='checkbox'><label for='data-19195d99-97de-42d8-9eda-80976b882c97' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([ 6,  7,  8,  9, 10, 11, 12])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>conditions_geometry_x</span></div><div class='xr-var-dims'>(conditions_geometry_x)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>499980 504980 ... 604980 609980</div><input id='attrs-fb4769bd-7802-470d-b1ff-7681973787db' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-fb4769bd-7802-470d-b1ff-7681973787db' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-222cdbe7-193b-47f9-8fe9-0de682728e44' class='xr-var-data-in' type='checkbox'><label for='data-222cdbe7-193b-47f9-8fe9-0de682728e44' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([499980, 504980, 509980, 514980, 519980, 524980, 529980, 534980, 539980,\n",
        "       544980, 549980, 554980, 559980, 564980, 569980, 574980, 579980, 584980,\n",
-       "       589980, 594980, 599980, 604980, 609980])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>conditions_geometry_y</span></div><div class='xr-var-dims'>(conditions_geometry_y)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>5300040 5295040 ... 5195040 5190040</div><input id='attrs-0cbacaf2-8622-4bff-a749-087e9d73ba1f' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-0cbacaf2-8622-4bff-a749-087e9d73ba1f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-221af6de-ee73-41c0-8798-5b707f20aee3' class='xr-var-data-in' type='checkbox'><label for='data-221af6de-ee73-41c0-8798-5b707f20aee3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([5300040, 5295040, 5290040, 5285040, 5280040, 5275040, 5270040, 5265040,\n",
-       "       5260040, 5255040, 5250040, 5245040, 5240040, 5235040, 5230040, 5225040,\n",
-       "       5220040, 5215040, 5210040, 5205040, 5200040, 5195040, 5190040])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>conditions_mask_detector_footprint_r10m_x</span></div><div class='xr-var-dims'>(conditions_mask_detector_footprint_r10m_x)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>499985 499995 ... 609765 609775</div><input id='attrs-b65d7843-7f0d-43b9-8baa-7df711e3c0ca' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-b65d7843-7f0d-43b9-8baa-7df711e3c0ca' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cab020c2-535b-4e45-ba6d-5162f5951c6b' class='xr-var-data-in' type='checkbox'><label for='data-cab020c2-535b-4e45-ba6d-5162f5951c6b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([499985, 499995, 500005, ..., 609755, 609765, 609775], shape=(10980,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>conditions_mask_detector_footprint_r10m_y</span></div><div class='xr-var-dims'>(conditions_mask_detector_footprint_r10m_y)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>5300035 5300025 ... 5190255 5190245</div><input id='attrs-2cda962d-b38c-474e-b03e-75944e639681' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-2cda962d-b38c-474e-b03e-75944e639681' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-656f3f53-dadd-4759-a998-56f226b4b871' class='xr-var-data-in' type='checkbox'><label for='data-656f3f53-dadd-4759-a998-56f226b4b871' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([5300035, 5300025, 5300015, ..., 5190265, 5190255, 5190245],\n",
-       "      shape=(10980,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>conditions_mask_detector_footprint_r20m_x</span></div><div class='xr-var-dims'>(conditions_mask_detector_footprint_r20m_x)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>499990 500010 ... 609750 609770</div><input id='attrs-f8013d95-54b4-4aa5-86bb-f48a0fe2eecf' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-f8013d95-54b4-4aa5-86bb-f48a0fe2eecf' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d50c9e18-5221-4dc1-9f51-2074612ada43' class='xr-var-data-in' type='checkbox'><label for='data-d50c9e18-5221-4dc1-9f51-2074612ada43' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([499990, 500010, 500030, ..., 609730, 609750, 609770], shape=(5490,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>conditions_mask_detector_footprint_r20m_y</span></div><div class='xr-var-dims'>(conditions_mask_detector_footprint_r20m_y)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>5300030 5300010 ... 5190270 5190250</div><input id='attrs-f1c17283-4046-4cf4-9300-ab9dc82332c1' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-f1c17283-4046-4cf4-9300-ab9dc82332c1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-011e5c95-9b2f-4643-9e15-f3839ea4e039' class='xr-var-data-in' type='checkbox'><label for='data-011e5c95-9b2f-4643-9e15-f3839ea4e039' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([5300030, 5300010, 5299990, ..., 5190290, 5190270, 5190250],\n",
-       "      shape=(5490,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>conditions_mask_detector_footprint_r60m_x</span></div><div class='xr-var-dims'>(conditions_mask_detector_footprint_r60m_x)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>500010 500070 ... 609690 609750</div><input id='attrs-8d49fe00-cdd8-4cf0-834e-b33a26b8dee1' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-8d49fe00-cdd8-4cf0-834e-b33a26b8dee1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-85532eac-138c-4a1f-b973-e5264b611472' class='xr-var-data-in' type='checkbox'><label for='data-85532eac-138c-4a1f-b973-e5264b611472' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([500010, 500070, 500130, ..., 609630, 609690, 609750], shape=(1830,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>conditions_mask_detector_footprint_r60m_y</span></div><div class='xr-var-dims'>(conditions_mask_detector_footprint_r60m_y)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>5300010 5299950 ... 5190330 5190270</div><input id='attrs-5c023c7e-994d-4cbe-89a4-030f77c1b868' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-5c023c7e-994d-4cbe-89a4-030f77c1b868' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c102e17b-48d8-4e66-84da-c92949d1adbf' class='xr-var-data-in' type='checkbox'><label for='data-c102e17b-48d8-4e66-84da-c92949d1adbf' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([5300010, 5299950, 5299890, ..., 5190390, 5190330, 5190270],\n",
-       "      shape=(1830,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>conditions_mask_l1c_classification_x</span></div><div class='xr-var-dims'>(conditions_mask_l1c_classification_x)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>500010 500070 ... 609690 609750</div><input id='attrs-21095f21-55c5-4f94-90cb-fab1362e2988' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-21095f21-55c5-4f94-90cb-fab1362e2988' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fb5fd74a-e4ac-426b-8449-977ccd67856b' class='xr-var-data-in' type='checkbox'><label for='data-fb5fd74a-e4ac-426b-8449-977ccd67856b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([500010, 500070, 500130, ..., 609630, 609690, 609750], shape=(1830,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>conditions_mask_l1c_classification_y</span></div><div class='xr-var-dims'>(conditions_mask_l1c_classification_y)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>5300010 5299950 ... 5190330 5190270</div><input id='attrs-ceea418b-812f-4e55-807b-880f35474b76' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-ceea418b-812f-4e55-807b-880f35474b76' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a9fe52f7-c058-4136-8258-97af8bf78a56' class='xr-var-data-in' type='checkbox'><label for='data-a9fe52f7-c058-4136-8258-97af8bf78a56' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([5300010, 5299950, 5299890, ..., 5190390, 5190330, 5190270],\n",
-       "      shape=(1830,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>conditions_mask_l2a_classification_r20m_x</span></div><div class='xr-var-dims'>(conditions_mask_l2a_classification_r20m_x)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>499990 500010 ... 609750 609770</div><input id='attrs-aef19162-e283-4311-ae39-f74b4e449218' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-aef19162-e283-4311-ae39-f74b4e449218' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d36253cf-1ac5-4fa3-96c8-d33933d77280' class='xr-var-data-in' type='checkbox'><label for='data-d36253cf-1ac5-4fa3-96c8-d33933d77280' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([499990, 500010, 500030, ..., 609730, 609750, 609770], shape=(5490,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>conditions_mask_l2a_classification_r20m_y</span></div><div class='xr-var-dims'>(conditions_mask_l2a_classification_r20m_y)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>5300030 5300010 ... 5190270 5190250</div><input id='attrs-46c570dc-ba85-4add-ade3-768ca1aed38e' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-46c570dc-ba85-4add-ade3-768ca1aed38e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a808dca1-9e64-43b6-b35b-1a9c27a82667' class='xr-var-data-in' type='checkbox'><label for='data-a808dca1-9e64-43b6-b35b-1a9c27a82667' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([5300030, 5300010, 5299990, ..., 5190290, 5190270, 5190250],\n",
-       "      shape=(5490,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>conditions_mask_l2a_classification_r60m_x</span></div><div class='xr-var-dims'>(conditions_mask_l2a_classification_r60m_x)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>500010 500070 ... 609690 609750</div><input id='attrs-157f6369-fdc9-4c68-b393-7d0293817ab7' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-157f6369-fdc9-4c68-b393-7d0293817ab7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-219753ed-10bf-4a14-9066-cfa4bf1554b1' class='xr-var-data-in' type='checkbox'><label for='data-219753ed-10bf-4a14-9066-cfa4bf1554b1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([500010, 500070, 500130, ..., 609630, 609690, 609750], shape=(1830,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>conditions_mask_l2a_classification_r60m_y</span></div><div class='xr-var-dims'>(conditions_mask_l2a_classification_r60m_y)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>5300010 5299950 ... 5190330 5190270</div><input id='attrs-ab717fd4-2c68-41ae-a6ce-00de92a4fa79' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-ab717fd4-2c68-41ae-a6ce-00de92a4fa79' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-54157997-6eb6-46ca-bb7e-9beeafe036a7' class='xr-var-data-in' type='checkbox'><label for='data-54157997-6eb6-46ca-bb7e-9beeafe036a7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([5300010, 5299950, 5299890, ..., 5190390, 5190330, 5190270],\n",
-       "      shape=(1830,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>conditions_meteorology_cams_isobaricInhPa</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-fd8debbe-3f41-4c45-be65-3cb1ad8d6479' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fd8debbe-3f41-4c45-be65-3cb1ad8d6479' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b6ff3481-bd30-4255-86e1-fc16cca11d18' class='xr-var-data-in' type='checkbox'><label for='data-b6ff3481-bd30-4255-86e1-fc16cca11d18' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>pressure</dd><dt><span>positive :</span></dt><dd>down</dd><dt><span>standard_name :</span></dt><dd>air_pressure</dd><dt><span>stored_direction :</span></dt><dd>decreasing</dd><dt><span>units :</span></dt><dd>hPa</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>conditions_meteorology_cams_latitude</span></div><div class='xr-var-dims'>(conditions_meteorology_cams_latitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>47.85 47.73 47.6 ... 46.98 46.86</div><input id='attrs-745c6620-95ae-4e70-b607-367205a0b672' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-745c6620-95ae-4e70-b607-367205a0b672' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-af607504-caa8-4f4d-8e2c-259fb09d02c4' class='xr-var-data-in' type='checkbox'><label for='data-af607504-caa8-4f4d-8e2c-259fb09d02c4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>stored_direction :</span></dt><dd>decreasing</dd><dt><span>units :</span></dt><dd>degrees_north</dd></dl></div><div class='xr-var-data'><pre>array([47.854, 47.729, 47.604, 47.479, 47.354, 47.229, 47.104, 46.979, 46.857])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>conditions_meteorology_cams_longitude</span></div><div class='xr-var-dims'>(conditions_meteorology_cams_longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>9.0 9.18 9.36 ... 10.08 10.26 10.44</div><input id='attrs-fe9f5e56-3893-4ee0-87f9-3f53bff3fc2a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fe9f5e56-3893-4ee0-87f9-3f53bff3fc2a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-efd30d7e-0d0b-405b-baef-c96445211049' class='xr-var-data-in' type='checkbox'><label for='data-efd30d7e-0d0b-405b-baef-c96445211049' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd></dl></div><div class='xr-var-data'><pre>array([ 9.  ,  9.18,  9.36,  9.54,  9.72,  9.9 , 10.08, 10.26, 10.44])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>conditions_meteorology_cams_number</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-049e3f99-ac4e-4115-9589-e240a5f7b1db' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-049e3f99-ac4e-4115-9589-e240a5f7b1db' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5ae11ae7-8611-43ea-98d4-ba42cf0f9e1a' class='xr-var-data-in' type='checkbox'><label for='data-5ae11ae7-8611-43ea-98d4-ba42cf0f9e1a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>ensemble member numerical id</dd><dt><span>standard_name :</span></dt><dd>realization</dd><dt><span>units :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=int64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>conditions_meteorology_cams_step</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-54d7dd80-aeed-4fa2-9656-6c3557c058a9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-54d7dd80-aeed-4fa2-9656-6c3557c058a9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-24a07551-c165-4407-98a9-76d6af7c52df' class='xr-var-data-in' type='checkbox'><label for='data-24a07551-c165-4407-98a9-76d6af7c52df' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>time since forecast_reference_time</dd><dt><span>standard_name :</span></dt><dd>forecast_period</dd><dt><span>units :</span></dt><dd>minutes</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=int64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>conditions_meteorology_cams_surface</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-79a0181e-99df-4b16-90a2-bc33bd832b1d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-79a0181e-99df-4b16-90a2-bc33bd832b1d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8711ba08-8d21-4e35-a7bf-b881c2eaedad' class='xr-var-data-in' type='checkbox'><label for='data-8711ba08-8d21-4e35-a7bf-b881c2eaedad' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>original GRIB coordinate for key: level(surface)</dd><dt><span>units :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>conditions_meteorology_cams_time</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-55feb4d2-c611-427a-b724-9a338c635e80' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-55feb4d2-c611-427a-b724-9a338c635e80' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-444687bf-4e94-4155-8c6d-80c3f77e18fd' class='xr-var-data-in' type='checkbox'><label for='data-444687bf-4e94-4155-8c6d-80c3f77e18fd' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;_eopf_decode_datetime64&#x27;: &#x27;datetime64[ns]&#x27;}</dd><dt><span>long_name :</span></dt><dd>initial time of forecast</dd><dt><span>standard_name :</span></dt><dd>forecast_reference_time</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=datetime64[ns]]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>conditions_meteorology_cams_valid_time</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-923800e0-815a-41ab-a13b-0bdfdc911a9b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-923800e0-815a-41ab-a13b-0bdfdc911a9b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9737afe8-c942-4a4c-8da9-fc3ee887bef3' class='xr-var-data-in' type='checkbox'><label for='data-9737afe8-c942-4a4c-8da9-fc3ee887bef3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;_eopf_decode_datetime64&#x27;: &#x27;datetime64[ns]&#x27;}</dd><dt><span>long_name :</span></dt><dd>time</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=datetime64[ns]]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>conditions_meteorology_ecmwf_isobaricInhPa</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-55459b4f-1ffd-408e-a449-1815f16ac665' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-55459b4f-1ffd-408e-a449-1815f16ac665' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-06917f63-471b-4a3a-ad19-550736b97fca' class='xr-var-data-in' type='checkbox'><label for='data-06917f63-471b-4a3a-ad19-550736b97fca' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>pressure</dd><dt><span>positive :</span></dt><dd>down</dd><dt><span>standard_name :</span></dt><dd>air_pressure</dd><dt><span>stored_direction :</span></dt><dd>decreasing</dd><dt><span>units :</span></dt><dd>hPa</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>conditions_meteorology_ecmwf_latitude</span></div><div class='xr-var-dims'>(conditions_meteorology_ecmwf_latitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>47.85 47.73 47.6 ... 46.98 46.86</div><input id='attrs-d57cb31d-911e-49bf-9539-828d76905cc6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d57cb31d-911e-49bf-9539-828d76905cc6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f31ebd6a-afbf-4eb2-af90-89a0684266d4' class='xr-var-data-in' type='checkbox'><label for='data-f31ebd6a-afbf-4eb2-af90-89a0684266d4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>stored_direction :</span></dt><dd>decreasing</dd><dt><span>units :</span></dt><dd>degrees_north</dd></dl></div><div class='xr-var-data'><pre>array([47.854, 47.729, 47.604, 47.479, 47.354, 47.229, 47.104, 46.979, 46.857])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>conditions_meteorology_ecmwf_longitude</span></div><div class='xr-var-dims'>(conditions_meteorology_ecmwf_longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>9.0 9.18 9.36 ... 10.08 10.26 10.44</div><input id='attrs-bc0b4b34-22d5-42dc-96b1-0afb538d8c48' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bc0b4b34-22d5-42dc-96b1-0afb538d8c48' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1a8d1647-45ce-4cfe-89d9-e63b39bc8283' class='xr-var-data-in' type='checkbox'><label for='data-1a8d1647-45ce-4cfe-89d9-e63b39bc8283' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd></dl></div><div class='xr-var-data'><pre>array([ 9.  ,  9.18,  9.36,  9.54,  9.72,  9.9 , 10.08, 10.26, 10.44])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>conditions_meteorology_ecmwf_number</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-4629a583-e5df-4b3d-b22b-1d164317d781' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4629a583-e5df-4b3d-b22b-1d164317d781' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c313fce9-5c0e-4386-a4f7-30d3edda79c0' class='xr-var-data-in' type='checkbox'><label for='data-c313fce9-5c0e-4386-a4f7-30d3edda79c0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>ensemble member numerical id</dd><dt><span>standard_name :</span></dt><dd>realization</dd><dt><span>units :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=int64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>conditions_meteorology_ecmwf_step</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-6b88f876-c43e-487e-ae45-e28a9a34ef0e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6b88f876-c43e-487e-ae45-e28a9a34ef0e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1d020734-d51f-4e11-a441-3a2fe6b102c3' class='xr-var-data-in' type='checkbox'><label for='data-1d020734-d51f-4e11-a441-3a2fe6b102c3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>time since forecast_reference_time</dd><dt><span>standard_name :</span></dt><dd>forecast_period</dd><dt><span>units :</span></dt><dd>minutes</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=int64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>conditions_meteorology_ecmwf_surface</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-8956872c-962e-44a3-b41f-a13ea2e7b337' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8956872c-962e-44a3-b41f-a13ea2e7b337' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7ee3abb3-3a56-4fae-a40e-028138bf7556' class='xr-var-data-in' type='checkbox'><label for='data-7ee3abb3-3a56-4fae-a40e-028138bf7556' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>original GRIB coordinate for key: level(surface)</dd><dt><span>units :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>conditions_meteorology_ecmwf_time</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-44aa3dc5-9016-4aec-b519-3c58a3bd5379' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-44aa3dc5-9016-4aec-b519-3c58a3bd5379' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-49777acf-2240-4a64-9d5d-2d4a0095a26c' class='xr-var-data-in' type='checkbox'><label for='data-49777acf-2240-4a64-9d5d-2d4a0095a26c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;_eopf_decode_datetime64&#x27;: &#x27;datetime64[ns]&#x27;}</dd><dt><span>long_name :</span></dt><dd>initial time of forecast</dd><dt><span>standard_name :</span></dt><dd>forecast_reference_time</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=datetime64[ns]]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>conditions_meteorology_ecmwf_valid_time</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-4a1f5f1a-3799-4a5e-90b1-9124e0fc221c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4a1f5f1a-3799-4a5e-90b1-9124e0fc221c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-46c08e2d-40b4-43df-819c-1a7520371f45' class='xr-var-data-in' type='checkbox'><label for='data-46c08e2d-40b4-43df-819c-1a7520371f45' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;_eopf_decode_datetime64&#x27;: &#x27;datetime64[ns]&#x27;}</dd><dt><span>long_name :</span></dt><dd>time</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=datetime64[ns]]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>measurements_r10m_x</span></div><div class='xr-var-dims'>(measurements_r10m_x)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>499985 499995 ... 609765 609775</div><input id='attrs-8a51961f-30f1-4b8f-bd87-d29611ff92ed' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-8a51961f-30f1-4b8f-bd87-d29611ff92ed' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ea89de53-d896-498a-bbee-dd80ccfd4e0b' class='xr-var-data-in' type='checkbox'><label for='data-ea89de53-d896-498a-bbee-dd80ccfd4e0b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([499985, 499995, 500005, ..., 609755, 609765, 609775], shape=(10980,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>measurements_r10m_y</span></div><div class='xr-var-dims'>(measurements_r10m_y)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>5300035 5300025 ... 5190255 5190245</div><input id='attrs-ff79d2c5-30b7-4522-90c7-b6e68d850b8c' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-ff79d2c5-30b7-4522-90c7-b6e68d850b8c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3ae6efb3-5ffc-402c-8218-52ffb17632d7' class='xr-var-data-in' type='checkbox'><label for='data-3ae6efb3-5ffc-402c-8218-52ffb17632d7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([5300035, 5300025, 5300015, ..., 5190265, 5190255, 5190245],\n",
-       "      shape=(10980,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>measurements_r20m_x</span></div><div class='xr-var-dims'>(measurements_r20m_x)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>499990 500010 ... 609750 609770</div><input id='attrs-e9dd0fe7-216f-4d3c-90b5-de32e4711912' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-e9dd0fe7-216f-4d3c-90b5-de32e4711912' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c05e7f85-08d4-4570-9841-a912ca01d087' class='xr-var-data-in' type='checkbox'><label for='data-c05e7f85-08d4-4570-9841-a912ca01d087' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([499990, 500010, 500030, ..., 609730, 609750, 609770], shape=(5490,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>measurements_r20m_y</span></div><div class='xr-var-dims'>(measurements_r20m_y)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>5300030 5300010 ... 5190270 5190250</div><input id='attrs-c06b24ec-a576-4c5c-9cbd-23cd0655661b' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-c06b24ec-a576-4c5c-9cbd-23cd0655661b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f7ad29b3-7fd7-488f-a1d8-8356d27133e4' class='xr-var-data-in' type='checkbox'><label for='data-f7ad29b3-7fd7-488f-a1d8-8356d27133e4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([5300030, 5300010, 5299990, ..., 5190290, 5190270, 5190250],\n",
-       "      shape=(5490,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>measurements_r60m_x</span></div><div class='xr-var-dims'>(measurements_r60m_x)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>500010 500070 ... 609690 609750</div><input id='attrs-b6e1d2ba-7c8a-418c-8e8c-1b3d76ddd741' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-b6e1d2ba-7c8a-418c-8e8c-1b3d76ddd741' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-82bd0b57-30c3-4550-80d2-8f7f097275c6' class='xr-var-data-in' type='checkbox'><label for='data-82bd0b57-30c3-4550-80d2-8f7f097275c6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([500010, 500070, 500130, ..., 609630, 609690, 609750], shape=(1830,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>measurements_r60m_y</span></div><div class='xr-var-dims'>(measurements_r60m_y)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>5300010 5299950 ... 5190330 5190270</div><input id='attrs-a605ce38-ed33-4121-9dfe-3e5b7a49eccb' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-a605ce38-ed33-4121-9dfe-3e5b7a49eccb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-10e60b8e-abc7-4c06-905f-749453be7261' class='xr-var-data-in' type='checkbox'><label for='data-10e60b8e-abc7-4c06-905f-749453be7261' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([5300010, 5299950, 5299890, ..., 5190390, 5190330, 5190270],\n",
-       "      shape=(1830,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>quality_atmosphere_r10m_x</span></div><div class='xr-var-dims'>(quality_atmosphere_r10m_x)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>499985 499995 ... 609765 609775</div><input id='attrs-0838f3d0-3eec-48c4-b042-eaa9524d903c' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-0838f3d0-3eec-48c4-b042-eaa9524d903c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ec81fea9-c2c2-492f-8a21-f47945c89bbb' class='xr-var-data-in' type='checkbox'><label for='data-ec81fea9-c2c2-492f-8a21-f47945c89bbb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([499985, 499995, 500005, ..., 609755, 609765, 609775], shape=(10980,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>quality_atmosphere_r10m_y</span></div><div class='xr-var-dims'>(quality_atmosphere_r10m_y)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>5300035 5300025 ... 5190255 5190245</div><input id='attrs-ad48aa4f-cb09-4b35-a41c-b1a763eda290' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-ad48aa4f-cb09-4b35-a41c-b1a763eda290' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-79f3b2fd-7b3b-4c12-9c51-7b3475c39d48' class='xr-var-data-in' type='checkbox'><label for='data-79f3b2fd-7b3b-4c12-9c51-7b3475c39d48' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([5300035, 5300025, 5300015, ..., 5190265, 5190255, 5190245],\n",
-       "      shape=(10980,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>quality_atmosphere_r20m_x</span></div><div class='xr-var-dims'>(quality_atmosphere_r20m_x)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>499990 500010 ... 609750 609770</div><input id='attrs-ccccb6e9-ad45-49a1-a8d5-570f45bc567e' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-ccccb6e9-ad45-49a1-a8d5-570f45bc567e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ee84c694-f548-460e-808d-5bec153e6c8e' class='xr-var-data-in' type='checkbox'><label for='data-ee84c694-f548-460e-808d-5bec153e6c8e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([499990, 500010, 500030, ..., 609730, 609750, 609770], shape=(5490,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>quality_atmosphere_r20m_y</span></div><div class='xr-var-dims'>(quality_atmosphere_r20m_y)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>5300030 5300010 ... 5190270 5190250</div><input id='attrs-e47a8e90-ba05-45ea-a177-005569f1d768' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-e47a8e90-ba05-45ea-a177-005569f1d768' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-06c38096-a4d7-4ad7-9299-1d4bab162766' class='xr-var-data-in' type='checkbox'><label for='data-06c38096-a4d7-4ad7-9299-1d4bab162766' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([5300030, 5300010, 5299990, ..., 5190290, 5190270, 5190250],\n",
-       "      shape=(5490,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>quality_atmosphere_r60m_x</span></div><div class='xr-var-dims'>(quality_atmosphere_r60m_x)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>500010 500070 ... 609690 609750</div><input id='attrs-67b1a1f6-b02e-4d46-83c7-eb5f11fdf31d' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-67b1a1f6-b02e-4d46-83c7-eb5f11fdf31d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b92b36a5-880b-494a-b795-b0fb4db38453' class='xr-var-data-in' type='checkbox'><label for='data-b92b36a5-880b-494a-b795-b0fb4db38453' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([500010, 500070, 500130, ..., 609630, 609690, 609750], shape=(1830,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>quality_atmosphere_r60m_y</span></div><div class='xr-var-dims'>(quality_atmosphere_r60m_y)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>5300010 5299950 ... 5190330 5190270</div><input id='attrs-4aa8d991-8a34-4bdd-b088-7d2eac3306be' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-4aa8d991-8a34-4bdd-b088-7d2eac3306be' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0de9d051-c250-4a09-ae58-c8b6641e9ed4' class='xr-var-data-in' type='checkbox'><label for='data-0de9d051-c250-4a09-ae58-c8b6641e9ed4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([5300010, 5299950, 5299890, ..., 5190390, 5190330, 5190270],\n",
-       "      shape=(1830,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>quality_l2a_quicklook_r10m_band</span></div><div class='xr-var-dims'>(quality_l2a_quicklook_r10m_band)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>1 2 3</div><input id='attrs-2eb60b2e-cb3f-4ee4-a9df-92751cc2a39c' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-2eb60b2e-cb3f-4ee4-a9df-92751cc2a39c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f737ee39-225f-4532-8b64-2a05bd43fb5c' class='xr-var-data-in' type='checkbox'><label for='data-f737ee39-225f-4532-8b64-2a05bd43fb5c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([1, 2, 3])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>quality_l2a_quicklook_r10m_x</span></div><div class='xr-var-dims'>(quality_l2a_quicklook_r10m_x)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>499985 499995 ... 609765 609775</div><input id='attrs-b72e20e5-b9aa-4fc8-8812-d50501ffb1d2' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-b72e20e5-b9aa-4fc8-8812-d50501ffb1d2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2be714c0-4f4e-40f8-9d48-3655bef40dd5' class='xr-var-data-in' type='checkbox'><label for='data-2be714c0-4f4e-40f8-9d48-3655bef40dd5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([499985, 499995, 500005, ..., 609755, 609765, 609775], shape=(10980,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>quality_l2a_quicklook_r10m_y</span></div><div class='xr-var-dims'>(quality_l2a_quicklook_r10m_y)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>5300035 5300025 ... 5190255 5190245</div><input id='attrs-82550198-5aaa-48e5-9c2c-be5b91a2b905' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-82550198-5aaa-48e5-9c2c-be5b91a2b905' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5c62601b-0c79-42bf-ad0f-b1b3f584942c' class='xr-var-data-in' type='checkbox'><label for='data-5c62601b-0c79-42bf-ad0f-b1b3f584942c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([5300035, 5300025, 5300015, ..., 5190265, 5190255, 5190245],\n",
-       "      shape=(10980,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>quality_l2a_quicklook_r20m_band</span></div><div class='xr-var-dims'>(quality_l2a_quicklook_r20m_band)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>1 2 3</div><input id='attrs-23e323a2-1433-43c9-a859-78c78a9fb15e' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-23e323a2-1433-43c9-a859-78c78a9fb15e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a9eba82b-0219-4e9c-b850-7f14f7568f37' class='xr-var-data-in' type='checkbox'><label for='data-a9eba82b-0219-4e9c-b850-7f14f7568f37' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([1, 2, 3])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>quality_l2a_quicklook_r20m_x</span></div><div class='xr-var-dims'>(quality_l2a_quicklook_r20m_x)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>499990 500010 ... 609750 609770</div><input id='attrs-9443e24c-3699-4ed6-9590-794ece16fbe1' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-9443e24c-3699-4ed6-9590-794ece16fbe1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dada9169-b8fe-4bf7-a5f3-fa461292a979' class='xr-var-data-in' type='checkbox'><label for='data-dada9169-b8fe-4bf7-a5f3-fa461292a979' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([499990, 500010, 500030, ..., 609730, 609750, 609770], shape=(5490,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>quality_l2a_quicklook_r20m_y</span></div><div class='xr-var-dims'>(quality_l2a_quicklook_r20m_y)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>5300030 5300010 ... 5190270 5190250</div><input id='attrs-bcde2220-4964-4cef-a233-97089130e111' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-bcde2220-4964-4cef-a233-97089130e111' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6173d2b1-1669-47af-8239-4180aa202cd9' class='xr-var-data-in' type='checkbox'><label for='data-6173d2b1-1669-47af-8239-4180aa202cd9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([5300030, 5300010, 5299990, ..., 5190290, 5190270, 5190250],\n",
-       "      shape=(5490,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>quality_l2a_quicklook_r60m_band</span></div><div class='xr-var-dims'>(quality_l2a_quicklook_r60m_band)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>1 2 3</div><input id='attrs-ee4ec791-4709-4076-9713-db2608a9c41a' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-ee4ec791-4709-4076-9713-db2608a9c41a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e7132d03-0626-4a93-ae7a-7f363aaf5d0c' class='xr-var-data-in' type='checkbox'><label for='data-e7132d03-0626-4a93-ae7a-7f363aaf5d0c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([1, 2, 3])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>quality_l2a_quicklook_r60m_x</span></div><div class='xr-var-dims'>(quality_l2a_quicklook_r60m_x)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>500010 500070 ... 609690 609750</div><input id='attrs-140e44ea-b3d9-41ff-b5ed-a868028461bc' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-140e44ea-b3d9-41ff-b5ed-a868028461bc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b9cd7341-04ee-4e12-b00c-56b83f62d2fd' class='xr-var-data-in' type='checkbox'><label for='data-b9cd7341-04ee-4e12-b00c-56b83f62d2fd' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([500010, 500070, 500130, ..., 609630, 609690, 609750], shape=(1830,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>quality_l2a_quicklook_r60m_y</span></div><div class='xr-var-dims'>(quality_l2a_quicklook_r60m_y)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>5300010 5299950 ... 5190330 5190270</div><input id='attrs-a51a2249-321a-40e0-95b4-68dca640419c' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-a51a2249-321a-40e0-95b4-68dca640419c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7b85b3ff-bfcc-40bb-b55a-1a946f484802' class='xr-var-data-in' type='checkbox'><label for='data-7b85b3ff-bfcc-40bb-b55a-1a946f484802' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([5300010, 5299950, 5299890, ..., 5190390, 5190330, 5190270],\n",
-       "      shape=(1830,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>quality_mask_r10m_x</span></div><div class='xr-var-dims'>(quality_mask_r10m_x)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>499985 499995 ... 609765 609775</div><input id='attrs-8147131e-0995-4bff-b6ad-d70439883fb5' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-8147131e-0995-4bff-b6ad-d70439883fb5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b4395d53-c1d8-4c65-8f02-c588c4d55f27' class='xr-var-data-in' type='checkbox'><label for='data-b4395d53-c1d8-4c65-8f02-c588c4d55f27' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([499985, 499995, 500005, ..., 609755, 609765, 609775], shape=(10980,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>quality_mask_r10m_y</span></div><div class='xr-var-dims'>(quality_mask_r10m_y)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>5300035 5300025 ... 5190255 5190245</div><input id='attrs-d20136c4-c639-4ec8-be90-ea51dabf486a' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-d20136c4-c639-4ec8-be90-ea51dabf486a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-627e443e-4dc1-4ca3-8454-7196dab8402b' class='xr-var-data-in' type='checkbox'><label for='data-627e443e-4dc1-4ca3-8454-7196dab8402b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([5300035, 5300025, 5300015, ..., 5190265, 5190255, 5190245],\n",
-       "      shape=(10980,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>quality_mask_r20m_x</span></div><div class='xr-var-dims'>(quality_mask_r20m_x)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>499990 500010 ... 609750 609770</div><input id='attrs-b4bb0359-7566-4391-a4d7-e6027ff6e559' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-b4bb0359-7566-4391-a4d7-e6027ff6e559' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-246ce221-8127-42dd-aa56-055bb2f0fb6f' class='xr-var-data-in' type='checkbox'><label for='data-246ce221-8127-42dd-aa56-055bb2f0fb6f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([499990, 500010, 500030, ..., 609730, 609750, 609770], shape=(5490,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>quality_mask_r20m_y</span></div><div class='xr-var-dims'>(quality_mask_r20m_y)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>5300030 5300010 ... 5190270 5190250</div><input id='attrs-5a97d203-cbb3-4c5e-ab4d-2a5d412904a5' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-5a97d203-cbb3-4c5e-ab4d-2a5d412904a5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d3fc2fe0-fa8e-4cce-9d1f-35440c196248' class='xr-var-data-in' type='checkbox'><label for='data-d3fc2fe0-fa8e-4cce-9d1f-35440c196248' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([5300030, 5300010, 5299990, ..., 5190290, 5190270, 5190250],\n",
-       "      shape=(5490,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>quality_mask_r60m_x</span></div><div class='xr-var-dims'>(quality_mask_r60m_x)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>500010 500070 ... 609690 609750</div><input id='attrs-a38fc992-e125-4348-9057-b9c87f5f89ef' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-a38fc992-e125-4348-9057-b9c87f5f89ef' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9c5521e6-b45b-40ab-bf08-2c1882729100' class='xr-var-data-in' type='checkbox'><label for='data-9c5521e6-b45b-40ab-bf08-2c1882729100' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([500010, 500070, 500130, ..., 609630, 609690, 609750], shape=(1830,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>quality_mask_r60m_y</span></div><div class='xr-var-dims'>(quality_mask_r60m_y)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>5300010 5299950 ... 5190330 5190270</div><input id='attrs-ddbce090-1bbd-4062-ad4b-8e5738014c18' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-ddbce090-1bbd-4062-ad4b-8e5738014c18' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a7874f79-6765-4f00-94c7-f7475df66e35' class='xr-var-data-in' type='checkbox'><label for='data-a7874f79-6765-4f00-94c7-f7475df66e35' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([5300010, 5299950, 5299890, ..., 5190390, 5190330, 5190270],\n",
-       "      shape=(1830,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>quality_probability_band</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-f71802aa-68a4-47c9-8d39-49452f26bbf4' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-f71802aa-68a4-47c9-8d39-49452f26bbf4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-12fa3f55-3a35-46a7-9cb7-31ea8eb43db4' class='xr-var-data-in' type='checkbox'><label for='data-12fa3f55-3a35-46a7-9cb7-31ea8eb43db4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=int64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>quality_probability_x</span></div><div class='xr-var-dims'>(quality_probability_x)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>499990 500010 ... 609750 609770</div><input id='attrs-b169ce88-5ebd-49be-9ccc-458142cc646a' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-b169ce88-5ebd-49be-9ccc-458142cc646a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8737212e-9938-46c0-a12d-262252046b58' class='xr-var-data-in' type='checkbox'><label for='data-8737212e-9938-46c0-a12d-262252046b58' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([499990, 500010, 500030, ..., 609730, 609750, 609770], shape=(5490,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>quality_probability_y</span></div><div class='xr-var-dims'>(quality_probability_y)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>5300030 5300010 ... 5190270 5190250</div><input id='attrs-3ce70f19-bad8-4083-9e0f-82c58dbc3a51' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-3ce70f19-bad8-4083-9e0f-82c58dbc3a51' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c870502e-6ecf-4e38-b26e-c85326314965' class='xr-var-data-in' type='checkbox'><label for='data-c870502e-6ecf-4e38-b26e-c85326314965' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([5300030, 5300010, 5299990, ..., 5190290, 5190270, 5190250],\n",
-       "      shape=(5490,))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-96146ac3-c60f-421e-82c4-4f044e44d25f' class='xr-section-summary-in' type='checkbox'  ><label for='section-96146ac3-c60f-421e-82c4-4f044e44d25f' class='xr-section-summary' >Data variables: <span>(86)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>conditions_geometry_mean_sun_angles</span></div><div class='xr-var-dims'>(conditions_geometry_angle)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(2,), meta=np.ndarray&gt;</div><input id='attrs-f03699cd-e989-4da4-8628-761b1af47b94' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f03699cd-e989-4da4-8628-761b1af47b94' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1f747cfd-cd3b-4735-a545-f91609c0ff47' class='xr-var-data-in' type='checkbox'><label for='data-1f747cfd-cd3b-4735-a545-f91609c0ff47' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;angle&#x27;], &#x27;dimensions&#x27;: [&#x27;angle&#x27;]}</dd><dt><span>unit :</span></dt><dd>deg</dd></dl></div><div class='xr-var-data'><table>\n",
+       "       589980, 594980, 599980, 604980, 609980])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>conditions_geometry_y</span></div><div class='xr-var-dims'>(conditions_geometry_y)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>8000040 7995040 ... 7895040 7890040</div><input id='attrs-b627432b-99df-4ebe-9a97-4f4ccd8a358d' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-b627432b-99df-4ebe-9a97-4f4ccd8a358d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f11ea36a-c5c3-4f61-8a3d-4ff2f80b745a' class='xr-var-data-in' type='checkbox'><label for='data-f11ea36a-c5c3-4f61-8a3d-4ff2f80b745a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([8000040, 7995040, 7990040, 7985040, 7980040, 7975040, 7970040, 7965040,\n",
+       "       7960040, 7955040, 7950040, 7945040, 7940040, 7935040, 7930040, 7925040,\n",
+       "       7920040, 7915040, 7910040, 7905040, 7900040, 7895040, 7890040])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>conditions_mask_detector_footprint_r10m_x</span></div><div class='xr-var-dims'>(conditions_mask_detector_footprint_r10m_x)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>499985 499995 ... 609765 609775</div><input id='attrs-c2bab74d-ea21-4983-b1aa-038261f1dcd6' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-c2bab74d-ea21-4983-b1aa-038261f1dcd6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-01dfc33f-d922-4ab6-afa0-8085789d3535' class='xr-var-data-in' type='checkbox'><label for='data-01dfc33f-d922-4ab6-afa0-8085789d3535' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([499985, 499995, 500005, ..., 609755, 609765, 609775], shape=(10980,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>conditions_mask_detector_footprint_r10m_y</span></div><div class='xr-var-dims'>(conditions_mask_detector_footprint_r10m_y)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>8000035 8000025 ... 7890255 7890245</div><input id='attrs-6f37f277-00dd-4114-b37f-8115fd645354' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-6f37f277-00dd-4114-b37f-8115fd645354' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e66b8304-09d9-4c03-84e8-fcd6fe754425' class='xr-var-data-in' type='checkbox'><label for='data-e66b8304-09d9-4c03-84e8-fcd6fe754425' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([8000035, 8000025, 8000015, ..., 7890265, 7890255, 7890245],\n",
+       "      shape=(10980,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>conditions_mask_detector_footprint_r20m_x</span></div><div class='xr-var-dims'>(conditions_mask_detector_footprint_r20m_x)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>499990 500010 ... 609750 609770</div><input id='attrs-023f0f39-5525-4274-87ea-3572cc618b0f' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-023f0f39-5525-4274-87ea-3572cc618b0f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c0a523b4-2053-45a9-9e13-435b112e6e86' class='xr-var-data-in' type='checkbox'><label for='data-c0a523b4-2053-45a9-9e13-435b112e6e86' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([499990, 500010, 500030, ..., 609730, 609750, 609770], shape=(5490,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>conditions_mask_detector_footprint_r20m_y</span></div><div class='xr-var-dims'>(conditions_mask_detector_footprint_r20m_y)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>8000030 8000010 ... 7890270 7890250</div><input id='attrs-b6dbb6e2-7250-4650-b4f5-b31c94d8948d' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-b6dbb6e2-7250-4650-b4f5-b31c94d8948d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d769481a-259d-43e8-8645-8e01360d9dc4' class='xr-var-data-in' type='checkbox'><label for='data-d769481a-259d-43e8-8645-8e01360d9dc4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([8000030, 8000010, 7999990, ..., 7890290, 7890270, 7890250],\n",
+       "      shape=(5490,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>conditions_mask_detector_footprint_r60m_x</span></div><div class='xr-var-dims'>(conditions_mask_detector_footprint_r60m_x)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>500010 500070 ... 609690 609750</div><input id='attrs-a588d7d8-cb54-41bb-89c3-c13653815fa3' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-a588d7d8-cb54-41bb-89c3-c13653815fa3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-833c2196-8ab6-469b-bcaf-77452d2923c2' class='xr-var-data-in' type='checkbox'><label for='data-833c2196-8ab6-469b-bcaf-77452d2923c2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([500010, 500070, 500130, ..., 609630, 609690, 609750], shape=(1830,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>conditions_mask_detector_footprint_r60m_y</span></div><div class='xr-var-dims'>(conditions_mask_detector_footprint_r60m_y)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>8000010 7999950 ... 7890330 7890270</div><input id='attrs-9e21a242-7c73-473d-a7d4-f5f2f8bfa6b7' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-9e21a242-7c73-473d-a7d4-f5f2f8bfa6b7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ed11b94c-d5c1-41a3-8608-0ce7c917985c' class='xr-var-data-in' type='checkbox'><label for='data-ed11b94c-d5c1-41a3-8608-0ce7c917985c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([8000010, 7999950, 7999890, ..., 7890390, 7890330, 7890270],\n",
+       "      shape=(1830,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>conditions_mask_l1c_classification_x</span></div><div class='xr-var-dims'>(conditions_mask_l1c_classification_x)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>500010 500070 ... 609690 609750</div><input id='attrs-edf5ae67-b723-45b2-b556-53d3e3563e96' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-edf5ae67-b723-45b2-b556-53d3e3563e96' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7fe25fec-f342-4f60-8c4e-1ab701dd6c70' class='xr-var-data-in' type='checkbox'><label for='data-7fe25fec-f342-4f60-8c4e-1ab701dd6c70' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([500010, 500070, 500130, ..., 609630, 609690, 609750], shape=(1830,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>conditions_mask_l1c_classification_y</span></div><div class='xr-var-dims'>(conditions_mask_l1c_classification_y)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>8000010 7999950 ... 7890330 7890270</div><input id='attrs-e3de0976-16b1-4264-a61c-90df51d2ed22' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-e3de0976-16b1-4264-a61c-90df51d2ed22' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d4af9379-f562-4a16-a49d-d88b8f381317' class='xr-var-data-in' type='checkbox'><label for='data-d4af9379-f562-4a16-a49d-d88b8f381317' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([8000010, 7999950, 7999890, ..., 7890390, 7890330, 7890270],\n",
+       "      shape=(1830,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>conditions_meteorology_cams_isobaricInhPa</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-27ce091f-a804-4d6d-b65f-45c1cbe7fb98' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-27ce091f-a804-4d6d-b65f-45c1cbe7fb98' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-56201635-2f60-465c-9466-f7d991f0bb9a' class='xr-var-data-in' type='checkbox'><label for='data-56201635-2f60-465c-9466-f7d991f0bb9a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>pressure</dd><dt><span>positive :</span></dt><dd>down</dd><dt><span>standard_name :</span></dt><dd>air_pressure</dd><dt><span>stored_direction :</span></dt><dd>decreasing</dd><dt><span>units :</span></dt><dd>hPa</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>conditions_meteorology_cams_latitude</span></div><div class='xr-var-dims'>(conditions_meteorology_cams_latitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>72.1 71.97 71.85 ... 71.22 71.09</div><input id='attrs-71dc9553-2b75-42ae-bb4d-a160d26a2eac' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-71dc9553-2b75-42ae-bb4d-a160d26a2eac' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-91a0ac56-0104-4464-8119-c3176e172493' class='xr-var-data-in' type='checkbox'><label for='data-91a0ac56-0104-4464-8119-c3176e172493' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>stored_direction :</span></dt><dd>decreasing</dd><dt><span>units :</span></dt><dd>degrees_north</dd></dl></div><div class='xr-var-data'><pre>array([72.1  , 71.974, 71.848, 71.722, 71.596, 71.47 , 71.344, 71.218, 71.09 ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>conditions_meteorology_cams_longitude</span></div><div class='xr-var-dims'>(conditions_meteorology_cams_longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-33.0 -32.62 ... -30.34 -29.96</div><input id='attrs-1c0db9f6-f00f-41fe-a9d9-0cbe899813dc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1c0db9f6-f00f-41fe-a9d9-0cbe899813dc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e80883ff-de6c-40a0-a4ca-18307e553bbb' class='xr-var-data-in' type='checkbox'><label for='data-e80883ff-de6c-40a0-a4ca-18307e553bbb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd></dl></div><div class='xr-var-data'><pre>array([-33.001   , -32.621375, -32.24175 , -31.862125, -31.4825  , -31.102875,\n",
+       "       -30.72325 , -30.343625, -29.964   ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>conditions_meteorology_cams_number</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-df3cbf44-4d5f-4ba0-9759-8b5bbb8ab8e8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-df3cbf44-4d5f-4ba0-9759-8b5bbb8ab8e8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a123627a-ea9f-4d7c-84e1-39603acf771c' class='xr-var-data-in' type='checkbox'><label for='data-a123627a-ea9f-4d7c-84e1-39603acf771c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>ensemble member numerical id</dd><dt><span>standard_name :</span></dt><dd>realization</dd><dt><span>units :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=int64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>conditions_meteorology_cams_step</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-ec077cc9-6547-4218-88f7-8246db36d28e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ec077cc9-6547-4218-88f7-8246db36d28e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c42b3db1-7aa8-47be-8ab1-d430ceacd83f' class='xr-var-data-in' type='checkbox'><label for='data-c42b3db1-7aa8-47be-8ab1-d430ceacd83f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>time since forecast_reference_time</dd><dt><span>standard_name :</span></dt><dd>forecast_period</dd><dt><span>units :</span></dt><dd>nanoseconds</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=int64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>conditions_meteorology_cams_surface</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-16c0e052-e560-42f3-a239-6a38554fc4de' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-16c0e052-e560-42f3-a239-6a38554fc4de' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-df8cf5c8-7a46-4672-9047-0cf51be957d4' class='xr-var-data-in' type='checkbox'><label for='data-df8cf5c8-7a46-4672-9047-0cf51be957d4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>original GRIB coordinate for key: level(surface)</dd><dt><span>units :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>conditions_meteorology_cams_time</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-70ac0468-7308-4d7e-80e6-371f4f19c8b2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-70ac0468-7308-4d7e-80e6-371f4f19c8b2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0294be9d-465d-4dad-bfd7-058452388af9' class='xr-var-data-in' type='checkbox'><label for='data-0294be9d-465d-4dad-bfd7-058452388af9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>initial time of forecast</dd><dt><span>standard_name :</span></dt><dd>forecast_reference_time</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=datetime64[ns]]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>conditions_meteorology_cams_valid_time</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-dbac1ff3-268d-4d8e-b161-4b60ef733886' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-dbac1ff3-268d-4d8e-b161-4b60ef733886' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ee6aceed-5401-4951-bb1d-70f51aa0934b' class='xr-var-data-in' type='checkbox'><label for='data-ee6aceed-5401-4951-bb1d-70f51aa0934b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>time</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=datetime64[ns]]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>conditions_meteorology_ecmwf_isobaricInhPa</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-21b97aaf-7a98-4750-85a4-61e53625e08f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-21b97aaf-7a98-4750-85a4-61e53625e08f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2584c901-92d7-48ef-bed0-674e33e84e0b' class='xr-var-data-in' type='checkbox'><label for='data-2584c901-92d7-48ef-bed0-674e33e84e0b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>pressure</dd><dt><span>positive :</span></dt><dd>down</dd><dt><span>standard_name :</span></dt><dd>air_pressure</dd><dt><span>stored_direction :</span></dt><dd>decreasing</dd><dt><span>units :</span></dt><dd>hPa</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>conditions_meteorology_ecmwf_latitude</span></div><div class='xr-var-dims'>(conditions_meteorology_ecmwf_latitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>72.1 71.97 71.85 ... 71.22 71.09</div><input id='attrs-4efece1f-54e2-492b-8f51-84dbcc4ae1fb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4efece1f-54e2-492b-8f51-84dbcc4ae1fb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-31dc4165-94f2-47c8-a938-17d4de07de34' class='xr-var-data-in' type='checkbox'><label for='data-31dc4165-94f2-47c8-a938-17d4de07de34' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>stored_direction :</span></dt><dd>decreasing</dd><dt><span>units :</span></dt><dd>degrees_north</dd></dl></div><div class='xr-var-data'><pre>array([72.1  , 71.974, 71.848, 71.722, 71.596, 71.47 , 71.344, 71.218, 71.09 ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>conditions_meteorology_ecmwf_longitude</span></div><div class='xr-var-dims'>(conditions_meteorology_ecmwf_longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-33.0 -32.62 ... -30.34 -29.96</div><input id='attrs-c210e47f-37a9-4c53-9072-03e9402b8205' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c210e47f-37a9-4c53-9072-03e9402b8205' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a59e0836-2340-402c-957d-d83e8f22b734' class='xr-var-data-in' type='checkbox'><label for='data-a59e0836-2340-402c-957d-d83e8f22b734' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd></dl></div><div class='xr-var-data'><pre>array([-33.001   , -32.621375, -32.24175 , -31.862125, -31.4825  , -31.102875,\n",
+       "       -30.72325 , -30.343625, -29.964   ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>conditions_meteorology_ecmwf_number</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-4de9685f-3b15-407c-ad7e-cbcc13b91640' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4de9685f-3b15-407c-ad7e-cbcc13b91640' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0d5ffabd-0c15-451a-8101-65fae2c785cd' class='xr-var-data-in' type='checkbox'><label for='data-0d5ffabd-0c15-451a-8101-65fae2c785cd' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>ensemble member numerical id</dd><dt><span>standard_name :</span></dt><dd>realization</dd><dt><span>units :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=int64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>conditions_meteorology_ecmwf_step</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-db634170-c863-48b1-8a5f-422950cba8e3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-db634170-c863-48b1-8a5f-422950cba8e3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2579311a-57f9-4e14-9868-1251bfe38d32' class='xr-var-data-in' type='checkbox'><label for='data-2579311a-57f9-4e14-9868-1251bfe38d32' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>time since forecast_reference_time</dd><dt><span>standard_name :</span></dt><dd>forecast_period</dd><dt><span>units :</span></dt><dd>nanoseconds</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=int64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>conditions_meteorology_ecmwf_surface</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-8c66484f-e0b5-40a2-a38b-645bf445200e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8c66484f-e0b5-40a2-a38b-645bf445200e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8b982250-cc2e-4db5-a424-23ca021e3218' class='xr-var-data-in' type='checkbox'><label for='data-8b982250-cc2e-4db5-a424-23ca021e3218' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>original GRIB coordinate for key: level(surface)</dd><dt><span>units :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>conditions_meteorology_ecmwf_time</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-604fcacc-6021-4ed9-a5af-a990dfde7596' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-604fcacc-6021-4ed9-a5af-a990dfde7596' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-eb14878c-57c1-4389-ae9c-50b4f7dccb38' class='xr-var-data-in' type='checkbox'><label for='data-eb14878c-57c1-4389-ae9c-50b4f7dccb38' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>initial time of forecast</dd><dt><span>standard_name :</span></dt><dd>forecast_reference_time</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=datetime64[ns]]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>conditions_meteorology_ecmwf_valid_time</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-b0063e08-29f0-49ad-bf5c-798ffdd288e7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b0063e08-29f0-49ad-bf5c-798ffdd288e7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2b03ae04-1e57-4ad8-ac9f-84dd157f3b74' class='xr-var-data-in' type='checkbox'><label for='data-2b03ae04-1e57-4ad8-ac9f-84dd157f3b74' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>time</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=datetime64[ns]]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>measurements_r10m_x</span></div><div class='xr-var-dims'>(measurements_r10m_x)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>499985 499995 ... 609765 609775</div><input id='attrs-1746e173-a155-4c3a-a160-67c58747863f' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-1746e173-a155-4c3a-a160-67c58747863f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7dbd0986-7d67-4e38-98c3-0d10003e0e18' class='xr-var-data-in' type='checkbox'><label for='data-7dbd0986-7d67-4e38-98c3-0d10003e0e18' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([499985, 499995, 500005, ..., 609755, 609765, 609775], shape=(10980,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>measurements_r10m_y</span></div><div class='xr-var-dims'>(measurements_r10m_y)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>8000035 8000025 ... 7890255 7890245</div><input id='attrs-31b5aa92-10f8-414a-90d7-4236e9151ed4' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-31b5aa92-10f8-414a-90d7-4236e9151ed4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7e0025cb-6a48-4aaf-9bc8-bacdcd60a280' class='xr-var-data-in' type='checkbox'><label for='data-7e0025cb-6a48-4aaf-9bc8-bacdcd60a280' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([8000035, 8000025, 8000015, ..., 7890265, 7890255, 7890245],\n",
+       "      shape=(10980,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>measurements_r20m_x</span></div><div class='xr-var-dims'>(measurements_r20m_x)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>499990 500010 ... 609750 609770</div><input id='attrs-31a3960e-3e8e-462a-920b-9cc2d5d6fccc' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-31a3960e-3e8e-462a-920b-9cc2d5d6fccc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b213d0ac-9101-4e0a-9235-796b5c2864d9' class='xr-var-data-in' type='checkbox'><label for='data-b213d0ac-9101-4e0a-9235-796b5c2864d9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([499990, 500010, 500030, ..., 609730, 609750, 609770], shape=(5490,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>measurements_r20m_y</span></div><div class='xr-var-dims'>(measurements_r20m_y)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>8000030 8000010 ... 7890270 7890250</div><input id='attrs-aee169da-a26d-4a72-8560-5ebba2220ad0' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-aee169da-a26d-4a72-8560-5ebba2220ad0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-084c96f2-2df4-4036-a514-79791b1d17d0' class='xr-var-data-in' type='checkbox'><label for='data-084c96f2-2df4-4036-a514-79791b1d17d0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([8000030, 8000010, 7999990, ..., 7890290, 7890270, 7890250],\n",
+       "      shape=(5490,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>measurements_r60m_x</span></div><div class='xr-var-dims'>(measurements_r60m_x)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>500010 500070 ... 609690 609750</div><input id='attrs-ac1288e9-d589-450e-a8be-fce64843fb38' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-ac1288e9-d589-450e-a8be-fce64843fb38' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-408bbd3e-dcf3-4dde-918f-e604a809128d' class='xr-var-data-in' type='checkbox'><label for='data-408bbd3e-dcf3-4dde-918f-e604a809128d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([500010, 500070, 500130, ..., 609630, 609690, 609750], shape=(1830,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>measurements_r60m_y</span></div><div class='xr-var-dims'>(measurements_r60m_y)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>8000010 7999950 ... 7890330 7890270</div><input id='attrs-d925656a-bb75-4e45-8816-c562da7cc968' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-d925656a-bb75-4e45-8816-c562da7cc968' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b1aac7fd-d6ef-46c1-993f-476a6fe49c91' class='xr-var-data-in' type='checkbox'><label for='data-b1aac7fd-d6ef-46c1-993f-476a6fe49c91' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([8000010, 7999950, 7999890, ..., 7890390, 7890330, 7890270],\n",
+       "      shape=(1830,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>quality_l1c_quicklook_band</span></div><div class='xr-var-dims'>(quality_l1c_quicklook_band)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>1 2 3</div><input id='attrs-36590049-eb52-4e34-8d88-2b1341ff5683' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-36590049-eb52-4e34-8d88-2b1341ff5683' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5ef1cbc1-791e-43be-b19b-c6fe6eac4190' class='xr-var-data-in' type='checkbox'><label for='data-5ef1cbc1-791e-43be-b19b-c6fe6eac4190' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([1, 2, 3])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>quality_l1c_quicklook_x</span></div><div class='xr-var-dims'>(quality_l1c_quicklook_x)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>499985 499995 ... 609765 609775</div><input id='attrs-e9e37cca-045b-40cf-bcfe-bad8120f05aa' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-e9e37cca-045b-40cf-bcfe-bad8120f05aa' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ab9c04bb-b10a-422a-b661-422fb15932c4' class='xr-var-data-in' type='checkbox'><label for='data-ab9c04bb-b10a-422a-b661-422fb15932c4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([499985, 499995, 500005, ..., 609755, 609765, 609775], shape=(10980,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>quality_l1c_quicklook_y</span></div><div class='xr-var-dims'>(quality_l1c_quicklook_y)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>8000035 8000025 ... 7890255 7890245</div><input id='attrs-63df9aea-70e1-4db7-ba4e-67445833a35a' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-63df9aea-70e1-4db7-ba4e-67445833a35a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-936f5d6a-867b-4052-a4b1-f826a1be6300' class='xr-var-data-in' type='checkbox'><label for='data-936f5d6a-867b-4052-a4b1-f826a1be6300' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([8000035, 8000025, 8000015, ..., 7890265, 7890255, 7890245],\n",
+       "      shape=(10980,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>quality_mask_r10m_x</span></div><div class='xr-var-dims'>(quality_mask_r10m_x)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>499985 499995 ... 609765 609775</div><input id='attrs-4628043e-646d-439b-b2f3-7804a39a123c' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-4628043e-646d-439b-b2f3-7804a39a123c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a3b118e3-b6a1-4df8-b13e-c1a19ad5999a' class='xr-var-data-in' type='checkbox'><label for='data-a3b118e3-b6a1-4df8-b13e-c1a19ad5999a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([499985, 499995, 500005, ..., 609755, 609765, 609775], shape=(10980,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>quality_mask_r10m_y</span></div><div class='xr-var-dims'>(quality_mask_r10m_y)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>8000035 8000025 ... 7890255 7890245</div><input id='attrs-8e2377d6-5251-4d20-9af2-963c9c0980af' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-8e2377d6-5251-4d20-9af2-963c9c0980af' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6ed42b14-d518-414d-86bc-d5a328554d2b' class='xr-var-data-in' type='checkbox'><label for='data-6ed42b14-d518-414d-86bc-d5a328554d2b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([8000035, 8000025, 8000015, ..., 7890265, 7890255, 7890245],\n",
+       "      shape=(10980,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>quality_mask_r20m_x</span></div><div class='xr-var-dims'>(quality_mask_r20m_x)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>499990 500010 ... 609750 609770</div><input id='attrs-3a4615af-43b7-4cf4-bf80-92f21954a2e7' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-3a4615af-43b7-4cf4-bf80-92f21954a2e7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-44eafa17-48fa-498a-a6a1-cdd3c20c658d' class='xr-var-data-in' type='checkbox'><label for='data-44eafa17-48fa-498a-a6a1-cdd3c20c658d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([499990, 500010, 500030, ..., 609730, 609750, 609770], shape=(5490,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>quality_mask_r20m_y</span></div><div class='xr-var-dims'>(quality_mask_r20m_y)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>8000030 8000010 ... 7890270 7890250</div><input id='attrs-69faf647-3ef3-4ca0-8de7-77ad43c5c27a' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-69faf647-3ef3-4ca0-8de7-77ad43c5c27a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cecceae0-d284-4f8c-9c1d-0766b56dabcc' class='xr-var-data-in' type='checkbox'><label for='data-cecceae0-d284-4f8c-9c1d-0766b56dabcc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([8000030, 8000010, 7999990, ..., 7890290, 7890270, 7890250],\n",
+       "      shape=(5490,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>quality_mask_r60m_x</span></div><div class='xr-var-dims'>(quality_mask_r60m_x)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>500010 500070 ... 609690 609750</div><input id='attrs-d88e7a09-7bec-4b0b-b719-ebd8e9398c0e' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-d88e7a09-7bec-4b0b-b719-ebd8e9398c0e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-61af00fb-4591-4532-a24e-d60077c77bd0' class='xr-var-data-in' type='checkbox'><label for='data-61af00fb-4591-4532-a24e-d60077c77bd0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([500010, 500070, 500130, ..., 609630, 609690, 609750], shape=(1830,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>quality_mask_r60m_y</span></div><div class='xr-var-dims'>(quality_mask_r60m_y)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>8000010 7999950 ... 7890330 7890270</div><input id='attrs-d68011db-053d-4a6d-bf48-f2806b555eb3' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-d68011db-053d-4a6d-bf48-f2806b555eb3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-04f97d94-0a24-4ddd-94b0-a948101bee78' class='xr-var-data-in' type='checkbox'><label for='data-04f97d94-0a24-4ddd-94b0-a948101bee78' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([8000010, 7999950, 7999890, ..., 7890390, 7890330, 7890270],\n",
+       "      shape=(1830,))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-f59593c7-50f1-4989-ba38-ef6941571856' class='xr-section-summary-in' type='checkbox'  ><label for='section-f59593c7-50f1-4989-ba38-ef6941571856' class='xr-section-summary' >Data variables: <span>(62)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>conditions_geometry_mean_sun_angles</span></div><div class='xr-var-dims'>(conditions_geometry_angle)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(2,), meta=np.ndarray&gt;</div><input id='attrs-3031ec55-7fa7-4e7d-abea-bb15f892904c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3031ec55-7fa7-4e7d-abea-bb15f892904c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-13bf2965-4de7-48c0-8c30-aa49cc06bf7b' class='xr-var-data-in' type='checkbox'><label for='data-13bf2965-4de7-48c0-8c30-aa49cc06bf7b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;angle&#x27;], &#x27;dimensions&#x27;: [&#x27;angle&#x27;]}</dd><dt><span>unit :</span></dt><dd>deg</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -16484,7 +16479,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>conditions_geometry_mean_viewing_incidence_angles</span></div><div class='xr-var-dims'>(conditions_geometry_band, conditions_geometry_angle)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(13, 2), meta=np.ndarray&gt;</div><input id='attrs-7b5bdb41-ba18-4a54-8b26-567768a793a7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7b5bdb41-ba18-4a54-8b26-567768a793a7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4e8cec5b-d82c-48ba-b55e-3b0530255ec8' class='xr-var-data-in' type='checkbox'><label for='data-4e8cec5b-d82c-48ba-b55e-3b0530255ec8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;angle&#x27;, &#x27;band&#x27;], &#x27;dimensions&#x27;: [&#x27;band&#x27;, &#x27;angle&#x27;]}</dd><dt><span>unit :</span></dt><dd>deg</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>conditions_geometry_mean_viewing_incidence_angles</span></div><div class='xr-var-dims'>(conditions_geometry_band, conditions_geometry_angle)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(13, 2), meta=np.ndarray&gt;</div><input id='attrs-eb68ce8f-171c-49d9-bae8-9f341e55e94b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-eb68ce8f-171c-49d9-bae8-9f341e55e94b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-44679de2-c3a4-4058-863f-edb7022603f8' class='xr-var-data-in' type='checkbox'><label for='data-44679de2-c3a4-4058-863f-edb7022603f8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;angle&#x27;, &#x27;band&#x27;], &#x27;dimensions&#x27;: [&#x27;band&#x27;, &#x27;angle&#x27;]}</dd><dt><span>unit :</span></dt><dd>deg</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -16539,7 +16534,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>conditions_geometry_sun_angles</span></div><div class='xr-var-dims'>(conditions_geometry_angle, conditions_geometry_y, conditions_geometry_x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(2, 23, 23), meta=np.ndarray&gt;</div><input id='attrs-ad061d16-b6b0-49f0-bee1-d3aefec9b91d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ad061d16-b6b0-49f0-bee1-d3aefec9b91d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-64a91554-1a7a-461d-8e64-114b5ac86b1f' class='xr-var-data-in' type='checkbox'><label for='data-64a91554-1a7a-461d-8e64-114b5ac86b1f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;angle&#x27;, &#x27;y&#x27;, &#x27;x&#x27;], &#x27;dimensions&#x27;: [&#x27;angle&#x27;, &#x27;y&#x27;, &#x27;x&#x27;]}</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>conditions_geometry_sun_angles</span></div><div class='xr-var-dims'>(conditions_geometry_angle, conditions_geometry_y, conditions_geometry_x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(2, 23, 23), meta=np.ndarray&gt;</div><input id='attrs-03403ce5-373b-4f23-8af2-7838f54411e5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-03403ce5-373b-4f23-8af2-7838f54411e5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5fb41267-9238-4d00-9d0a-c95d0843db8e' class='xr-var-data-in' type='checkbox'><label for='data-5fb41267-9238-4d00-9d0a-c95d0843db8e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;angle&#x27;, &#x27;y&#x27;, &#x27;x&#x27;], &#x27;dimensions&#x27;: [&#x27;angle&#x27;, &#x27;y&#x27;, &#x27;x&#x27;]}</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -16617,7 +16612,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>conditions_geometry_viewing_incidence_angles</span></div><div class='xr-var-dims'>(conditions_geometry_band, conditions_geometry_detector, conditions_geometry_angle, conditions_geometry_y, conditions_geometry_x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(13, 7, 2, 23, 23), meta=np.ndarray&gt;</div><input id='attrs-dda7387e-27ff-4606-9879-5ab9572cf290' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-dda7387e-27ff-4606-9879-5ab9572cf290' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-36d94758-13c5-40bc-97b9-0a43374e38f2' class='xr-var-data-in' type='checkbox'><label for='data-36d94758-13c5-40bc-97b9-0a43374e38f2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;angle&#x27;, &#x27;y&#x27;, &#x27;x&#x27;, &#x27;detector&#x27;, &#x27;band&#x27;], &#x27;dimensions&#x27;: [&#x27;band&#x27;, &#x27;detector&#x27;, &#x27;angle&#x27;, &#x27;y&#x27;, &#x27;x&#x27;]}</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>conditions_geometry_viewing_incidence_angles</span></div><div class='xr-var-dims'>(conditions_geometry_band, conditions_geometry_detector, conditions_geometry_angle, conditions_geometry_y, conditions_geometry_x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(7, 4, 2, 23, 23), meta=np.ndarray&gt;</div><input id='attrs-6dba60b9-0253-46ca-8a38-7dd3518c9deb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6dba60b9-0253-46ca-8a38-7dd3518c9deb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fb729538-b189-4785-80e2-ceaad0c203b0' class='xr-var-data-in' type='checkbox'><label for='data-fb729538-b189-4785-80e2-ceaad0c203b0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;angle&#x27;, &#x27;y&#x27;, &#x27;x&#x27;, &#x27;detector&#x27;, &#x27;band&#x27;], &#x27;dimensions&#x27;: [&#x27;band&#x27;, &#x27;detector&#x27;, &#x27;angle&#x27;, &#x27;y&#x27;, &#x27;x&#x27;]}</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -16633,17 +16628,17 @@
        "                    <tr>\n",
        "                        <th> Bytes </th>\n",
        "                        <td> 752.17 kiB </td>\n",
-       "                        <td> 752.17 kiB </td>\n",
+       "                        <td> 231.44 kiB </td>\n",
        "                    </tr>\n",
        "                    \n",
        "                    <tr>\n",
        "                        <th> Shape </th>\n",
        "                        <td> (13, 7, 2, 23, 23) </td>\n",
-       "                        <td> (13, 7, 2, 23, 23) </td>\n",
+       "                        <td> (7, 4, 2, 23, 23) </td>\n",
        "                    </tr>\n",
        "                    <tr>\n",
        "                        <th> Dask graph </th>\n",
-       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
+       "                        <td colspan=\"2\"> 4 chunks in 2 graph layers </td>\n",
        "                    </tr>\n",
        "                    <tr>\n",
        "                        <th> Data type </th>\n",
@@ -16657,10 +16652,12 @@
        "\n",
        "  <!-- Horizontal lines -->\n",
        "  <line x1=\"0\" y1=\"0\" x2=\"43\" y2=\"0\" style=\"stroke-width:2\" />\n",
+       "  <line x1=\"0\" y1=\"36\" x2=\"43\" y2=\"36\" />\n",
        "  <line x1=\"0\" y1=\"67\" x2=\"43\" y2=\"67\" style=\"stroke-width:2\" />\n",
        "\n",
        "  <!-- Vertical lines -->\n",
        "  <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"67\" style=\"stroke-width:2\" />\n",
+       "  <line x1=\"24\" y1=\"0\" x2=\"24\" y2=\"67\" />\n",
        "  <line x1=\"43\" y1=\"0\" x2=\"43\" y2=\"67\" style=\"stroke-width:2\" />\n",
        "\n",
        "  <!-- Colored Rectangle -->\n",
@@ -16711,7 +16708,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>conditions_mask_detector_footprint_r10m_b02</span></div><div class='xr-var-dims'>(conditions_mask_detector_footprint_r10m_y, conditions_mask_detector_footprint_r10m_x)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(10980, 10980), meta=np.ndarray&gt;</div><input id='attrs-1fa4b2d4-ab9a-4bea-919a-2a42d6767f31' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1fa4b2d4-ab9a-4bea-919a-2a42d6767f31' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e5983dd9-bfd2-41ec-989a-f7297ca93082' class='xr-var-data-in' type='checkbox'><label for='data-e5983dd9-bfd2-41ec-989a-f7297ca93082' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;]}</dd><dt><span>dtype :</span></dt><dd>&lt;u1</dd><dt><span>long_name :</span></dt><dd>detector footprint mask provided in the final reference frame (ground geometry). 0 = no detector, 1-12 = detector 1-12</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 5190240.0, 609780.0, 5300040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32632</dd><dt><span>proj:shape :</span></dt><dd>[10980, 10980]</dd><dt><span>proj:transform :</span></dt><dd>[10.0, 0.0, 499980.0, 0.0, -10.0, 5300040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 32N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,9],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32632&quot;]]</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>conditions_mask_detector_footprint_r10m_b02</span></div><div class='xr-var-dims'>(conditions_mask_detector_footprint_r10m_y, conditions_mask_detector_footprint_r10m_x)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1830, 1830), meta=np.ndarray&gt;</div><input id='attrs-a5921ce7-7889-4511-9331-ce5ed709f442' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a5921ce7-7889-4511-9331-ce5ed709f442' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c22c3dd1-2572-444b-997c-a0942168e62c' class='xr-var-data-in' type='checkbox'><label for='data-c22c3dd1-2572-444b-997c-a0942168e62c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;dtype&#x27;: &#x27;&lt;u1&#x27;, &#x27;long_name&#x27;: &#x27;detector footprint mask provided in the final reference frame (ground geometry). 0 = no detector, 1-12 = detector 1-12&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u1</dd><dt><span>long_name :</span></dt><dd>detector footprint mask provided in the final reference frame (ground geometry). 0 = no detector, 1-12 = detector 1-12</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 7890240.0, 609780.0, 8000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32625</dd><dt><span>proj:shape :</span></dt><dd>[10980, 10980]</dd><dt><span>proj:transform :</span></dt><dd>[10.0, 0.0, 499980.0, 0.0, -10.0, 8000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 25N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,-33],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32625&quot;]]</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -16727,17 +16724,17 @@
        "                    <tr>\n",
        "                        <th> Bytes </th>\n",
        "                        <td> 114.98 MiB </td>\n",
-       "                        <td> 114.98 MiB </td>\n",
+       "                        <td> 3.19 MiB </td>\n",
        "                    </tr>\n",
        "                    \n",
        "                    <tr>\n",
        "                        <th> Shape </th>\n",
        "                        <td> (10980, 10980) </td>\n",
-       "                        <td> (10980, 10980) </td>\n",
+       "                        <td> (1830, 1830) </td>\n",
        "                    </tr>\n",
        "                    <tr>\n",
        "                        <th> Dask graph </th>\n",
-       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
+       "                        <td colspan=\"2\"> 36 chunks in 2 graph layers </td>\n",
        "                    </tr>\n",
        "                    <tr>\n",
        "                        <th> Data type </th>\n",
@@ -16751,10 +16748,20 @@
        "\n",
        "  <!-- Horizontal lines -->\n",
        "  <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n",
+       "  <line x1=\"0\" y1=\"20\" x2=\"120\" y2=\"20\" />\n",
+       "  <line x1=\"0\" y1=\"40\" x2=\"120\" y2=\"40\" />\n",
+       "  <line x1=\"0\" y1=\"60\" x2=\"120\" y2=\"60\" />\n",
+       "  <line x1=\"0\" y1=\"80\" x2=\"120\" y2=\"80\" />\n",
+       "  <line x1=\"0\" y1=\"100\" x2=\"120\" y2=\"100\" />\n",
        "  <line x1=\"0\" y1=\"120\" x2=\"120\" y2=\"120\" style=\"stroke-width:2\" />\n",
        "\n",
        "  <!-- Vertical lines -->\n",
        "  <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"120\" style=\"stroke-width:2\" />\n",
+       "  <line x1=\"20\" y1=\"0\" x2=\"20\" y2=\"120\" />\n",
+       "  <line x1=\"40\" y1=\"0\" x2=\"40\" y2=\"120\" />\n",
+       "  <line x1=\"60\" y1=\"0\" x2=\"60\" y2=\"120\" />\n",
+       "  <line x1=\"80\" y1=\"0\" x2=\"80\" y2=\"120\" />\n",
+       "  <line x1=\"100\" y1=\"0\" x2=\"100\" y2=\"120\" />\n",
        "  <line x1=\"120\" y1=\"0\" x2=\"120\" y2=\"120\" style=\"stroke-width:2\" />\n",
        "\n",
        "  <!-- Colored Rectangle -->\n",
@@ -16766,7 +16773,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>conditions_mask_detector_footprint_r10m_b03</span></div><div class='xr-var-dims'>(conditions_mask_detector_footprint_r10m_y, conditions_mask_detector_footprint_r10m_x)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(10980, 10980), meta=np.ndarray&gt;</div><input id='attrs-a5e40735-92b4-4da5-8bbd-7579317c73c5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a5e40735-92b4-4da5-8bbd-7579317c73c5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7d97d076-0cd8-4669-839c-a126307c2cb7' class='xr-var-data-in' type='checkbox'><label for='data-7d97d076-0cd8-4669-839c-a126307c2cb7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;]}</dd><dt><span>dtype :</span></dt><dd>&lt;u1</dd><dt><span>long_name :</span></dt><dd>detector footprint mask provided in the final reference frame (ground geometry). 0 = no detector, 1-12 = detector 1-12</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 5190240.0, 609780.0, 5300040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32632</dd><dt><span>proj:shape :</span></dt><dd>[10980, 10980]</dd><dt><span>proj:transform :</span></dt><dd>[10.0, 0.0, 499980.0, 0.0, -10.0, 5300040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 32N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,9],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32632&quot;]]</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>conditions_mask_detector_footprint_r10m_b03</span></div><div class='xr-var-dims'>(conditions_mask_detector_footprint_r10m_y, conditions_mask_detector_footprint_r10m_x)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1830, 1830), meta=np.ndarray&gt;</div><input id='attrs-c4077ee1-f4a7-4fe6-8c11-46aed10ef0c6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c4077ee1-f4a7-4fe6-8c11-46aed10ef0c6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e3ade602-292b-4612-bc8e-ceee273a6362' class='xr-var-data-in' type='checkbox'><label for='data-e3ade602-292b-4612-bc8e-ceee273a6362' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;dtype&#x27;: &#x27;&lt;u1&#x27;, &#x27;long_name&#x27;: &#x27;detector footprint mask provided in the final reference frame (ground geometry). 0 = no detector, 1-12 = detector 1-12&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u1</dd><dt><span>long_name :</span></dt><dd>detector footprint mask provided in the final reference frame (ground geometry). 0 = no detector, 1-12 = detector 1-12</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 7890240.0, 609780.0, 8000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32625</dd><dt><span>proj:shape :</span></dt><dd>[10980, 10980]</dd><dt><span>proj:transform :</span></dt><dd>[10.0, 0.0, 499980.0, 0.0, -10.0, 8000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 25N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,-33],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32625&quot;]]</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -16782,17 +16789,17 @@
        "                    <tr>\n",
        "                        <th> Bytes </th>\n",
        "                        <td> 114.98 MiB </td>\n",
-       "                        <td> 114.98 MiB </td>\n",
+       "                        <td> 3.19 MiB </td>\n",
        "                    </tr>\n",
        "                    \n",
        "                    <tr>\n",
        "                        <th> Shape </th>\n",
        "                        <td> (10980, 10980) </td>\n",
-       "                        <td> (10980, 10980) </td>\n",
+       "                        <td> (1830, 1830) </td>\n",
        "                    </tr>\n",
        "                    <tr>\n",
        "                        <th> Dask graph </th>\n",
-       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
+       "                        <td colspan=\"2\"> 36 chunks in 2 graph layers </td>\n",
        "                    </tr>\n",
        "                    <tr>\n",
        "                        <th> Data type </th>\n",
@@ -16806,10 +16813,20 @@
        "\n",
        "  <!-- Horizontal lines -->\n",
        "  <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n",
+       "  <line x1=\"0\" y1=\"20\" x2=\"120\" y2=\"20\" />\n",
+       "  <line x1=\"0\" y1=\"40\" x2=\"120\" y2=\"40\" />\n",
+       "  <line x1=\"0\" y1=\"60\" x2=\"120\" y2=\"60\" />\n",
+       "  <line x1=\"0\" y1=\"80\" x2=\"120\" y2=\"80\" />\n",
+       "  <line x1=\"0\" y1=\"100\" x2=\"120\" y2=\"100\" />\n",
        "  <line x1=\"0\" y1=\"120\" x2=\"120\" y2=\"120\" style=\"stroke-width:2\" />\n",
        "\n",
        "  <!-- Vertical lines -->\n",
        "  <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"120\" style=\"stroke-width:2\" />\n",
+       "  <line x1=\"20\" y1=\"0\" x2=\"20\" y2=\"120\" />\n",
+       "  <line x1=\"40\" y1=\"0\" x2=\"40\" y2=\"120\" />\n",
+       "  <line x1=\"60\" y1=\"0\" x2=\"60\" y2=\"120\" />\n",
+       "  <line x1=\"80\" y1=\"0\" x2=\"80\" y2=\"120\" />\n",
+       "  <line x1=\"100\" y1=\"0\" x2=\"100\" y2=\"120\" />\n",
        "  <line x1=\"120\" y1=\"0\" x2=\"120\" y2=\"120\" style=\"stroke-width:2\" />\n",
        "\n",
        "  <!-- Colored Rectangle -->\n",
@@ -16821,7 +16838,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>conditions_mask_detector_footprint_r10m_b04</span></div><div class='xr-var-dims'>(conditions_mask_detector_footprint_r10m_y, conditions_mask_detector_footprint_r10m_x)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(10980, 10980), meta=np.ndarray&gt;</div><input id='attrs-280d6645-1440-4865-9d88-48dc731bfec4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-280d6645-1440-4865-9d88-48dc731bfec4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-075654b9-75b1-4bb1-83ac-48c689621a9c' class='xr-var-data-in' type='checkbox'><label for='data-075654b9-75b1-4bb1-83ac-48c689621a9c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;]}</dd><dt><span>dtype :</span></dt><dd>&lt;u1</dd><dt><span>long_name :</span></dt><dd>detector footprint mask provided in the final reference frame (ground geometry). 0 = no detector, 1-12 = detector 1-12</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 5190240.0, 609780.0, 5300040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32632</dd><dt><span>proj:shape :</span></dt><dd>[10980, 10980]</dd><dt><span>proj:transform :</span></dt><dd>[10.0, 0.0, 499980.0, 0.0, -10.0, 5300040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 32N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,9],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32632&quot;]]</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>conditions_mask_detector_footprint_r10m_b04</span></div><div class='xr-var-dims'>(conditions_mask_detector_footprint_r10m_y, conditions_mask_detector_footprint_r10m_x)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1830, 1830), meta=np.ndarray&gt;</div><input id='attrs-9e3971b3-7349-44a4-8379-56ef215ff7fd' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9e3971b3-7349-44a4-8379-56ef215ff7fd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ae01aec8-641b-4569-83f4-da11d58a63da' class='xr-var-data-in' type='checkbox'><label for='data-ae01aec8-641b-4569-83f4-da11d58a63da' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;dtype&#x27;: &#x27;&lt;u1&#x27;, &#x27;long_name&#x27;: &#x27;detector footprint mask provided in the final reference frame (ground geometry). 0 = no detector, 1-12 = detector 1-12&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u1</dd><dt><span>long_name :</span></dt><dd>detector footprint mask provided in the final reference frame (ground geometry). 0 = no detector, 1-12 = detector 1-12</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 7890240.0, 609780.0, 8000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32625</dd><dt><span>proj:shape :</span></dt><dd>[10980, 10980]</dd><dt><span>proj:transform :</span></dt><dd>[10.0, 0.0, 499980.0, 0.0, -10.0, 8000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 25N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,-33],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32625&quot;]]</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -16837,17 +16854,17 @@
        "                    <tr>\n",
        "                        <th> Bytes </th>\n",
        "                        <td> 114.98 MiB </td>\n",
-       "                        <td> 114.98 MiB </td>\n",
+       "                        <td> 3.19 MiB </td>\n",
        "                    </tr>\n",
        "                    \n",
        "                    <tr>\n",
        "                        <th> Shape </th>\n",
        "                        <td> (10980, 10980) </td>\n",
-       "                        <td> (10980, 10980) </td>\n",
+       "                        <td> (1830, 1830) </td>\n",
        "                    </tr>\n",
        "                    <tr>\n",
        "                        <th> Dask graph </th>\n",
-       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
+       "                        <td colspan=\"2\"> 36 chunks in 2 graph layers </td>\n",
        "                    </tr>\n",
        "                    <tr>\n",
        "                        <th> Data type </th>\n",
@@ -16861,10 +16878,20 @@
        "\n",
        "  <!-- Horizontal lines -->\n",
        "  <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n",
+       "  <line x1=\"0\" y1=\"20\" x2=\"120\" y2=\"20\" />\n",
+       "  <line x1=\"0\" y1=\"40\" x2=\"120\" y2=\"40\" />\n",
+       "  <line x1=\"0\" y1=\"60\" x2=\"120\" y2=\"60\" />\n",
+       "  <line x1=\"0\" y1=\"80\" x2=\"120\" y2=\"80\" />\n",
+       "  <line x1=\"0\" y1=\"100\" x2=\"120\" y2=\"100\" />\n",
        "  <line x1=\"0\" y1=\"120\" x2=\"120\" y2=\"120\" style=\"stroke-width:2\" />\n",
        "\n",
        "  <!-- Vertical lines -->\n",
        "  <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"120\" style=\"stroke-width:2\" />\n",
+       "  <line x1=\"20\" y1=\"0\" x2=\"20\" y2=\"120\" />\n",
+       "  <line x1=\"40\" y1=\"0\" x2=\"40\" y2=\"120\" />\n",
+       "  <line x1=\"60\" y1=\"0\" x2=\"60\" y2=\"120\" />\n",
+       "  <line x1=\"80\" y1=\"0\" x2=\"80\" y2=\"120\" />\n",
+       "  <line x1=\"100\" y1=\"0\" x2=\"100\" y2=\"120\" />\n",
        "  <line x1=\"120\" y1=\"0\" x2=\"120\" y2=\"120\" style=\"stroke-width:2\" />\n",
        "\n",
        "  <!-- Colored Rectangle -->\n",
@@ -16876,7 +16903,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>conditions_mask_detector_footprint_r10m_b08</span></div><div class='xr-var-dims'>(conditions_mask_detector_footprint_r10m_y, conditions_mask_detector_footprint_r10m_x)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(10980, 10980), meta=np.ndarray&gt;</div><input id='attrs-2f4c05e3-b17c-47dd-8635-dbe226844097' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2f4c05e3-b17c-47dd-8635-dbe226844097' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b9884c6b-6a91-48a7-b59a-ab9c7acd6b3b' class='xr-var-data-in' type='checkbox'><label for='data-b9884c6b-6a91-48a7-b59a-ab9c7acd6b3b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;]}</dd><dt><span>dtype :</span></dt><dd>&lt;u1</dd><dt><span>long_name :</span></dt><dd>detector footprint mask provided in the final reference frame (ground geometry). 0 = no detector, 1-12 = detector 1-12</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 5190240.0, 609780.0, 5300040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32632</dd><dt><span>proj:shape :</span></dt><dd>[10980, 10980]</dd><dt><span>proj:transform :</span></dt><dd>[10.0, 0.0, 499980.0, 0.0, -10.0, 5300040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 32N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,9],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32632&quot;]]</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>conditions_mask_detector_footprint_r10m_b08</span></div><div class='xr-var-dims'>(conditions_mask_detector_footprint_r10m_y, conditions_mask_detector_footprint_r10m_x)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1830, 1830), meta=np.ndarray&gt;</div><input id='attrs-6d32aa46-7a7e-429c-9c9e-37eb14c4af01' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6d32aa46-7a7e-429c-9c9e-37eb14c4af01' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9d13c753-75bb-4e1e-ad6b-4523aa8bb144' class='xr-var-data-in' type='checkbox'><label for='data-9d13c753-75bb-4e1e-ad6b-4523aa8bb144' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;dtype&#x27;: &#x27;&lt;u1&#x27;, &#x27;long_name&#x27;: &#x27;detector footprint mask provided in the final reference frame (ground geometry). 0 = no detector, 1-12 = detector 1-12&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u1</dd><dt><span>long_name :</span></dt><dd>detector footprint mask provided in the final reference frame (ground geometry). 0 = no detector, 1-12 = detector 1-12</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 7890240.0, 609780.0, 8000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32625</dd><dt><span>proj:shape :</span></dt><dd>[10980, 10980]</dd><dt><span>proj:transform :</span></dt><dd>[10.0, 0.0, 499980.0, 0.0, -10.0, 8000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 25N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,-33],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32625&quot;]]</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -16892,17 +16919,17 @@
        "                    <tr>\n",
        "                        <th> Bytes </th>\n",
        "                        <td> 114.98 MiB </td>\n",
-       "                        <td> 114.98 MiB </td>\n",
+       "                        <td> 3.19 MiB </td>\n",
        "                    </tr>\n",
        "                    \n",
        "                    <tr>\n",
        "                        <th> Shape </th>\n",
        "                        <td> (10980, 10980) </td>\n",
-       "                        <td> (10980, 10980) </td>\n",
+       "                        <td> (1830, 1830) </td>\n",
        "                    </tr>\n",
        "                    <tr>\n",
        "                        <th> Dask graph </th>\n",
-       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
+       "                        <td colspan=\"2\"> 36 chunks in 2 graph layers </td>\n",
        "                    </tr>\n",
        "                    <tr>\n",
        "                        <th> Data type </th>\n",
@@ -16916,10 +16943,20 @@
        "\n",
        "  <!-- Horizontal lines -->\n",
        "  <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n",
+       "  <line x1=\"0\" y1=\"20\" x2=\"120\" y2=\"20\" />\n",
+       "  <line x1=\"0\" y1=\"40\" x2=\"120\" y2=\"40\" />\n",
+       "  <line x1=\"0\" y1=\"60\" x2=\"120\" y2=\"60\" />\n",
+       "  <line x1=\"0\" y1=\"80\" x2=\"120\" y2=\"80\" />\n",
+       "  <line x1=\"0\" y1=\"100\" x2=\"120\" y2=\"100\" />\n",
        "  <line x1=\"0\" y1=\"120\" x2=\"120\" y2=\"120\" style=\"stroke-width:2\" />\n",
        "\n",
        "  <!-- Vertical lines -->\n",
        "  <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"120\" style=\"stroke-width:2\" />\n",
+       "  <line x1=\"20\" y1=\"0\" x2=\"20\" y2=\"120\" />\n",
+       "  <line x1=\"40\" y1=\"0\" x2=\"40\" y2=\"120\" />\n",
+       "  <line x1=\"60\" y1=\"0\" x2=\"60\" y2=\"120\" />\n",
+       "  <line x1=\"80\" y1=\"0\" x2=\"80\" y2=\"120\" />\n",
+       "  <line x1=\"100\" y1=\"0\" x2=\"100\" y2=\"120\" />\n",
        "  <line x1=\"120\" y1=\"0\" x2=\"120\" y2=\"120\" style=\"stroke-width:2\" />\n",
        "\n",
        "  <!-- Colored Rectangle -->\n",
@@ -16931,7 +16968,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>conditions_mask_detector_footprint_r20m_b05</span></div><div class='xr-var-dims'>(conditions_mask_detector_footprint_r20m_y, conditions_mask_detector_footprint_r20m_x)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(5490, 5490), meta=np.ndarray&gt;</div><input id='attrs-b91e5ff0-2195-4e52-8a12-5493c225d4d3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b91e5ff0-2195-4e52-8a12-5493c225d4d3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-735abf2e-bc1d-443f-b954-30b6f2570d2c' class='xr-var-data-in' type='checkbox'><label for='data-735abf2e-bc1d-443f-b954-30b6f2570d2c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;]}</dd><dt><span>dtype :</span></dt><dd>&lt;u1</dd><dt><span>long_name :</span></dt><dd>detector footprint mask provided in the final reference frame (ground geometry). 0 = no detector, 1-12 = detector 1-12</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 5190240.0, 609780.0, 5300040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32632</dd><dt><span>proj:shape :</span></dt><dd>[5490, 5490]</dd><dt><span>proj:transform :</span></dt><dd>[20.0, 0.0, 499980.0, 0.0, -20.0, 5300040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 32N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,9],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32632&quot;]]</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>conditions_mask_detector_footprint_r20m_b05</span></div><div class='xr-var-dims'>(conditions_mask_detector_footprint_r20m_y, conditions_mask_detector_footprint_r20m_x)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(915, 915), meta=np.ndarray&gt;</div><input id='attrs-b0fb65fc-cc60-4da6-8def-155351f72f02' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b0fb65fc-cc60-4da6-8def-155351f72f02' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a0fad98f-f4af-4f0d-9def-9a3cf189b853' class='xr-var-data-in' type='checkbox'><label for='data-a0fad98f-f4af-4f0d-9def-9a3cf189b853' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;dtype&#x27;: &#x27;&lt;u1&#x27;, &#x27;long_name&#x27;: &#x27;detector footprint mask provided in the final reference frame (ground geometry). 0 = no detector, 1-12 = detector 1-12&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u1</dd><dt><span>long_name :</span></dt><dd>detector footprint mask provided in the final reference frame (ground geometry). 0 = no detector, 1-12 = detector 1-12</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 7890240.0, 609780.0, 8000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32625</dd><dt><span>proj:shape :</span></dt><dd>[5490, 5490]</dd><dt><span>proj:transform :</span></dt><dd>[20.0, 0.0, 499980.0, 0.0, -20.0, 8000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 25N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,-33],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32625&quot;]]</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -16947,17 +16984,17 @@
        "                    <tr>\n",
        "                        <th> Bytes </th>\n",
        "                        <td> 28.74 MiB </td>\n",
-       "                        <td> 28.74 MiB </td>\n",
+       "                        <td> 817.60 kiB </td>\n",
        "                    </tr>\n",
        "                    \n",
        "                    <tr>\n",
        "                        <th> Shape </th>\n",
        "                        <td> (5490, 5490) </td>\n",
-       "                        <td> (5490, 5490) </td>\n",
+       "                        <td> (915, 915) </td>\n",
        "                    </tr>\n",
        "                    <tr>\n",
        "                        <th> Dask graph </th>\n",
-       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
+       "                        <td colspan=\"2\"> 36 chunks in 2 graph layers </td>\n",
        "                    </tr>\n",
        "                    <tr>\n",
        "                        <th> Data type </th>\n",
@@ -16971,10 +17008,20 @@
        "\n",
        "  <!-- Horizontal lines -->\n",
        "  <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n",
+       "  <line x1=\"0\" y1=\"20\" x2=\"120\" y2=\"20\" />\n",
+       "  <line x1=\"0\" y1=\"40\" x2=\"120\" y2=\"40\" />\n",
+       "  <line x1=\"0\" y1=\"60\" x2=\"120\" y2=\"60\" />\n",
+       "  <line x1=\"0\" y1=\"80\" x2=\"120\" y2=\"80\" />\n",
+       "  <line x1=\"0\" y1=\"100\" x2=\"120\" y2=\"100\" />\n",
        "  <line x1=\"0\" y1=\"120\" x2=\"120\" y2=\"120\" style=\"stroke-width:2\" />\n",
        "\n",
        "  <!-- Vertical lines -->\n",
        "  <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"120\" style=\"stroke-width:2\" />\n",
+       "  <line x1=\"20\" y1=\"0\" x2=\"20\" y2=\"120\" />\n",
+       "  <line x1=\"40\" y1=\"0\" x2=\"40\" y2=\"120\" />\n",
+       "  <line x1=\"60\" y1=\"0\" x2=\"60\" y2=\"120\" />\n",
+       "  <line x1=\"80\" y1=\"0\" x2=\"80\" y2=\"120\" />\n",
+       "  <line x1=\"100\" y1=\"0\" x2=\"100\" y2=\"120\" />\n",
        "  <line x1=\"120\" y1=\"0\" x2=\"120\" y2=\"120\" style=\"stroke-width:2\" />\n",
        "\n",
        "  <!-- Colored Rectangle -->\n",
@@ -16986,7 +17033,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>conditions_mask_detector_footprint_r20m_b06</span></div><div class='xr-var-dims'>(conditions_mask_detector_footprint_r20m_y, conditions_mask_detector_footprint_r20m_x)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(5490, 5490), meta=np.ndarray&gt;</div><input id='attrs-0149006a-c8a4-405b-9eaf-dabacb4d9f2b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0149006a-c8a4-405b-9eaf-dabacb4d9f2b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8681ab89-a704-4d23-914b-7b98a8c70fdd' class='xr-var-data-in' type='checkbox'><label for='data-8681ab89-a704-4d23-914b-7b98a8c70fdd' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;]}</dd><dt><span>dtype :</span></dt><dd>&lt;u1</dd><dt><span>long_name :</span></dt><dd>detector footprint mask provided in the final reference frame (ground geometry). 0 = no detector, 1-12 = detector 1-12</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 5190240.0, 609780.0, 5300040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32632</dd><dt><span>proj:shape :</span></dt><dd>[5490, 5490]</dd><dt><span>proj:transform :</span></dt><dd>[20.0, 0.0, 499980.0, 0.0, -20.0, 5300040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 32N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,9],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32632&quot;]]</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>conditions_mask_detector_footprint_r20m_b06</span></div><div class='xr-var-dims'>(conditions_mask_detector_footprint_r20m_y, conditions_mask_detector_footprint_r20m_x)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(915, 915), meta=np.ndarray&gt;</div><input id='attrs-e0cb692b-317a-4525-91c5-cb856d27d82d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e0cb692b-317a-4525-91c5-cb856d27d82d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6eb110be-1484-40b2-8761-7c6f2b4d0a4c' class='xr-var-data-in' type='checkbox'><label for='data-6eb110be-1484-40b2-8761-7c6f2b4d0a4c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;dtype&#x27;: &#x27;&lt;u1&#x27;, &#x27;long_name&#x27;: &#x27;detector footprint mask provided in the final reference frame (ground geometry). 0 = no detector, 1-12 = detector 1-12&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u1</dd><dt><span>long_name :</span></dt><dd>detector footprint mask provided in the final reference frame (ground geometry). 0 = no detector, 1-12 = detector 1-12</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 7890240.0, 609780.0, 8000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32625</dd><dt><span>proj:shape :</span></dt><dd>[5490, 5490]</dd><dt><span>proj:transform :</span></dt><dd>[20.0, 0.0, 499980.0, 0.0, -20.0, 8000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 25N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,-33],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32625&quot;]]</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -17002,17 +17049,17 @@
        "                    <tr>\n",
        "                        <th> Bytes </th>\n",
        "                        <td> 28.74 MiB </td>\n",
-       "                        <td> 28.74 MiB </td>\n",
+       "                        <td> 817.60 kiB </td>\n",
        "                    </tr>\n",
        "                    \n",
        "                    <tr>\n",
        "                        <th> Shape </th>\n",
        "                        <td> (5490, 5490) </td>\n",
-       "                        <td> (5490, 5490) </td>\n",
+       "                        <td> (915, 915) </td>\n",
        "                    </tr>\n",
        "                    <tr>\n",
        "                        <th> Dask graph </th>\n",
-       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
+       "                        <td colspan=\"2\"> 36 chunks in 2 graph layers </td>\n",
        "                    </tr>\n",
        "                    <tr>\n",
        "                        <th> Data type </th>\n",
@@ -17026,10 +17073,20 @@
        "\n",
        "  <!-- Horizontal lines -->\n",
        "  <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n",
+       "  <line x1=\"0\" y1=\"20\" x2=\"120\" y2=\"20\" />\n",
+       "  <line x1=\"0\" y1=\"40\" x2=\"120\" y2=\"40\" />\n",
+       "  <line x1=\"0\" y1=\"60\" x2=\"120\" y2=\"60\" />\n",
+       "  <line x1=\"0\" y1=\"80\" x2=\"120\" y2=\"80\" />\n",
+       "  <line x1=\"0\" y1=\"100\" x2=\"120\" y2=\"100\" />\n",
        "  <line x1=\"0\" y1=\"120\" x2=\"120\" y2=\"120\" style=\"stroke-width:2\" />\n",
        "\n",
        "  <!-- Vertical lines -->\n",
        "  <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"120\" style=\"stroke-width:2\" />\n",
+       "  <line x1=\"20\" y1=\"0\" x2=\"20\" y2=\"120\" />\n",
+       "  <line x1=\"40\" y1=\"0\" x2=\"40\" y2=\"120\" />\n",
+       "  <line x1=\"60\" y1=\"0\" x2=\"60\" y2=\"120\" />\n",
+       "  <line x1=\"80\" y1=\"0\" x2=\"80\" y2=\"120\" />\n",
+       "  <line x1=\"100\" y1=\"0\" x2=\"100\" y2=\"120\" />\n",
        "  <line x1=\"120\" y1=\"0\" x2=\"120\" y2=\"120\" style=\"stroke-width:2\" />\n",
        "\n",
        "  <!-- Colored Rectangle -->\n",
@@ -17041,7 +17098,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>conditions_mask_detector_footprint_r20m_b07</span></div><div class='xr-var-dims'>(conditions_mask_detector_footprint_r20m_y, conditions_mask_detector_footprint_r20m_x)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(5490, 5490), meta=np.ndarray&gt;</div><input id='attrs-d7802d28-9e29-445a-87fb-ba6f20e33108' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d7802d28-9e29-445a-87fb-ba6f20e33108' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4105d8b2-e093-4701-a465-4a03f09f42f3' class='xr-var-data-in' type='checkbox'><label for='data-4105d8b2-e093-4701-a465-4a03f09f42f3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;]}</dd><dt><span>dtype :</span></dt><dd>&lt;u1</dd><dt><span>long_name :</span></dt><dd>detector footprint mask provided in the final reference frame (ground geometry). 0 = no detector, 1-12 = detector 1-12</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 5190240.0, 609780.0, 5300040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32632</dd><dt><span>proj:shape :</span></dt><dd>[5490, 5490]</dd><dt><span>proj:transform :</span></dt><dd>[20.0, 0.0, 499980.0, 0.0, -20.0, 5300040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 32N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,9],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32632&quot;]]</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>conditions_mask_detector_footprint_r20m_b07</span></div><div class='xr-var-dims'>(conditions_mask_detector_footprint_r20m_y, conditions_mask_detector_footprint_r20m_x)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(915, 915), meta=np.ndarray&gt;</div><input id='attrs-42ac03d6-888f-44aa-9b9e-a37becce40d9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-42ac03d6-888f-44aa-9b9e-a37becce40d9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5dc3d792-0d27-47fa-ae32-a225f47d7e24' class='xr-var-data-in' type='checkbox'><label for='data-5dc3d792-0d27-47fa-ae32-a225f47d7e24' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;dtype&#x27;: &#x27;&lt;u1&#x27;, &#x27;long_name&#x27;: &#x27;detector footprint mask provided in the final reference frame (ground geometry). 0 = no detector, 1-12 = detector 1-12&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u1</dd><dt><span>long_name :</span></dt><dd>detector footprint mask provided in the final reference frame (ground geometry). 0 = no detector, 1-12 = detector 1-12</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 7890240.0, 609780.0, 8000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32625</dd><dt><span>proj:shape :</span></dt><dd>[5490, 5490]</dd><dt><span>proj:transform :</span></dt><dd>[20.0, 0.0, 499980.0, 0.0, -20.0, 8000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 25N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,-33],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32625&quot;]]</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
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@@ -17057,17 +17114,17 @@
        "                    <tr>\n",
        "                        <th> Bytes </th>\n",
        "                        <td> 28.74 MiB </td>\n",
-       "                        <td> 28.74 MiB </td>\n",
+       "                        <td> 817.60 kiB </td>\n",
        "                    </tr>\n",
        "                    \n",
        "                    <tr>\n",
        "                        <th> Shape </th>\n",
        "                        <td> (5490, 5490) </td>\n",
-       "                        <td> (5490, 5490) </td>\n",
+       "                        <td> (915, 915) </td>\n",
        "                    </tr>\n",
        "                    <tr>\n",
        "                        <th> Dask graph </th>\n",
-       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
+       "                        <td colspan=\"2\"> 36 chunks in 2 graph layers </td>\n",
        "                    </tr>\n",
        "                    <tr>\n",
        "                        <th> Data type </th>\n",
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        "\n",
        "  <!-- Vertical lines -->\n",
        "  <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"120\" style=\"stroke-width:2\" />\n",
+       "  <line x1=\"20\" y1=\"0\" x2=\"20\" y2=\"120\" />\n",
+       "  <line x1=\"40\" y1=\"0\" x2=\"40\" y2=\"120\" />\n",
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@@ -17096,7 +17163,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>conditions_mask_detector_footprint_r20m_b11</span></div><div class='xr-var-dims'>(conditions_mask_detector_footprint_r20m_y, conditions_mask_detector_footprint_r20m_x)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(5490, 5490), meta=np.ndarray&gt;</div><input id='attrs-780bc1b6-8112-443c-9df5-d2f662df16c0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-780bc1b6-8112-443c-9df5-d2f662df16c0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a7f01dbd-6af4-48c2-83ef-92545d476c01' class='xr-var-data-in' type='checkbox'><label for='data-a7f01dbd-6af4-48c2-83ef-92545d476c01' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;]}</dd><dt><span>dtype :</span></dt><dd>&lt;u1</dd><dt><span>long_name :</span></dt><dd>detector footprint mask provided in the final reference frame (ground geometry). 0 = no detector, 1-12 = detector 1-12</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 5190240.0, 609780.0, 5300040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32632</dd><dt><span>proj:shape :</span></dt><dd>[5490, 5490]</dd><dt><span>proj:transform :</span></dt><dd>[20.0, 0.0, 499980.0, 0.0, -20.0, 5300040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 32N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,9],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32632&quot;]]</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>conditions_mask_detector_footprint_r20m_b11</span></div><div class='xr-var-dims'>(conditions_mask_detector_footprint_r20m_y, conditions_mask_detector_footprint_r20m_x)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(915, 915), meta=np.ndarray&gt;</div><input id='attrs-036c2550-9403-496b-bc2e-ce05ae20d59d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-036c2550-9403-496b-bc2e-ce05ae20d59d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-347b0985-cec2-418a-9c4e-368882ff7cbf' class='xr-var-data-in' type='checkbox'><label for='data-347b0985-cec2-418a-9c4e-368882ff7cbf' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;dtype&#x27;: &#x27;&lt;u1&#x27;, &#x27;long_name&#x27;: &#x27;detector footprint mask provided in the final reference frame (ground geometry). 0 = no detector, 1-12 = detector 1-12&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u1</dd><dt><span>long_name :</span></dt><dd>detector footprint mask provided in the final reference frame (ground geometry). 0 = no detector, 1-12 = detector 1-12</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 7890240.0, 609780.0, 8000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32625</dd><dt><span>proj:shape :</span></dt><dd>[5490, 5490]</dd><dt><span>proj:transform :</span></dt><dd>[20.0, 0.0, 499980.0, 0.0, -20.0, 8000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 25N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,-33],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32625&quot;]]</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -17112,17 +17179,82 @@
        "                    <tr>\n",
        "                        <th> Bytes </th>\n",
        "                        <td> 28.74 MiB </td>\n",
-       "                        <td> 28.74 MiB </td>\n",
+       "                        <td> 817.60 kiB </td>\n",
        "                    </tr>\n",
        "                    \n",
        "                    <tr>\n",
        "                        <th> Shape </th>\n",
        "                        <td> (5490, 5490) </td>\n",
+       "                        <td> (915, 915) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 36 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> uint8 numpy.ndarray </td>\n",
+       "                    </tr>\n",
+       "                </tbody>\n",
+       "            </table>\n",
+       "        </td>\n",
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+       "</svg>\n",
+       "        </td>\n",
+       "    </tr>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>conditions_mask_detector_footprint_r20m_b12</span></div><div class='xr-var-dims'>(conditions_mask_detector_footprint_r20m_y, conditions_mask_detector_footprint_r20m_x)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(915, 915), meta=np.ndarray&gt;</div><input id='attrs-15bae88e-4646-4035-9cdb-564429f8d5f5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-15bae88e-4646-4035-9cdb-564429f8d5f5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1fcd17ba-6ecd-451d-8bd7-60c3dc3c9c8a' class='xr-var-data-in' type='checkbox'><label for='data-1fcd17ba-6ecd-451d-8bd7-60c3dc3c9c8a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;dtype&#x27;: &#x27;&lt;u1&#x27;, &#x27;long_name&#x27;: &#x27;detector footprint mask provided in the final reference frame (ground geometry). 0 = no detector, 1-12 = detector 1-12&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u1</dd><dt><span>long_name :</span></dt><dd>detector footprint mask provided in the final reference frame (ground geometry). 0 = no detector, 1-12 = detector 1-12</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 7890240.0, 609780.0, 8000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32625</dd><dt><span>proj:shape :</span></dt><dd>[5490, 5490]</dd><dt><span>proj:transform :</span></dt><dd>[20.0, 0.0, 499980.0, 0.0, -20.0, 8000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 25N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,-33],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32625&quot;]]</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 28.74 MiB </td>\n",
+       "                        <td> 817.60 kiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
        "                        <td> (5490, 5490) </td>\n",
+       "                        <td> (915, 915) </td>\n",
        "                    </tr>\n",
        "                    <tr>\n",
        "                        <th> Dask graph </th>\n",
-       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
+       "                        <td colspan=\"2\"> 36 chunks in 2 graph layers </td>\n",
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        "                        <th> Data type </th>\n",
@@ -17136,10 +17268,20 @@
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        "\n",
        "  <!-- Vertical lines -->\n",
        "  <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"120\" style=\"stroke-width:2\" />\n",
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@@ -17151,7 +17293,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>conditions_mask_detector_footprint_r20m_b12</span></div><div class='xr-var-dims'>(conditions_mask_detector_footprint_r20m_y, conditions_mask_detector_footprint_r20m_x)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(5490, 5490), meta=np.ndarray&gt;</div><input id='attrs-c1586b9b-7994-486e-9663-07c70cd54d6b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c1586b9b-7994-486e-9663-07c70cd54d6b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2e191ac1-bafa-4ef8-8820-c3019d797a12' class='xr-var-data-in' type='checkbox'><label for='data-2e191ac1-bafa-4ef8-8820-c3019d797a12' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;]}</dd><dt><span>dtype :</span></dt><dd>&lt;u1</dd><dt><span>long_name :</span></dt><dd>detector footprint mask provided in the final reference frame (ground geometry). 0 = no detector, 1-12 = detector 1-12</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 5190240.0, 609780.0, 5300040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32632</dd><dt><span>proj:shape :</span></dt><dd>[5490, 5490]</dd><dt><span>proj:transform :</span></dt><dd>[20.0, 0.0, 499980.0, 0.0, -20.0, 5300040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 32N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,9],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32632&quot;]]</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>conditions_mask_detector_footprint_r20m_b8a</span></div><div class='xr-var-dims'>(conditions_mask_detector_footprint_r20m_y, conditions_mask_detector_footprint_r20m_x)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(915, 915), meta=np.ndarray&gt;</div><input id='attrs-b3bc8241-5ff9-4993-954a-2ccf10fe5e63' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b3bc8241-5ff9-4993-954a-2ccf10fe5e63' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1f3b90be-23e7-4af0-9738-973c151e4e62' class='xr-var-data-in' type='checkbox'><label for='data-1f3b90be-23e7-4af0-9738-973c151e4e62' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;dtype&#x27;: &#x27;&lt;u1&#x27;, &#x27;long_name&#x27;: &#x27;detector footprint mask provided in the final reference frame (ground geometry). 0 = no detector, 1-12 = detector 1-12&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u1</dd><dt><span>long_name :</span></dt><dd>detector footprint mask provided in the final reference frame (ground geometry). 0 = no detector, 1-12 = detector 1-12</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 7890240.0, 609780.0, 8000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32625</dd><dt><span>proj:shape :</span></dt><dd>[5490, 5490]</dd><dt><span>proj:transform :</span></dt><dd>[20.0, 0.0, 499980.0, 0.0, -20.0, 8000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 25N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,-33],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32625&quot;]]</dd></dl></div><div class='xr-var-data'><table>\n",
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        "                        <th> Bytes </th>\n",
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-       "                    <tr>\n",
-       "                        <th> Dask graph </th>\n",
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-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th> Data type </th>\n",
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-       "        </td>\n",
-       "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>conditions_mask_detector_footprint_r20m_b8a</span></div><div class='xr-var-dims'>(conditions_mask_detector_footprint_r20m_y, conditions_mask_detector_footprint_r20m_x)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(5490, 5490), meta=np.ndarray&gt;</div><input id='attrs-ab4187a0-e0cc-4f56-a63a-0e9328bd495d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ab4187a0-e0cc-4f56-a63a-0e9328bd495d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f69c80d2-ce50-4c02-9ee5-f467b8f31483' class='xr-var-data-in' type='checkbox'><label for='data-f69c80d2-ce50-4c02-9ee5-f467b8f31483' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;]}</dd><dt><span>dtype :</span></dt><dd>&lt;u1</dd><dt><span>long_name :</span></dt><dd>detector footprint mask provided in the final reference frame (ground geometry). 0 = no detector, 1-12 = detector 1-12</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 5190240.0, 609780.0, 5300040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32632</dd><dt><span>proj:shape :</span></dt><dd>[5490, 5490]</dd><dt><span>proj:transform :</span></dt><dd>[20.0, 0.0, 499980.0, 0.0, -20.0, 5300040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 32N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,9],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32632&quot;]]</dd></dl></div><div class='xr-var-data'><table>\n",
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-       "                        <td> 28.74 MiB </td>\n",
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        "                    </tr>\n",
        "                    <tr>\n",
        "                        <th> Dask graph </th>\n",
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-       "  <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"120\" style=\"stroke-width:2\" />\n",
-       "  <line x1=\"120\" y1=\"0\" x2=\"120\" y2=\"120\" style=\"stroke-width:2\" />\n",
-       "\n",
-       "  <!-- Colored Rectangle -->\n",
-       "  <polygon points=\"0.0,0.0 120.0,0.0 120.0,120.0 0.0,120.0\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
-       "\n",
-       "  <!-- Text -->\n",
-       "  <text x=\"60.000000\" y=\"140.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >1830</text>\n",
-       "  <text x=\"140.000000\" y=\"60.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,140.000000,60.000000)\">1830</text>\n",
-       "</svg>\n",
-       "        </td>\n",
-       "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>conditions_mask_detector_footprint_r60m_b09</span></div><div class='xr-var-dims'>(conditions_mask_detector_footprint_r60m_y, conditions_mask_detector_footprint_r60m_x)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1830, 1830), meta=np.ndarray&gt;</div><input id='attrs-e948adf5-c407-4771-bd5b-8517bd73d9f8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e948adf5-c407-4771-bd5b-8517bd73d9f8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2c4a03aa-6584-479f-9b65-95ba6e943519' class='xr-var-data-in' type='checkbox'><label for='data-2c4a03aa-6584-479f-9b65-95ba6e943519' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;]}</dd><dt><span>dtype :</span></dt><dd>&lt;u1</dd><dt><span>long_name :</span></dt><dd>detector footprint mask provided in the final reference frame (ground geometry). 0 = no detector, 1-12 = detector 1-12</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 5190240.0, 609780.0, 5300040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32632</dd><dt><span>proj:shape :</span></dt><dd>[1830, 1830]</dd><dt><span>proj:transform :</span></dt><dd>[60.0, 0.0, 499980.0, 0.0, -60.0, 5300040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 32N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,9],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32632&quot;]]</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>conditions_mask_detector_footprint_r60m_b01</span></div><div class='xr-var-dims'>(conditions_mask_detector_footprint_r60m_y, conditions_mask_detector_footprint_r60m_x)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(305, 305), meta=np.ndarray&gt;</div><input id='attrs-61a24072-4a70-494c-8f40-c806503b3c47' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-61a24072-4a70-494c-8f40-c806503b3c47' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ac87923b-2b35-422e-8771-aa829f297276' class='xr-var-data-in' type='checkbox'><label for='data-ac87923b-2b35-422e-8771-aa829f297276' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;dtype&#x27;: &#x27;&lt;u1&#x27;, &#x27;long_name&#x27;: &#x27;detector footprint mask provided in the final reference frame (ground geometry). 0 = no detector, 1-12 = detector 1-12&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u1</dd><dt><span>long_name :</span></dt><dd>detector footprint mask provided in the final reference frame (ground geometry). 0 = no detector, 1-12 = detector 1-12</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 7890240.0, 609780.0, 8000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32625</dd><dt><span>proj:shape :</span></dt><dd>[1830, 1830]</dd><dt><span>proj:transform :</span></dt><dd>[60.0, 0.0, 499980.0, 0.0, -60.0, 8000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 25N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,-33],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32625&quot;]]</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -17332,17 +17374,17 @@
        "                    <tr>\n",
        "                        <th> Bytes </th>\n",
        "                        <td> 3.19 MiB </td>\n",
-       "                        <td> 3.19 MiB </td>\n",
+       "                        <td> 90.84 kiB </td>\n",
        "                    </tr>\n",
        "                    \n",
        "                    <tr>\n",
        "                        <th> Shape </th>\n",
        "                        <td> (1830, 1830) </td>\n",
-       "                        <td> (1830, 1830) </td>\n",
+       "                        <td> (305, 305) </td>\n",
        "                    </tr>\n",
        "                    <tr>\n",
        "                        <th> Dask graph </th>\n",
-       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
+       "                        <td colspan=\"2\"> 36 chunks in 2 graph layers </td>\n",
        "                    </tr>\n",
        "                    <tr>\n",
        "                        <th> Data type </th>\n",
@@ -17356,10 +17398,20 @@
        "\n",
        "  <!-- Horizontal lines -->\n",
        "  <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n",
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        "  <line x1=\"0\" y1=\"120\" x2=\"120\" y2=\"120\" style=\"stroke-width:2\" />\n",
        "\n",
        "  <!-- Vertical lines -->\n",
        "  <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"120\" style=\"stroke-width:2\" />\n",
+       "  <line x1=\"20\" y1=\"0\" x2=\"20\" y2=\"120\" />\n",
+       "  <line x1=\"40\" y1=\"0\" x2=\"40\" y2=\"120\" />\n",
+       "  <line x1=\"60\" y1=\"0\" x2=\"60\" y2=\"120\" />\n",
+       "  <line x1=\"80\" y1=\"0\" x2=\"80\" y2=\"120\" />\n",
+       "  <line x1=\"100\" y1=\"0\" x2=\"100\" y2=\"120\" />\n",
        "  <line x1=\"120\" y1=\"0\" x2=\"120\" y2=\"120\" style=\"stroke-width:2\" />\n",
        "\n",
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@@ -17371,7 +17423,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>conditions_mask_detector_footprint_r60m_b10</span></div><div class='xr-var-dims'>(conditions_mask_detector_footprint_r60m_y, conditions_mask_detector_footprint_r60m_x)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1830, 1830), meta=np.ndarray&gt;</div><input id='attrs-c5f2fb0d-a7b3-49ea-b9db-49cb2e383b16' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c5f2fb0d-a7b3-49ea-b9db-49cb2e383b16' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-53686b74-455a-4192-95ef-779ac8abaf68' class='xr-var-data-in' type='checkbox'><label for='data-53686b74-455a-4192-95ef-779ac8abaf68' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;]}</dd><dt><span>dtype :</span></dt><dd>&lt;u1</dd><dt><span>long_name :</span></dt><dd>detector footprint mask provided in the final reference frame (ground geometry). 0 = no detector, 1-12 = detector 1-12</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 5190240.0, 609780.0, 5300040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32632</dd><dt><span>proj:shape :</span></dt><dd>[1830, 1830]</dd><dt><span>proj:transform :</span></dt><dd>[60.0, 0.0, 499980.0, 0.0, -60.0, 5300040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 32N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,9],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32632&quot;]]</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>conditions_mask_detector_footprint_r60m_b09</span></div><div class='xr-var-dims'>(conditions_mask_detector_footprint_r60m_y, conditions_mask_detector_footprint_r60m_x)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(305, 305), meta=np.ndarray&gt;</div><input id='attrs-1776ac61-1de7-4416-b319-241e6d7dacd2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1776ac61-1de7-4416-b319-241e6d7dacd2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-411d71b0-2617-41bf-88b3-af01130c24e2' class='xr-var-data-in' type='checkbox'><label for='data-411d71b0-2617-41bf-88b3-af01130c24e2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;dtype&#x27;: &#x27;&lt;u1&#x27;, &#x27;long_name&#x27;: &#x27;detector footprint mask provided in the final reference frame (ground geometry). 0 = no detector, 1-12 = detector 1-12&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u1</dd><dt><span>long_name :</span></dt><dd>detector footprint mask provided in the final reference frame (ground geometry). 0 = no detector, 1-12 = detector 1-12</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 7890240.0, 609780.0, 8000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32625</dd><dt><span>proj:shape :</span></dt><dd>[1830, 1830]</dd><dt><span>proj:transform :</span></dt><dd>[60.0, 0.0, 499980.0, 0.0, -60.0, 8000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 25N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,-33],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32625&quot;]]</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -17387,17 +17439,17 @@
        "                    <tr>\n",
        "                        <th> Bytes </th>\n",
        "                        <td> 3.19 MiB </td>\n",
-       "                        <td> 3.19 MiB </td>\n",
+       "                        <td> 90.84 kiB </td>\n",
        "                    </tr>\n",
        "                    \n",
        "                    <tr>\n",
        "                        <th> Shape </th>\n",
        "                        <td> (1830, 1830) </td>\n",
-       "                        <td> (1830, 1830) </td>\n",
+       "                        <td> (305, 305) </td>\n",
        "                    </tr>\n",
        "                    <tr>\n",
        "                        <th> Dask graph </th>\n",
-       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
+       "                        <td colspan=\"2\"> 36 chunks in 2 graph layers </td>\n",
        "                    </tr>\n",
        "                    <tr>\n",
        "                        <th> Data type </th>\n",
@@ -17411,10 +17463,20 @@
        "\n",
        "  <!-- Horizontal lines -->\n",
        "  <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n",
+       "  <line x1=\"0\" y1=\"20\" x2=\"120\" y2=\"20\" />\n",
+       "  <line x1=\"0\" y1=\"40\" x2=\"120\" y2=\"40\" />\n",
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        "  <line x1=\"0\" y1=\"120\" x2=\"120\" y2=\"120\" style=\"stroke-width:2\" />\n",
        "\n",
        "  <!-- Vertical lines -->\n",
        "  <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"120\" style=\"stroke-width:2\" />\n",
+       "  <line x1=\"20\" y1=\"0\" x2=\"20\" y2=\"120\" />\n",
+       "  <line x1=\"40\" y1=\"0\" x2=\"40\" y2=\"120\" />\n",
+       "  <line x1=\"60\" y1=\"0\" x2=\"60\" y2=\"120\" />\n",
+       "  <line x1=\"80\" y1=\"0\" x2=\"80\" y2=\"120\" />\n",
+       "  <line x1=\"100\" y1=\"0\" x2=\"100\" y2=\"120\" />\n",
        "  <line x1=\"120\" y1=\"0\" x2=\"120\" y2=\"120\" style=\"stroke-width:2\" />\n",
        "\n",
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@@ -17426,7 +17488,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>conditions_mask_l1c_classification_b00</span></div><div class='xr-var-dims'>(conditions_mask_l1c_classification_y, conditions_mask_l1c_classification_x)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1830, 1830), meta=np.ndarray&gt;</div><input id='attrs-2ad7ff2b-278b-457e-9efd-ad0215690b61' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2ad7ff2b-278b-457e-9efd-ad0215690b61' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f33406f9-bb2c-40b3-8c3a-e582ad14e2bb' class='xr-var-data-in' type='checkbox'><label for='data-f33406f9-bb2c-40b3-8c3a-e582ad14e2bb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;flag_masks&#x27;: [1, 2, 4], &#x27;flag_meanings&#x27;: [&#x27;OPAQUE&#x27;, &#x27;CIRRUS&#x27;, &#x27;SNOW_ICE&#x27;]}</dd><dt><span>dtype :</span></dt><dd>&lt;u1</dd><dt><span>flag_masks :</span></dt><dd>[1, 2, 4]</dd><dt><span>flag_meanings :</span></dt><dd>[&#x27;OPAQUE&#x27;, &#x27;CIRRUS&#x27;, &#x27;SNOW_ICE&#x27;]</dd><dt><span>long_name :</span></dt><dd>cloud classification mask provided in the final reference frame (ground geometry)</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 5190240.0, 609780.0, 5300040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32632</dd><dt><span>proj:shape :</span></dt><dd>[1830, 1830]</dd><dt><span>proj:transform :</span></dt><dd>[60.0, 0.0, 499980.0, 0.0, -60.0, 5300040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 32N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,9],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32632&quot;]]</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>conditions_mask_detector_footprint_r60m_b10</span></div><div class='xr-var-dims'>(conditions_mask_detector_footprint_r60m_y, conditions_mask_detector_footprint_r60m_x)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(305, 305), meta=np.ndarray&gt;</div><input id='attrs-cb2eb888-7584-49ba-840c-2065bd21922f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cb2eb888-7584-49ba-840c-2065bd21922f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4784ad60-1818-412e-9e63-6448e4fe1bbe' class='xr-var-data-in' type='checkbox'><label for='data-4784ad60-1818-412e-9e63-6448e4fe1bbe' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;dtype&#x27;: &#x27;&lt;u1&#x27;, &#x27;long_name&#x27;: &#x27;detector footprint mask provided in the final reference frame (ground geometry). 0 = no detector, 1-12 = detector 1-12&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u1</dd><dt><span>long_name :</span></dt><dd>detector footprint mask provided in the final reference frame (ground geometry). 0 = no detector, 1-12 = detector 1-12</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 7890240.0, 609780.0, 8000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32625</dd><dt><span>proj:shape :</span></dt><dd>[1830, 1830]</dd><dt><span>proj:transform :</span></dt><dd>[60.0, 0.0, 499980.0, 0.0, -60.0, 8000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 25N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,-33],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32625&quot;]]</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -17442,17 +17504,17 @@
        "                    <tr>\n",
        "                        <th> Bytes </th>\n",
        "                        <td> 3.19 MiB </td>\n",
-       "                        <td> 3.19 MiB </td>\n",
+       "                        <td> 90.84 kiB </td>\n",
        "                    </tr>\n",
        "                    \n",
        "                    <tr>\n",
        "                        <th> Shape </th>\n",
        "                        <td> (1830, 1830) </td>\n",
-       "                        <td> (1830, 1830) </td>\n",
+       "                        <td> (305, 305) </td>\n",
        "                    </tr>\n",
        "                    <tr>\n",
        "                        <th> Dask graph </th>\n",
-       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
+       "                        <td colspan=\"2\"> 36 chunks in 2 graph layers </td>\n",
        "                    </tr>\n",
        "                    <tr>\n",
        "                        <th> Data type </th>\n",
@@ -17466,10 +17528,20 @@
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        "\n",
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@@ -17481,62 +17553,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>conditions_mask_l2a_classification_r20m_scl</span></div><div class='xr-var-dims'>(conditions_mask_l2a_classification_r20m_y, conditions_mask_l2a_classification_r20m_x)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(5490, 5490), meta=np.ndarray&gt;</div><input id='attrs-69a0397a-b7fd-4262-aa2e-a52764463cf0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-69a0397a-b7fd-4262-aa2e-a52764463cf0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a8ee420e-6e16-4984-87bd-dadd316309d0' class='xr-var-data-in' type='checkbox'><label for='data-a8ee420e-6e16-4984-87bd-dadd316309d0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;]}</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 5190240.0, 609780.0, 5300040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32632</dd><dt><span>proj:shape :</span></dt><dd>[5490, 5490]</dd><dt><span>proj:transform :</span></dt><dd>[20.0, 0.0, 499980.0, 0.0, -20.0, 5300040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 32N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,9],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32632&quot;]]</dd></dl></div><div class='xr-var-data'><table>\n",
-       "    <tr>\n",
-       "        <td>\n",
-       "            <table style=\"border-collapse: collapse;\">\n",
-       "                <thead>\n",
-       "                    <tr>\n",
-       "                        <td> </td>\n",
-       "                        <th> Array </th>\n",
-       "                        <th> Chunk </th>\n",
-       "                    </tr>\n",
-       "                </thead>\n",
-       "                <tbody>\n",
-       "                    \n",
-       "                    <tr>\n",
-       "                        <th> Bytes </th>\n",
-       "                        <td> 28.74 MiB </td>\n",
-       "                        <td> 28.74 MiB </td>\n",
-       "                    </tr>\n",
-       "                    \n",
-       "                    <tr>\n",
-       "                        <th> Shape </th>\n",
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-       "                        <td> (5490, 5490) </td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th> Dask graph </th>\n",
-       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th> Data type </th>\n",
-       "                        <td colspan=\"2\"> uint8 numpy.ndarray </td>\n",
-       "                    </tr>\n",
-       "                </tbody>\n",
-       "            </table>\n",
-       "        </td>\n",
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-       "        <svg width=\"170\" height=\"170\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
-       "\n",
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-       "\n",
-       "  <!-- Vertical lines -->\n",
-       "  <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"120\" style=\"stroke-width:2\" />\n",
-       "  <line x1=\"120\" y1=\"0\" x2=\"120\" y2=\"120\" style=\"stroke-width:2\" />\n",
-       "\n",
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-       "</svg>\n",
-       "        </td>\n",
-       "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>conditions_mask_l2a_classification_r60m_scl</span></div><div class='xr-var-dims'>(conditions_mask_l2a_classification_r60m_y, conditions_mask_l2a_classification_r60m_x)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1830, 1830), meta=np.ndarray&gt;</div><input id='attrs-40265da2-5a00-4fc5-be41-e1d271c82b23' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-40265da2-5a00-4fc5-be41-e1d271c82b23' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-66addea9-e209-45f6-8256-53a879ba2bc3' class='xr-var-data-in' type='checkbox'><label for='data-66addea9-e209-45f6-8256-53a879ba2bc3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;]}</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 5190240.0, 609780.0, 5300040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32632</dd><dt><span>proj:shape :</span></dt><dd>[1830, 1830]</dd><dt><span>proj:transform :</span></dt><dd>[60.0, 0.0, 499980.0, 0.0, -60.0, 5300040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 32N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,9],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32632&quot;]]</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>conditions_mask_l1c_classification_b00</span></div><div class='xr-var-dims'>(conditions_mask_l1c_classification_y, conditions_mask_l1c_classification_x)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(305, 305), meta=np.ndarray&gt;</div><input id='attrs-736030f4-37f9-4dfb-aad8-2ad258fcf3aa' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-736030f4-37f9-4dfb-aad8-2ad258fcf3aa' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-11872527-16bf-4f17-ac8c-74efa58490ce' class='xr-var-data-in' type='checkbox'><label for='data-11872527-16bf-4f17-ac8c-74efa58490ce' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;dtype&#x27;: &#x27;&lt;u1&#x27;, &#x27;flag_masks&#x27;: [1, 2, 4], &#x27;flag_meanings&#x27;: [&#x27;OPAQUE&#x27;, &#x27;CIRRUS&#x27;, &#x27;SNOW_ICE&#x27;], &#x27;long_name&#x27;: &#x27;cloud classification mask provided in the final reference frame (ground geometry)&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u1</dd><dt><span>flag_masks :</span></dt><dd>[1, 2, 4]</dd><dt><span>flag_meanings :</span></dt><dd>[&#x27;OPAQUE&#x27;, &#x27;CIRRUS&#x27;, &#x27;SNOW_ICE&#x27;]</dd><dt><span>long_name :</span></dt><dd>cloud classification mask provided in the final reference frame (ground geometry)</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 7890240.0, 609780.0, 8000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32625</dd><dt><span>proj:shape :</span></dt><dd>[1830, 1830]</dd><dt><span>proj:transform :</span></dt><dd>[60.0, 0.0, 499980.0, 0.0, -60.0, 8000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 25N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,-33],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32625&quot;]]</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -17552,17 +17569,17 @@
        "                    <tr>\n",
        "                        <th> Bytes </th>\n",
        "                        <td> 3.19 MiB </td>\n",
-       "                        <td> 3.19 MiB </td>\n",
+       "                        <td> 90.84 kiB </td>\n",
        "                    </tr>\n",
        "                    \n",
        "                    <tr>\n",
        "                        <th> Shape </th>\n",
        "                        <td> (1830, 1830) </td>\n",
-       "                        <td> (1830, 1830) </td>\n",
+       "                        <td> (305, 305) </td>\n",
        "                    </tr>\n",
        "                    <tr>\n",
        "                        <th> Dask graph </th>\n",
-       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
+       "                        <td colspan=\"2\"> 36 chunks in 2 graph layers </td>\n",
        "                    </tr>\n",
        "                    <tr>\n",
        "                        <th> Data type </th>\n",
@@ -17576,10 +17593,20 @@
        "\n",
        "  <!-- Horizontal lines -->\n",
        "  <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n",
+       "  <line x1=\"0\" y1=\"20\" x2=\"120\" y2=\"20\" />\n",
+       "  <line x1=\"0\" y1=\"40\" x2=\"120\" y2=\"40\" />\n",
+       "  <line x1=\"0\" y1=\"60\" x2=\"120\" y2=\"60\" />\n",
+       "  <line x1=\"0\" y1=\"80\" x2=\"120\" y2=\"80\" />\n",
+       "  <line x1=\"0\" y1=\"100\" x2=\"120\" y2=\"100\" />\n",
        "  <line x1=\"0\" y1=\"120\" x2=\"120\" y2=\"120\" style=\"stroke-width:2\" />\n",
        "\n",
        "  <!-- Vertical lines -->\n",
        "  <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"120\" style=\"stroke-width:2\" />\n",
+       "  <line x1=\"20\" y1=\"0\" x2=\"20\" y2=\"120\" />\n",
+       "  <line x1=\"40\" y1=\"0\" x2=\"40\" y2=\"120\" />\n",
+       "  <line x1=\"60\" y1=\"0\" x2=\"60\" y2=\"120\" />\n",
+       "  <line x1=\"80\" y1=\"0\" x2=\"80\" y2=\"120\" />\n",
+       "  <line x1=\"100\" y1=\"0\" x2=\"100\" y2=\"120\" />\n",
        "  <line x1=\"120\" y1=\"0\" x2=\"120\" y2=\"120\" style=\"stroke-width:2\" />\n",
        "\n",
        "  <!-- Colored Rectangle -->\n",
@@ -17591,7 +17618,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>conditions_meteorology_cams_aod1240</span></div><div class='xr-var-dims'>(conditions_meteorology_cams_latitude, conditions_meteorology_cams_longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9, 9), meta=np.ndarray&gt;</div><input id='attrs-05bfa4a2-0401-43c2-8770-1a53063ecbc7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-05bfa4a2-0401-43c2-8770-1a53063ecbc7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a3a16d13-1ce5-43f2-8421-1c34e5e78579' class='xr-var-data-in' type='checkbox'><label for='data-a3a16d13-1ce5-43f2-8421-1c34e5e78579' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>9</dd><dt><span>GRIB_Ny :</span></dt><dd>9</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>aod1240</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.18</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.125</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>47.854</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>46.857</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>9.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>10.44</dd><dt><span>GRIB_missingValue :</span></dt><dd>3.4028234663852886e+38</dd><dt><span>GRIB_name :</span></dt><dd>Total Aerosol Optical Depth at 1240nm</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>81</dd><dt><span>GRIB_paramId :</span></dt><dd>210216</dd><dt><span>GRIB_shortName :</span></dt><dd>aod1240</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>0</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>~</dd><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;number&#x27;, &#x27;time&#x27;, &#x27;step&#x27;, &#x27;surface&#x27;, &#x27;latitude&#x27;, &#x27;longitude&#x27;, &#x27;valid_time&#x27;, &#x27;isobaricInhPa&#x27;], &#x27;dimensions&#x27;: [&#x27;latitude&#x27;, &#x27;longitude&#x27;], &#x27;units&#x27;: &#x27;~&#x27;}</dd><dt><span>long_name :</span></dt><dd>Total Aerosol Optical Depth at 1240nm</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>~</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>conditions_meteorology_cams_aod1240</span></div><div class='xr-var-dims'>(conditions_meteorology_cams_latitude, conditions_meteorology_cams_longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9, 9), meta=np.ndarray&gt;</div><input id='attrs-10036a84-52aa-47f2-8acf-b93b79750604' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-10036a84-52aa-47f2-8acf-b93b79750604' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a00b2591-b48d-4fa5-98c8-c46400a3787d' class='xr-var-data-in' type='checkbox'><label for='data-a00b2591-b48d-4fa5-98c8-c46400a3787d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>9</dd><dt><span>GRIB_Ny :</span></dt><dd>9</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>aod1240</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.38</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.126</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>72.1</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>71.09</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-33.001</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-29.964</dd><dt><span>GRIB_missingValue :</span></dt><dd>3.4028234663852886e+38</dd><dt><span>GRIB_name :</span></dt><dd>Total Aerosol Optical Depth at 1240nm</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>81</dd><dt><span>GRIB_paramId :</span></dt><dd>210216</dd><dt><span>GRIB_shortName :</span></dt><dd>aod1240</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>0</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>~</dd><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;number&#x27;, &#x27;time&#x27;, &#x27;step&#x27;, &#x27;surface&#x27;, &#x27;latitude&#x27;, &#x27;longitude&#x27;, &#x27;valid_time&#x27;, &#x27;isobaricInhPa&#x27;], &#x27;dimensions&#x27;: [&#x27;latitude&#x27;, &#x27;longitude&#x27;], &#x27;long_name&#x27;: &#x27;Total Aerosol Optical Depth at 1240nm&#x27;, &#x27;standard_name&#x27;: &#x27;unknown&#x27;, &#x27;units&#x27;: &#x27;~&#x27;}</dd><dt><span>long_name :</span></dt><dd>Total Aerosol Optical Depth at 1240nm</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>~</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -17646,7 +17673,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>conditions_meteorology_cams_aod469</span></div><div class='xr-var-dims'>(conditions_meteorology_cams_latitude, conditions_meteorology_cams_longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9, 9), meta=np.ndarray&gt;</div><input id='attrs-92e0d636-37d7-43d4-9f4b-ae71b633d3a4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-92e0d636-37d7-43d4-9f4b-ae71b633d3a4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-eadf05bc-1370-41cc-927d-7292aa56ee4a' class='xr-var-data-in' type='checkbox'><label for='data-eadf05bc-1370-41cc-927d-7292aa56ee4a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>9</dd><dt><span>GRIB_Ny :</span></dt><dd>9</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>aod469</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.18</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.125</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>47.854</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>46.857</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>9.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>10.44</dd><dt><span>GRIB_missingValue :</span></dt><dd>3.4028234663852886e+38</dd><dt><span>GRIB_name :</span></dt><dd>Total Aerosol Optical Depth at 469nm</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>81</dd><dt><span>GRIB_paramId :</span></dt><dd>210213</dd><dt><span>GRIB_shortName :</span></dt><dd>aod469</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>0</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>~</dd><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;number&#x27;, &#x27;time&#x27;, &#x27;step&#x27;, &#x27;surface&#x27;, &#x27;latitude&#x27;, &#x27;longitude&#x27;, &#x27;valid_time&#x27;, &#x27;isobaricInhPa&#x27;], &#x27;dimensions&#x27;: [&#x27;latitude&#x27;, &#x27;longitude&#x27;], &#x27;units&#x27;: &#x27;~&#x27;}</dd><dt><span>long_name :</span></dt><dd>Total Aerosol Optical Depth at 469nm</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>~</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>conditions_meteorology_cams_aod469</span></div><div class='xr-var-dims'>(conditions_meteorology_cams_latitude, conditions_meteorology_cams_longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9, 9), meta=np.ndarray&gt;</div><input id='attrs-90034cee-a3ed-4bf5-9905-496c1288463a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-90034cee-a3ed-4bf5-9905-496c1288463a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-de98dc56-22da-4924-8975-a29de0cd5c6d' class='xr-var-data-in' type='checkbox'><label for='data-de98dc56-22da-4924-8975-a29de0cd5c6d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>9</dd><dt><span>GRIB_Ny :</span></dt><dd>9</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>aod469</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.38</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.126</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>72.1</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>71.09</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-33.001</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-29.964</dd><dt><span>GRIB_missingValue :</span></dt><dd>3.4028234663852886e+38</dd><dt><span>GRIB_name :</span></dt><dd>Total Aerosol Optical Depth at 469nm</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>81</dd><dt><span>GRIB_paramId :</span></dt><dd>210213</dd><dt><span>GRIB_shortName :</span></dt><dd>aod469</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>0</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>~</dd><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;number&#x27;, &#x27;time&#x27;, &#x27;step&#x27;, &#x27;surface&#x27;, &#x27;latitude&#x27;, &#x27;longitude&#x27;, &#x27;valid_time&#x27;, &#x27;isobaricInhPa&#x27;], &#x27;dimensions&#x27;: [&#x27;latitude&#x27;, &#x27;longitude&#x27;], &#x27;long_name&#x27;: &#x27;Total Aerosol Optical Depth at 469nm&#x27;, &#x27;standard_name&#x27;: &#x27;unknown&#x27;, &#x27;units&#x27;: &#x27;~&#x27;}</dd><dt><span>long_name :</span></dt><dd>Total Aerosol Optical Depth at 469nm</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>~</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -17701,7 +17728,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>conditions_meteorology_cams_aod550</span></div><div class='xr-var-dims'>(conditions_meteorology_cams_latitude, conditions_meteorology_cams_longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9, 9), meta=np.ndarray&gt;</div><input id='attrs-74b5b8d3-f9ce-4f2b-b6d6-62fd264b8ac3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-74b5b8d3-f9ce-4f2b-b6d6-62fd264b8ac3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-60b6c3cd-4531-41ba-8f86-0065a421ca64' class='xr-var-data-in' type='checkbox'><label for='data-60b6c3cd-4531-41ba-8f86-0065a421ca64' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>9</dd><dt><span>GRIB_Ny :</span></dt><dd>9</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>aod550</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.18</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.125</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>47.854</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>46.857</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>9.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>10.44</dd><dt><span>GRIB_missingValue :</span></dt><dd>3.4028234663852886e+38</dd><dt><span>GRIB_name :</span></dt><dd>Total Aerosol Optical Depth at 550nm</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>81</dd><dt><span>GRIB_paramId :</span></dt><dd>210207</dd><dt><span>GRIB_shortName :</span></dt><dd>aod550</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>0</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>~</dd><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;number&#x27;, &#x27;time&#x27;, &#x27;step&#x27;, &#x27;surface&#x27;, &#x27;latitude&#x27;, &#x27;longitude&#x27;, &#x27;valid_time&#x27;, &#x27;isobaricInhPa&#x27;], &#x27;dimensions&#x27;: [&#x27;latitude&#x27;, &#x27;longitude&#x27;], &#x27;units&#x27;: &#x27;~&#x27;}</dd><dt><span>long_name :</span></dt><dd>Total Aerosol Optical Depth at 550nm</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>~</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>conditions_meteorology_cams_aod550</span></div><div class='xr-var-dims'>(conditions_meteorology_cams_latitude, conditions_meteorology_cams_longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9, 9), meta=np.ndarray&gt;</div><input id='attrs-bf2b6b32-0544-4ccb-b0f5-6efd03886ae8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bf2b6b32-0544-4ccb-b0f5-6efd03886ae8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-84f616e6-d046-47ef-be89-10b1520cd5c9' class='xr-var-data-in' type='checkbox'><label for='data-84f616e6-d046-47ef-be89-10b1520cd5c9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>9</dd><dt><span>GRIB_Ny :</span></dt><dd>9</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>aod550</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.38</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.126</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>72.1</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>71.09</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-33.001</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-29.964</dd><dt><span>GRIB_missingValue :</span></dt><dd>3.4028234663852886e+38</dd><dt><span>GRIB_name :</span></dt><dd>Total Aerosol Optical Depth at 550nm</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>81</dd><dt><span>GRIB_paramId :</span></dt><dd>210207</dd><dt><span>GRIB_shortName :</span></dt><dd>aod550</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>0</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>~</dd><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;number&#x27;, &#x27;time&#x27;, &#x27;step&#x27;, &#x27;surface&#x27;, &#x27;latitude&#x27;, &#x27;longitude&#x27;, &#x27;valid_time&#x27;, &#x27;isobaricInhPa&#x27;], &#x27;dimensions&#x27;: [&#x27;latitude&#x27;, &#x27;longitude&#x27;], &#x27;long_name&#x27;: &#x27;Total Aerosol Optical Depth at 550nm&#x27;, &#x27;standard_name&#x27;: &#x27;unknown&#x27;, &#x27;units&#x27;: &#x27;~&#x27;}</dd><dt><span>long_name :</span></dt><dd>Total Aerosol Optical Depth at 550nm</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>~</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -17756,7 +17783,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>conditions_meteorology_cams_aod670</span></div><div class='xr-var-dims'>(conditions_meteorology_cams_latitude, conditions_meteorology_cams_longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9, 9), meta=np.ndarray&gt;</div><input id='attrs-1f3561da-153a-4540-93c6-d4a1d182a185' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1f3561da-153a-4540-93c6-d4a1d182a185' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-03a046f9-74ec-4720-b5a8-e0f31bb9a46e' class='xr-var-data-in' type='checkbox'><label for='data-03a046f9-74ec-4720-b5a8-e0f31bb9a46e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>9</dd><dt><span>GRIB_Ny :</span></dt><dd>9</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>aod670</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.18</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.125</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>47.854</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>46.857</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>9.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>10.44</dd><dt><span>GRIB_missingValue :</span></dt><dd>3.4028234663852886e+38</dd><dt><span>GRIB_name :</span></dt><dd>Total Aerosol Optical Depth at 670nm</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>81</dd><dt><span>GRIB_paramId :</span></dt><dd>210214</dd><dt><span>GRIB_shortName :</span></dt><dd>aod670</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>0</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>~</dd><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;number&#x27;, &#x27;time&#x27;, &#x27;step&#x27;, &#x27;surface&#x27;, &#x27;latitude&#x27;, &#x27;longitude&#x27;, &#x27;valid_time&#x27;, &#x27;isobaricInhPa&#x27;], &#x27;dimensions&#x27;: [&#x27;latitude&#x27;, &#x27;longitude&#x27;], &#x27;units&#x27;: &#x27;~&#x27;}</dd><dt><span>long_name :</span></dt><dd>Total Aerosol Optical Depth at 670nm</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>~</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>conditions_meteorology_cams_aod670</span></div><div class='xr-var-dims'>(conditions_meteorology_cams_latitude, conditions_meteorology_cams_longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9, 9), meta=np.ndarray&gt;</div><input id='attrs-5c9729fa-ef14-4e94-8221-5093aefaed65' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5c9729fa-ef14-4e94-8221-5093aefaed65' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ed47f771-462c-4a52-82f2-89597a55b8c4' class='xr-var-data-in' type='checkbox'><label for='data-ed47f771-462c-4a52-82f2-89597a55b8c4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>9</dd><dt><span>GRIB_Ny :</span></dt><dd>9</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>aod670</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.38</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.126</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>72.1</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>71.09</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-33.001</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-29.964</dd><dt><span>GRIB_missingValue :</span></dt><dd>3.4028234663852886e+38</dd><dt><span>GRIB_name :</span></dt><dd>Total Aerosol Optical Depth at 670nm</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>81</dd><dt><span>GRIB_paramId :</span></dt><dd>210214</dd><dt><span>GRIB_shortName :</span></dt><dd>aod670</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>0</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>~</dd><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;number&#x27;, &#x27;time&#x27;, &#x27;step&#x27;, &#x27;surface&#x27;, &#x27;latitude&#x27;, &#x27;longitude&#x27;, &#x27;valid_time&#x27;, &#x27;isobaricInhPa&#x27;], &#x27;dimensions&#x27;: [&#x27;latitude&#x27;, &#x27;longitude&#x27;], &#x27;long_name&#x27;: &#x27;Total Aerosol Optical Depth at 670nm&#x27;, &#x27;standard_name&#x27;: &#x27;unknown&#x27;, &#x27;units&#x27;: &#x27;~&#x27;}</dd><dt><span>long_name :</span></dt><dd>Total Aerosol Optical Depth at 670nm</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>~</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -17811,7 +17838,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>conditions_meteorology_cams_aod865</span></div><div class='xr-var-dims'>(conditions_meteorology_cams_latitude, conditions_meteorology_cams_longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9, 9), meta=np.ndarray&gt;</div><input id='attrs-225c14fd-221c-4be2-a0c0-41368a5faeed' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-225c14fd-221c-4be2-a0c0-41368a5faeed' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4a2ff305-9594-4aa4-8473-4bba52d6f063' class='xr-var-data-in' type='checkbox'><label for='data-4a2ff305-9594-4aa4-8473-4bba52d6f063' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>9</dd><dt><span>GRIB_Ny :</span></dt><dd>9</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>aod865</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.18</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.125</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>47.854</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>46.857</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>9.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>10.44</dd><dt><span>GRIB_missingValue :</span></dt><dd>3.4028234663852886e+38</dd><dt><span>GRIB_name :</span></dt><dd>Total Aerosol Optical Depth at 865nm</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>81</dd><dt><span>GRIB_paramId :</span></dt><dd>210215</dd><dt><span>GRIB_shortName :</span></dt><dd>aod865</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>0</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>~</dd><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;number&#x27;, &#x27;time&#x27;, &#x27;step&#x27;, &#x27;surface&#x27;, &#x27;latitude&#x27;, &#x27;longitude&#x27;, &#x27;valid_time&#x27;, &#x27;isobaricInhPa&#x27;], &#x27;dimensions&#x27;: [&#x27;latitude&#x27;, &#x27;longitude&#x27;], &#x27;units&#x27;: &#x27;~&#x27;}</dd><dt><span>long_name :</span></dt><dd>Total Aerosol Optical Depth at 865nm</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>~</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>conditions_meteorology_cams_aod865</span></div><div class='xr-var-dims'>(conditions_meteorology_cams_latitude, conditions_meteorology_cams_longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9, 9), meta=np.ndarray&gt;</div><input id='attrs-05b14c11-a6f1-4b1b-bcd7-4ef0b4079585' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-05b14c11-a6f1-4b1b-bcd7-4ef0b4079585' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-446236ac-2494-447a-b578-3f6b1fe2f1d3' class='xr-var-data-in' type='checkbox'><label for='data-446236ac-2494-447a-b578-3f6b1fe2f1d3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>9</dd><dt><span>GRIB_Ny :</span></dt><dd>9</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>aod865</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.38</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.126</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>72.1</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>71.09</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-33.001</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-29.964</dd><dt><span>GRIB_missingValue :</span></dt><dd>3.4028234663852886e+38</dd><dt><span>GRIB_name :</span></dt><dd>Total Aerosol Optical Depth at 865nm</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>81</dd><dt><span>GRIB_paramId :</span></dt><dd>210215</dd><dt><span>GRIB_shortName :</span></dt><dd>aod865</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>0</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>~</dd><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;number&#x27;, &#x27;time&#x27;, &#x27;step&#x27;, &#x27;surface&#x27;, &#x27;latitude&#x27;, &#x27;longitude&#x27;, &#x27;valid_time&#x27;, &#x27;isobaricInhPa&#x27;], &#x27;dimensions&#x27;: [&#x27;latitude&#x27;, &#x27;longitude&#x27;], &#x27;long_name&#x27;: &#x27;Total Aerosol Optical Depth at 865nm&#x27;, &#x27;standard_name&#x27;: &#x27;unknown&#x27;, &#x27;units&#x27;: &#x27;~&#x27;}</dd><dt><span>long_name :</span></dt><dd>Total Aerosol Optical Depth at 865nm</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>~</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -17866,7 +17893,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>conditions_meteorology_cams_bcaod550</span></div><div class='xr-var-dims'>(conditions_meteorology_cams_latitude, conditions_meteorology_cams_longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9, 9), meta=np.ndarray&gt;</div><input id='attrs-f7e49257-b4a6-4153-ac8a-b10f278bb1fc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f7e49257-b4a6-4153-ac8a-b10f278bb1fc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1da0777d-b50a-473a-a44a-78bda5638837' class='xr-var-data-in' type='checkbox'><label for='data-1da0777d-b50a-473a-a44a-78bda5638837' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>9</dd><dt><span>GRIB_Ny :</span></dt><dd>9</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>bcaod550</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.18</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.125</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>47.854</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>46.857</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>9.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>10.44</dd><dt><span>GRIB_missingValue :</span></dt><dd>3.4028234663852886e+38</dd><dt><span>GRIB_name :</span></dt><dd>Black Carbon Aerosol Optical Depth at 550nm</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>81</dd><dt><span>GRIB_paramId :</span></dt><dd>210211</dd><dt><span>GRIB_shortName :</span></dt><dd>bcaod550</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>0</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>~</dd><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;number&#x27;, &#x27;time&#x27;, &#x27;step&#x27;, &#x27;surface&#x27;, &#x27;latitude&#x27;, &#x27;longitude&#x27;, &#x27;valid_time&#x27;, &#x27;isobaricInhPa&#x27;], &#x27;dimensions&#x27;: [&#x27;latitude&#x27;, &#x27;longitude&#x27;], &#x27;units&#x27;: &#x27;~&#x27;}</dd><dt><span>long_name :</span></dt><dd>Black Carbon Aerosol Optical Depth at 550nm</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>~</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>conditions_meteorology_cams_bcaod550</span></div><div class='xr-var-dims'>(conditions_meteorology_cams_latitude, conditions_meteorology_cams_longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9, 9), meta=np.ndarray&gt;</div><input id='attrs-e5037bfa-10e1-4a8a-9787-5f33ebd67065' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e5037bfa-10e1-4a8a-9787-5f33ebd67065' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9435dcd1-853a-46f2-9e34-dd7f612c91b8' class='xr-var-data-in' type='checkbox'><label for='data-9435dcd1-853a-46f2-9e34-dd7f612c91b8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>9</dd><dt><span>GRIB_Ny :</span></dt><dd>9</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>bcaod550</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.38</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.126</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>72.1</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>71.09</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-33.001</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-29.964</dd><dt><span>GRIB_missingValue :</span></dt><dd>3.4028234663852886e+38</dd><dt><span>GRIB_name :</span></dt><dd>Black Carbon Aerosol Optical Depth at 550nm</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>81</dd><dt><span>GRIB_paramId :</span></dt><dd>210211</dd><dt><span>GRIB_shortName :</span></dt><dd>bcaod550</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>0</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>~</dd><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;number&#x27;, &#x27;time&#x27;, &#x27;step&#x27;, &#x27;surface&#x27;, &#x27;latitude&#x27;, &#x27;longitude&#x27;, &#x27;valid_time&#x27;, &#x27;isobaricInhPa&#x27;], &#x27;dimensions&#x27;: [&#x27;latitude&#x27;, &#x27;longitude&#x27;], &#x27;long_name&#x27;: &#x27;Black Carbon Aerosol Optical Depth at 550nm&#x27;, &#x27;standard_name&#x27;: &#x27;unknown&#x27;, &#x27;units&#x27;: &#x27;~&#x27;}</dd><dt><span>long_name :</span></dt><dd>Black Carbon Aerosol Optical Depth at 550nm</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>~</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -17921,7 +17948,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>conditions_meteorology_cams_duaod550</span></div><div class='xr-var-dims'>(conditions_meteorology_cams_latitude, conditions_meteorology_cams_longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9, 9), meta=np.ndarray&gt;</div><input id='attrs-fd0d7247-0e5e-4936-81cc-7122957b7cd2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fd0d7247-0e5e-4936-81cc-7122957b7cd2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-984d63dd-64a7-4a96-a511-60b0ad273219' class='xr-var-data-in' type='checkbox'><label for='data-984d63dd-64a7-4a96-a511-60b0ad273219' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>9</dd><dt><span>GRIB_Ny :</span></dt><dd>9</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>duaod550</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.18</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.125</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>47.854</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>46.857</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>9.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>10.44</dd><dt><span>GRIB_missingValue :</span></dt><dd>3.4028234663852886e+38</dd><dt><span>GRIB_name :</span></dt><dd>Dust Aerosol Optical Depth at 550nm</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>81</dd><dt><span>GRIB_paramId :</span></dt><dd>210209</dd><dt><span>GRIB_shortName :</span></dt><dd>duaod550</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>0</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>isobaricInhPa</dd><dt><span>GRIB_units :</span></dt><dd>~</dd><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;number&#x27;, &#x27;time&#x27;, &#x27;step&#x27;, &#x27;surface&#x27;, &#x27;latitude&#x27;, &#x27;longitude&#x27;, &#x27;valid_time&#x27;, &#x27;isobaricInhPa&#x27;], &#x27;dimensions&#x27;: [&#x27;latitude&#x27;, &#x27;longitude&#x27;], &#x27;units&#x27;: &#x27;~&#x27;}</dd><dt><span>long_name :</span></dt><dd>Dust Aerosol Optical Depth at 550nm</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>~</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>conditions_meteorology_cams_duaod550</span></div><div class='xr-var-dims'>(conditions_meteorology_cams_latitude, conditions_meteorology_cams_longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9, 9), meta=np.ndarray&gt;</div><input id='attrs-40dd0de7-3647-4274-9fc4-90569fe4df62' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-40dd0de7-3647-4274-9fc4-90569fe4df62' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f65e4ba7-05e5-4c48-b09d-dbb97d30892f' class='xr-var-data-in' type='checkbox'><label for='data-f65e4ba7-05e5-4c48-b09d-dbb97d30892f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>9</dd><dt><span>GRIB_Ny :</span></dt><dd>9</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>duaod550</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.38</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.126</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>72.1</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>71.09</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-33.001</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-29.964</dd><dt><span>GRIB_missingValue :</span></dt><dd>3.4028234663852886e+38</dd><dt><span>GRIB_name :</span></dt><dd>Dust Aerosol Optical Depth at 550nm</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>81</dd><dt><span>GRIB_paramId :</span></dt><dd>210209</dd><dt><span>GRIB_shortName :</span></dt><dd>duaod550</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>0</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>isobaricInhPa</dd><dt><span>GRIB_units :</span></dt><dd>~</dd><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;number&#x27;, &#x27;time&#x27;, &#x27;step&#x27;, &#x27;surface&#x27;, &#x27;latitude&#x27;, &#x27;longitude&#x27;, &#x27;valid_time&#x27;, &#x27;isobaricInhPa&#x27;], &#x27;dimensions&#x27;: [&#x27;latitude&#x27;, &#x27;longitude&#x27;], &#x27;long_name&#x27;: &#x27;Dust Aerosol Optical Depth at 550nm&#x27;, &#x27;standard_name&#x27;: &#x27;unknown&#x27;, &#x27;units&#x27;: &#x27;~&#x27;}</dd><dt><span>long_name :</span></dt><dd>Dust Aerosol Optical Depth at 550nm</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>~</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -17976,7 +18003,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>conditions_meteorology_cams_omaod550</span></div><div class='xr-var-dims'>(conditions_meteorology_cams_latitude, conditions_meteorology_cams_longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9, 9), meta=np.ndarray&gt;</div><input id='attrs-1f42a340-949f-4517-95e0-8da3922e4730' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1f42a340-949f-4517-95e0-8da3922e4730' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3a5f02f3-1612-4e7c-b71c-52a77edbb0a8' class='xr-var-data-in' type='checkbox'><label for='data-3a5f02f3-1612-4e7c-b71c-52a77edbb0a8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>9</dd><dt><span>GRIB_Ny :</span></dt><dd>9</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>omaod550</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.18</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.125</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>47.854</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>46.857</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>9.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>10.44</dd><dt><span>GRIB_missingValue :</span></dt><dd>3.4028234663852886e+38</dd><dt><span>GRIB_name :</span></dt><dd>Organic Matter Aerosol Optical Depth at 550nm</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>81</dd><dt><span>GRIB_paramId :</span></dt><dd>210210</dd><dt><span>GRIB_shortName :</span></dt><dd>omaod550</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>0</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>~</dd><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;number&#x27;, &#x27;time&#x27;, &#x27;step&#x27;, &#x27;surface&#x27;, &#x27;latitude&#x27;, &#x27;longitude&#x27;, &#x27;valid_time&#x27;, &#x27;isobaricInhPa&#x27;], &#x27;dimensions&#x27;: [&#x27;latitude&#x27;, &#x27;longitude&#x27;], &#x27;units&#x27;: &#x27;~&#x27;}</dd><dt><span>long_name :</span></dt><dd>Organic Matter Aerosol Optical Depth at 550nm</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>~</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>conditions_meteorology_cams_omaod550</span></div><div class='xr-var-dims'>(conditions_meteorology_cams_latitude, conditions_meteorology_cams_longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9, 9), meta=np.ndarray&gt;</div><input id='attrs-8e8f1c48-deea-4097-b878-e74f1a2cb4a6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8e8f1c48-deea-4097-b878-e74f1a2cb4a6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-39972bbf-e413-47e9-92c7-01bbf8a3d3b5' class='xr-var-data-in' type='checkbox'><label for='data-39972bbf-e413-47e9-92c7-01bbf8a3d3b5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>9</dd><dt><span>GRIB_Ny :</span></dt><dd>9</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>omaod550</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.38</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.126</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>72.1</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>71.09</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-33.001</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-29.964</dd><dt><span>GRIB_missingValue :</span></dt><dd>3.4028234663852886e+38</dd><dt><span>GRIB_name :</span></dt><dd>Organic Matter Aerosol Optical Depth at 550nm</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>81</dd><dt><span>GRIB_paramId :</span></dt><dd>210210</dd><dt><span>GRIB_shortName :</span></dt><dd>omaod550</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>0</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>~</dd><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;number&#x27;, &#x27;time&#x27;, &#x27;step&#x27;, &#x27;surface&#x27;, &#x27;latitude&#x27;, &#x27;longitude&#x27;, &#x27;valid_time&#x27;, &#x27;isobaricInhPa&#x27;], &#x27;dimensions&#x27;: [&#x27;latitude&#x27;, &#x27;longitude&#x27;], &#x27;long_name&#x27;: &#x27;Organic Matter Aerosol Optical Depth at 550nm&#x27;, &#x27;standard_name&#x27;: &#x27;unknown&#x27;, &#x27;units&#x27;: &#x27;~&#x27;}</dd><dt><span>long_name :</span></dt><dd>Organic Matter Aerosol Optical Depth at 550nm</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>~</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -18031,7 +18058,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>conditions_meteorology_cams_ssaod550</span></div><div class='xr-var-dims'>(conditions_meteorology_cams_latitude, conditions_meteorology_cams_longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9, 9), meta=np.ndarray&gt;</div><input id='attrs-9af67c65-a5c4-4a91-85a1-10077a69b330' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9af67c65-a5c4-4a91-85a1-10077a69b330' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3181d39f-0c83-48cc-b8dd-6fcef8d42766' class='xr-var-data-in' type='checkbox'><label for='data-3181d39f-0c83-48cc-b8dd-6fcef8d42766' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>9</dd><dt><span>GRIB_Ny :</span></dt><dd>9</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>ssaod550</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.18</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.125</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>47.854</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>46.857</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>9.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>10.44</dd><dt><span>GRIB_missingValue :</span></dt><dd>3.4028234663852886e+38</dd><dt><span>GRIB_name :</span></dt><dd>Sea Salt Aerosol Optical Depth at 550nm</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>81</dd><dt><span>GRIB_paramId :</span></dt><dd>210208</dd><dt><span>GRIB_shortName :</span></dt><dd>ssaod550</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>0</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>~</dd><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;number&#x27;, &#x27;time&#x27;, &#x27;step&#x27;, &#x27;surface&#x27;, &#x27;latitude&#x27;, &#x27;longitude&#x27;, &#x27;valid_time&#x27;, &#x27;isobaricInhPa&#x27;], &#x27;dimensions&#x27;: [&#x27;latitude&#x27;, &#x27;longitude&#x27;], &#x27;units&#x27;: &#x27;~&#x27;}</dd><dt><span>long_name :</span></dt><dd>Sea Salt Aerosol Optical Depth at 550nm</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>~</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>conditions_meteorology_cams_ssaod550</span></div><div class='xr-var-dims'>(conditions_meteorology_cams_latitude, conditions_meteorology_cams_longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9, 9), meta=np.ndarray&gt;</div><input id='attrs-a5e9e8e4-3712-4ad0-960d-bcb7e216666f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a5e9e8e4-3712-4ad0-960d-bcb7e216666f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-18f3fd00-ae8d-459b-8a90-e84de75e1a4c' class='xr-var-data-in' type='checkbox'><label for='data-18f3fd00-ae8d-459b-8a90-e84de75e1a4c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>9</dd><dt><span>GRIB_Ny :</span></dt><dd>9</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>ssaod550</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.38</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.126</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>72.1</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>71.09</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-33.001</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-29.964</dd><dt><span>GRIB_missingValue :</span></dt><dd>3.4028234663852886e+38</dd><dt><span>GRIB_name :</span></dt><dd>Sea Salt Aerosol Optical Depth at 550nm</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>81</dd><dt><span>GRIB_paramId :</span></dt><dd>210208</dd><dt><span>GRIB_shortName :</span></dt><dd>ssaod550</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>0</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>~</dd><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;number&#x27;, &#x27;time&#x27;, &#x27;step&#x27;, &#x27;surface&#x27;, &#x27;latitude&#x27;, &#x27;longitude&#x27;, &#x27;valid_time&#x27;, &#x27;isobaricInhPa&#x27;], &#x27;dimensions&#x27;: [&#x27;latitude&#x27;, &#x27;longitude&#x27;], &#x27;long_name&#x27;: &#x27;Sea Salt Aerosol Optical Depth at 550nm&#x27;, &#x27;standard_name&#x27;: &#x27;unknown&#x27;, &#x27;units&#x27;: &#x27;~&#x27;}</dd><dt><span>long_name :</span></dt><dd>Sea Salt Aerosol Optical Depth at 550nm</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>~</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -18086,7 +18113,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>conditions_meteorology_cams_suaod550</span></div><div class='xr-var-dims'>(conditions_meteorology_cams_latitude, conditions_meteorology_cams_longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9, 9), meta=np.ndarray&gt;</div><input id='attrs-bc78c932-530f-4f2d-b5db-a2117bbc89eb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bc78c932-530f-4f2d-b5db-a2117bbc89eb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-767a9352-5145-4a58-9a77-4ea6fbc39561' class='xr-var-data-in' type='checkbox'><label for='data-767a9352-5145-4a58-9a77-4ea6fbc39561' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>9</dd><dt><span>GRIB_Ny :</span></dt><dd>9</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>suaod550</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.18</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.125</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>47.854</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>46.857</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>9.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>10.44</dd><dt><span>GRIB_missingValue :</span></dt><dd>3.4028234663852886e+38</dd><dt><span>GRIB_name :</span></dt><dd>Sulphate Aerosol Optical Depth at 550nm</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>81</dd><dt><span>GRIB_paramId :</span></dt><dd>210212</dd><dt><span>GRIB_shortName :</span></dt><dd>suaod550</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>0</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>~</dd><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;number&#x27;, &#x27;time&#x27;, &#x27;step&#x27;, &#x27;surface&#x27;, &#x27;latitude&#x27;, &#x27;longitude&#x27;, &#x27;valid_time&#x27;, &#x27;isobaricInhPa&#x27;], &#x27;dimensions&#x27;: [&#x27;latitude&#x27;, &#x27;longitude&#x27;], &#x27;units&#x27;: &#x27;~&#x27;}</dd><dt><span>long_name :</span></dt><dd>Sulphate Aerosol Optical Depth at 550nm</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>~</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>conditions_meteorology_cams_suaod550</span></div><div class='xr-var-dims'>(conditions_meteorology_cams_latitude, conditions_meteorology_cams_longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9, 9), meta=np.ndarray&gt;</div><input id='attrs-1e098864-ee25-444f-8125-00331b82971c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1e098864-ee25-444f-8125-00331b82971c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3f5f1674-2434-4370-8e65-e451d3b55adf' class='xr-var-data-in' type='checkbox'><label for='data-3f5f1674-2434-4370-8e65-e451d3b55adf' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>9</dd><dt><span>GRIB_Ny :</span></dt><dd>9</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>suaod550</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.38</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.126</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>72.1</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>71.09</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-33.001</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-29.964</dd><dt><span>GRIB_missingValue :</span></dt><dd>3.4028234663852886e+38</dd><dt><span>GRIB_name :</span></dt><dd>Sulphate Aerosol Optical Depth at 550nm</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>81</dd><dt><span>GRIB_paramId :</span></dt><dd>210212</dd><dt><span>GRIB_shortName :</span></dt><dd>suaod550</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>0</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>~</dd><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;number&#x27;, &#x27;time&#x27;, &#x27;step&#x27;, &#x27;surface&#x27;, &#x27;latitude&#x27;, &#x27;longitude&#x27;, &#x27;valid_time&#x27;, &#x27;isobaricInhPa&#x27;], &#x27;dimensions&#x27;: [&#x27;latitude&#x27;, &#x27;longitude&#x27;], &#x27;long_name&#x27;: &#x27;Sulphate Aerosol Optical Depth at 550nm&#x27;, &#x27;standard_name&#x27;: &#x27;unknown&#x27;, &#x27;units&#x27;: &#x27;~&#x27;}</dd><dt><span>long_name :</span></dt><dd>Sulphate Aerosol Optical Depth at 550nm</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>~</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -18141,7 +18168,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>conditions_meteorology_cams_z</span></div><div class='xr-var-dims'>(conditions_meteorology_cams_latitude, conditions_meteorology_cams_longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9, 9), meta=np.ndarray&gt;</div><input id='attrs-d7383376-26b1-4bb3-9099-5c813bf9518c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d7383376-26b1-4bb3-9099-5c813bf9518c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b84af7ef-1723-4a7d-b56c-b08497f75a9e' class='xr-var-data-in' type='checkbox'><label for='data-b84af7ef-1723-4a7d-b56c-b08497f75a9e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>9</dd><dt><span>GRIB_Ny :</span></dt><dd>9</dd><dt><span>GRIB_cfName :</span></dt><dd>geopotential</dd><dt><span>GRIB_cfVarName :</span></dt><dd>z</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.18</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.125</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>47.854</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>46.857</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>9.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>10.44</dd><dt><span>GRIB_missingValue :</span></dt><dd>3.4028234663852886e+38</dd><dt><span>GRIB_name :</span></dt><dd>Geopotential</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>81</dd><dt><span>GRIB_paramId :</span></dt><dd>129</dd><dt><span>GRIB_shortName :</span></dt><dd>z</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>0</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>m**2 s**-2</dd><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;number&#x27;, &#x27;time&#x27;, &#x27;step&#x27;, &#x27;surface&#x27;, &#x27;latitude&#x27;, &#x27;longitude&#x27;, &#x27;valid_time&#x27;, &#x27;isobaricInhPa&#x27;], &#x27;dimensions&#x27;: [&#x27;latitude&#x27;, &#x27;longitude&#x27;], &#x27;units&#x27;: &#x27;m**2 s**-2&#x27;}</dd><dt><span>long_name :</span></dt><dd>Geopotential</dd><dt><span>standard_name :</span></dt><dd>geopotential</dd><dt><span>units :</span></dt><dd>m**2 s**-2</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>conditions_meteorology_cams_z</span></div><div class='xr-var-dims'>(conditions_meteorology_cams_latitude, conditions_meteorology_cams_longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9, 9), meta=np.ndarray&gt;</div><input id='attrs-1488efae-397d-4015-9dac-0a5a1e0efb58' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1488efae-397d-4015-9dac-0a5a1e0efb58' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6eab46fd-f187-49a9-8c3f-fc1db22d88d2' class='xr-var-data-in' type='checkbox'><label for='data-6eab46fd-f187-49a9-8c3f-fc1db22d88d2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>9</dd><dt><span>GRIB_Ny :</span></dt><dd>9</dd><dt><span>GRIB_cfName :</span></dt><dd>geopotential</dd><dt><span>GRIB_cfVarName :</span></dt><dd>z</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.38</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.126</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>72.1</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>71.09</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-33.001</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-29.964</dd><dt><span>GRIB_missingValue :</span></dt><dd>3.4028234663852886e+38</dd><dt><span>GRIB_name :</span></dt><dd>Geopotential</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>81</dd><dt><span>GRIB_paramId :</span></dt><dd>129</dd><dt><span>GRIB_shortName :</span></dt><dd>z</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>0</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>m**2 s**-2</dd><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;number&#x27;, &#x27;time&#x27;, &#x27;step&#x27;, &#x27;surface&#x27;, &#x27;latitude&#x27;, &#x27;longitude&#x27;, &#x27;valid_time&#x27;, &#x27;isobaricInhPa&#x27;], &#x27;dimensions&#x27;: [&#x27;latitude&#x27;, &#x27;longitude&#x27;], &#x27;long_name&#x27;: &#x27;Geopotential&#x27;, &#x27;standard_name&#x27;: &#x27;geopotential&#x27;, &#x27;units&#x27;: &#x27;m**2 s**-2&#x27;}</dd><dt><span>long_name :</span></dt><dd>Geopotential</dd><dt><span>standard_name :</span></dt><dd>geopotential</dd><dt><span>units :</span></dt><dd>m**2 s**-2</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -18196,7 +18223,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>conditions_meteorology_ecmwf_msl</span></div><div class='xr-var-dims'>(conditions_meteorology_ecmwf_latitude, conditions_meteorology_ecmwf_longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9, 9), meta=np.ndarray&gt;</div><input id='attrs-dcb61938-2650-46d5-afd0-67cff368dc5d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-dcb61938-2650-46d5-afd0-67cff368dc5d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b3dc18bd-ddce-4d84-b596-e0d074aafa07' class='xr-var-data-in' type='checkbox'><label for='data-b3dc18bd-ddce-4d84-b596-e0d074aafa07' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>9</dd><dt><span>GRIB_Ny :</span></dt><dd>9</dd><dt><span>GRIB_cfName :</span></dt><dd>air_pressure_at_mean_sea_level</dd><dt><span>GRIB_cfVarName :</span></dt><dd>msl</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.18</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.125</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>47.854</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>46.857</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>9.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>10.44</dd><dt><span>GRIB_missingValue :</span></dt><dd>3.4028234663852886e+38</dd><dt><span>GRIB_name :</span></dt><dd>Mean sea level pressure</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>81</dd><dt><span>GRIB_paramId :</span></dt><dd>151</dd><dt><span>GRIB_shortName :</span></dt><dd>msl</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>0</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>Pa</dd><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;number&#x27;, &#x27;time&#x27;, &#x27;step&#x27;, &#x27;surface&#x27;, &#x27;latitude&#x27;, &#x27;longitude&#x27;, &#x27;valid_time&#x27;, &#x27;isobaricInhPa&#x27;], &#x27;dimensions&#x27;: [&#x27;latitude&#x27;, &#x27;longitude&#x27;], &#x27;units&#x27;: &#x27;Pa&#x27;}</dd><dt><span>long_name :</span></dt><dd>Mean sea level pressure</dd><dt><span>standard_name :</span></dt><dd>air_pressure_at_mean_sea_level</dd><dt><span>units :</span></dt><dd>Pa</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>conditions_meteorology_ecmwf_msl</span></div><div class='xr-var-dims'>(conditions_meteorology_ecmwf_latitude, conditions_meteorology_ecmwf_longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9, 9), meta=np.ndarray&gt;</div><input id='attrs-3c6927df-ab00-406b-9a27-d20572d29a5c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3c6927df-ab00-406b-9a27-d20572d29a5c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cf187ee4-6624-41a8-87b5-e79e4ac4cd90' class='xr-var-data-in' type='checkbox'><label for='data-cf187ee4-6624-41a8-87b5-e79e4ac4cd90' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>9</dd><dt><span>GRIB_Ny :</span></dt><dd>9</dd><dt><span>GRIB_cfName :</span></dt><dd>air_pressure_at_mean_sea_level</dd><dt><span>GRIB_cfVarName :</span></dt><dd>msl</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.38</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.126</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>72.1</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>71.09</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-33.001</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-29.964</dd><dt><span>GRIB_missingValue :</span></dt><dd>3.4028234663852886e+38</dd><dt><span>GRIB_name :</span></dt><dd>Mean sea level pressure</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>81</dd><dt><span>GRIB_paramId :</span></dt><dd>151</dd><dt><span>GRIB_shortName :</span></dt><dd>msl</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>0</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>Pa</dd><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;number&#x27;, &#x27;time&#x27;, &#x27;step&#x27;, &#x27;surface&#x27;, &#x27;latitude&#x27;, &#x27;longitude&#x27;, &#x27;valid_time&#x27;, &#x27;isobaricInhPa&#x27;], &#x27;dimensions&#x27;: [&#x27;latitude&#x27;, &#x27;longitude&#x27;], &#x27;long_name&#x27;: &#x27;Mean sea level pressure&#x27;, &#x27;standard_name&#x27;: &#x27;air_pressure_at_mean_sea_level&#x27;, &#x27;units&#x27;: &#x27;Pa&#x27;}</dd><dt><span>long_name :</span></dt><dd>Mean sea level pressure</dd><dt><span>standard_name :</span></dt><dd>air_pressure_at_mean_sea_level</dd><dt><span>units :</span></dt><dd>Pa</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -18251,7 +18278,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>conditions_meteorology_ecmwf_r</span></div><div class='xr-var-dims'>(conditions_meteorology_ecmwf_latitude, conditions_meteorology_ecmwf_longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9, 9), meta=np.ndarray&gt;</div><input id='attrs-f6619374-da5f-43f3-b7ff-35077352e6cd' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f6619374-da5f-43f3-b7ff-35077352e6cd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a3753333-bada-4acc-afa1-769e707b3610' class='xr-var-data-in' type='checkbox'><label for='data-a3753333-bada-4acc-afa1-769e707b3610' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>9</dd><dt><span>GRIB_Ny :</span></dt><dd>9</dd><dt><span>GRIB_cfName :</span></dt><dd>relative_humidity</dd><dt><span>GRIB_cfVarName :</span></dt><dd>r</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.18</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.125</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>47.854</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>46.857</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>9.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>10.44</dd><dt><span>GRIB_missingValue :</span></dt><dd>3.4028234663852886e+38</dd><dt><span>GRIB_name :</span></dt><dd>Relative humidity</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>81</dd><dt><span>GRIB_paramId :</span></dt><dd>157</dd><dt><span>GRIB_shortName :</span></dt><dd>r</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>0</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>isobaricInhPa</dd><dt><span>GRIB_units :</span></dt><dd>%</dd><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;number&#x27;, &#x27;time&#x27;, &#x27;step&#x27;, &#x27;surface&#x27;, &#x27;latitude&#x27;, &#x27;longitude&#x27;, &#x27;valid_time&#x27;, &#x27;isobaricInhPa&#x27;], &#x27;dimensions&#x27;: [&#x27;latitude&#x27;, &#x27;longitude&#x27;], &#x27;units&#x27;: &#x27;%&#x27;}</dd><dt><span>long_name :</span></dt><dd>Relative humidity</dd><dt><span>standard_name :</span></dt><dd>relative_humidity</dd><dt><span>units :</span></dt><dd>%</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>conditions_meteorology_ecmwf_r</span></div><div class='xr-var-dims'>(conditions_meteorology_ecmwf_latitude, conditions_meteorology_ecmwf_longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9, 9), meta=np.ndarray&gt;</div><input id='attrs-98ce6993-8b9e-4574-bf48-31e9d73e7635' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-98ce6993-8b9e-4574-bf48-31e9d73e7635' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-552d955c-b419-45d1-a4e6-47c19e688b6e' class='xr-var-data-in' type='checkbox'><label for='data-552d955c-b419-45d1-a4e6-47c19e688b6e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>9</dd><dt><span>GRIB_Ny :</span></dt><dd>9</dd><dt><span>GRIB_cfName :</span></dt><dd>relative_humidity</dd><dt><span>GRIB_cfVarName :</span></dt><dd>r</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.38</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.126</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>72.1</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>71.09</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-33.001</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-29.964</dd><dt><span>GRIB_missingValue :</span></dt><dd>3.4028234663852886e+38</dd><dt><span>GRIB_name :</span></dt><dd>Relative humidity</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>81</dd><dt><span>GRIB_paramId :</span></dt><dd>157</dd><dt><span>GRIB_shortName :</span></dt><dd>r</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>0</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>isobaricInhPa</dd><dt><span>GRIB_units :</span></dt><dd>%</dd><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;number&#x27;, &#x27;time&#x27;, &#x27;step&#x27;, &#x27;surface&#x27;, &#x27;latitude&#x27;, &#x27;longitude&#x27;, &#x27;valid_time&#x27;, &#x27;isobaricInhPa&#x27;], &#x27;dimensions&#x27;: [&#x27;latitude&#x27;, &#x27;longitude&#x27;], &#x27;long_name&#x27;: &#x27;Relative humidity&#x27;, &#x27;standard_name&#x27;: &#x27;relative_humidity&#x27;, &#x27;units&#x27;: &#x27;%&#x27;}</dd><dt><span>long_name :</span></dt><dd>Relative humidity</dd><dt><span>standard_name :</span></dt><dd>relative_humidity</dd><dt><span>units :</span></dt><dd>%</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -18306,7 +18333,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>conditions_meteorology_ecmwf_tco3</span></div><div class='xr-var-dims'>(conditions_meteorology_ecmwf_latitude, conditions_meteorology_ecmwf_longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9, 9), meta=np.ndarray&gt;</div><input id='attrs-1e2012aa-6653-479f-971e-ccc5a657f4ab' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1e2012aa-6653-479f-971e-ccc5a657f4ab' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c8ba269b-3e4a-4c8e-b66e-cc9197e2f69e' class='xr-var-data-in' type='checkbox'><label for='data-c8ba269b-3e4a-4c8e-b66e-cc9197e2f69e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>9</dd><dt><span>GRIB_Ny :</span></dt><dd>9</dd><dt><span>GRIB_cfName :</span></dt><dd>atmosphere_mass_content_of_ozone</dd><dt><span>GRIB_cfVarName :</span></dt><dd>tco3</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.18</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.125</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>47.854</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>46.857</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>9.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>10.44</dd><dt><span>GRIB_missingValue :</span></dt><dd>3.4028234663852886e+38</dd><dt><span>GRIB_name :</span></dt><dd>Total column ozone</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>81</dd><dt><span>GRIB_paramId :</span></dt><dd>206</dd><dt><span>GRIB_shortName :</span></dt><dd>tco3</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>0</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>kg m**-2</dd><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;number&#x27;, &#x27;time&#x27;, &#x27;step&#x27;, &#x27;surface&#x27;, &#x27;latitude&#x27;, &#x27;longitude&#x27;, &#x27;valid_time&#x27;, &#x27;isobaricInhPa&#x27;], &#x27;dimensions&#x27;: [&#x27;latitude&#x27;, &#x27;longitude&#x27;], &#x27;units&#x27;: &#x27;kg m**-2&#x27;}</dd><dt><span>long_name :</span></dt><dd>Total column ozone</dd><dt><span>standard_name :</span></dt><dd>atmosphere_mass_content_of_ozone</dd><dt><span>units :</span></dt><dd>kg m**-2</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>conditions_meteorology_ecmwf_tco3</span></div><div class='xr-var-dims'>(conditions_meteorology_ecmwf_latitude, conditions_meteorology_ecmwf_longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9, 9), meta=np.ndarray&gt;</div><input id='attrs-8e109617-8505-4e1c-9342-0a9e24a76469' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8e109617-8505-4e1c-9342-0a9e24a76469' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6882541c-775e-4087-9ff5-467d2fd4b2d4' class='xr-var-data-in' type='checkbox'><label for='data-6882541c-775e-4087-9ff5-467d2fd4b2d4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>9</dd><dt><span>GRIB_Ny :</span></dt><dd>9</dd><dt><span>GRIB_cfName :</span></dt><dd>atmosphere_mass_content_of_ozone</dd><dt><span>GRIB_cfVarName :</span></dt><dd>tco3</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.38</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.126</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>72.1</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>71.09</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-33.001</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-29.964</dd><dt><span>GRIB_missingValue :</span></dt><dd>3.4028234663852886e+38</dd><dt><span>GRIB_name :</span></dt><dd>Total column ozone</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>81</dd><dt><span>GRIB_paramId :</span></dt><dd>206</dd><dt><span>GRIB_shortName :</span></dt><dd>tco3</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>0</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>kg m**-2</dd><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;number&#x27;, &#x27;time&#x27;, &#x27;step&#x27;, &#x27;surface&#x27;, &#x27;latitude&#x27;, &#x27;longitude&#x27;, &#x27;valid_time&#x27;, &#x27;isobaricInhPa&#x27;], &#x27;dimensions&#x27;: [&#x27;latitude&#x27;, &#x27;longitude&#x27;], &#x27;long_name&#x27;: &#x27;Total column ozone&#x27;, &#x27;standard_name&#x27;: &#x27;atmosphere_mass_content_of_ozone&#x27;, &#x27;units&#x27;: &#x27;kg m**-2&#x27;}</dd><dt><span>long_name :</span></dt><dd>Total column ozone</dd><dt><span>standard_name :</span></dt><dd>atmosphere_mass_content_of_ozone</dd><dt><span>units :</span></dt><dd>kg m**-2</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -18361,7 +18388,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>conditions_meteorology_ecmwf_tcwv</span></div><div class='xr-var-dims'>(conditions_meteorology_ecmwf_latitude, conditions_meteorology_ecmwf_longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9, 9), meta=np.ndarray&gt;</div><input id='attrs-8d9e9e6f-5b26-4ebc-9291-e99cd33a4e35' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8d9e9e6f-5b26-4ebc-9291-e99cd33a4e35' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-250d9164-d779-4d52-888a-5b18d9781794' class='xr-var-data-in' type='checkbox'><label for='data-250d9164-d779-4d52-888a-5b18d9781794' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>9</dd><dt><span>GRIB_Ny :</span></dt><dd>9</dd><dt><span>GRIB_cfName :</span></dt><dd>lwe_thickness_of_atmosphere_mass_content_of_water_vapor</dd><dt><span>GRIB_cfVarName :</span></dt><dd>tcwv</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.18</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.125</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>47.854</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>46.857</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>9.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>10.44</dd><dt><span>GRIB_missingValue :</span></dt><dd>3.4028234663852886e+38</dd><dt><span>GRIB_name :</span></dt><dd>Total column vertically-integrated water vapour</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>81</dd><dt><span>GRIB_paramId :</span></dt><dd>137</dd><dt><span>GRIB_shortName :</span></dt><dd>tcwv</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>0</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>kg m**-2</dd><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;number&#x27;, &#x27;time&#x27;, &#x27;step&#x27;, &#x27;surface&#x27;, &#x27;latitude&#x27;, &#x27;longitude&#x27;, &#x27;valid_time&#x27;, &#x27;isobaricInhPa&#x27;], &#x27;dimensions&#x27;: [&#x27;latitude&#x27;, &#x27;longitude&#x27;], &#x27;units&#x27;: &#x27;kg m**-2&#x27;}</dd><dt><span>long_name :</span></dt><dd>Total column vertically-integrated water vapour</dd><dt><span>standard_name :</span></dt><dd>lwe_thickness_of_atmosphere_mass_content_of_water_vapor</dd><dt><span>units :</span></dt><dd>kg m**-2</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>conditions_meteorology_ecmwf_tcwv</span></div><div class='xr-var-dims'>(conditions_meteorology_ecmwf_latitude, conditions_meteorology_ecmwf_longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9, 9), meta=np.ndarray&gt;</div><input id='attrs-723f671f-d259-4cd6-8713-e54f373262fc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-723f671f-d259-4cd6-8713-e54f373262fc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6ece6be5-d2b9-47db-b4cd-38f013f9a593' class='xr-var-data-in' type='checkbox'><label for='data-6ece6be5-d2b9-47db-b4cd-38f013f9a593' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>9</dd><dt><span>GRIB_Ny :</span></dt><dd>9</dd><dt><span>GRIB_cfName :</span></dt><dd>lwe_thickness_of_atmosphere_mass_content_of_water_vapor</dd><dt><span>GRIB_cfVarName :</span></dt><dd>tcwv</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.38</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.126</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>72.1</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>71.09</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-33.001</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-29.964</dd><dt><span>GRIB_missingValue :</span></dt><dd>3.4028234663852886e+38</dd><dt><span>GRIB_name :</span></dt><dd>Total column vertically-integrated water vapour</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>81</dd><dt><span>GRIB_paramId :</span></dt><dd>137</dd><dt><span>GRIB_shortName :</span></dt><dd>tcwv</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>0</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>kg m**-2</dd><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;number&#x27;, &#x27;time&#x27;, &#x27;step&#x27;, &#x27;surface&#x27;, &#x27;latitude&#x27;, &#x27;longitude&#x27;, &#x27;valid_time&#x27;, &#x27;isobaricInhPa&#x27;], &#x27;dimensions&#x27;: [&#x27;latitude&#x27;, &#x27;longitude&#x27;], &#x27;long_name&#x27;: &#x27;Total column vertically-integrated water vapour&#x27;, &#x27;standard_name&#x27;: &#x27;lwe_thickness_of_atmosphere_mass_content_of_water_vapor&#x27;, &#x27;units&#x27;: &#x27;kg m**-2&#x27;}</dd><dt><span>long_name :</span></dt><dd>Total column vertically-integrated water vapour</dd><dt><span>standard_name :</span></dt><dd>lwe_thickness_of_atmosphere_mass_content_of_water_vapor</dd><dt><span>units :</span></dt><dd>kg m**-2</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -18416,7 +18443,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>conditions_meteorology_ecmwf_u10</span></div><div class='xr-var-dims'>(conditions_meteorology_ecmwf_latitude, conditions_meteorology_ecmwf_longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9, 9), meta=np.ndarray&gt;</div><input id='attrs-346f29e5-6ab3-425f-b350-18bd9b96c2c7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-346f29e5-6ab3-425f-b350-18bd9b96c2c7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e2773f05-057d-4e03-998b-e2b27932df76' class='xr-var-data-in' type='checkbox'><label for='data-e2773f05-057d-4e03-998b-e2b27932df76' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>9</dd><dt><span>GRIB_Ny :</span></dt><dd>9</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>u10</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.18</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.125</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>47.854</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>46.857</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>9.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>10.44</dd><dt><span>GRIB_missingValue :</span></dt><dd>3.4028234663852886e+38</dd><dt><span>GRIB_name :</span></dt><dd>10 metre U wind component</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>81</dd><dt><span>GRIB_paramId :</span></dt><dd>165</dd><dt><span>GRIB_shortName :</span></dt><dd>10u</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>0</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>m s**-1</dd><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;number&#x27;, &#x27;time&#x27;, &#x27;step&#x27;, &#x27;surface&#x27;, &#x27;latitude&#x27;, &#x27;longitude&#x27;, &#x27;valid_time&#x27;, &#x27;isobaricInhPa&#x27;], &#x27;dimensions&#x27;: [&#x27;latitude&#x27;, &#x27;longitude&#x27;], &#x27;units&#x27;: &#x27;m s**-1&#x27;}</dd><dt><span>long_name :</span></dt><dd>10 metre U wind component</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>m s**-1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>conditions_meteorology_ecmwf_u10</span></div><div class='xr-var-dims'>(conditions_meteorology_ecmwf_latitude, conditions_meteorology_ecmwf_longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9, 9), meta=np.ndarray&gt;</div><input id='attrs-0f14bf8e-9918-4530-a389-7bb35fcca538' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0f14bf8e-9918-4530-a389-7bb35fcca538' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7d2665cc-923b-466c-b145-7410aeb288a2' class='xr-var-data-in' type='checkbox'><label for='data-7d2665cc-923b-466c-b145-7410aeb288a2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>9</dd><dt><span>GRIB_Ny :</span></dt><dd>9</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>u10</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.38</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.126</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>72.1</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>71.09</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-33.001</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-29.964</dd><dt><span>GRIB_missingValue :</span></dt><dd>3.4028234663852886e+38</dd><dt><span>GRIB_name :</span></dt><dd>10 metre U wind component</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>81</dd><dt><span>GRIB_paramId :</span></dt><dd>165</dd><dt><span>GRIB_shortName :</span></dt><dd>10u</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>0</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>m s**-1</dd><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;number&#x27;, &#x27;time&#x27;, &#x27;step&#x27;, &#x27;surface&#x27;, &#x27;latitude&#x27;, &#x27;longitude&#x27;, &#x27;valid_time&#x27;, &#x27;isobaricInhPa&#x27;], &#x27;dimensions&#x27;: [&#x27;latitude&#x27;, &#x27;longitude&#x27;], &#x27;long_name&#x27;: &#x27;10 metre U wind component&#x27;, &#x27;standard_name&#x27;: &#x27;unknown&#x27;, &#x27;units&#x27;: &#x27;m s**-1&#x27;}</dd><dt><span>long_name :</span></dt><dd>10 metre U wind component</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>m s**-1</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -18471,7 +18498,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>conditions_meteorology_ecmwf_v10</span></div><div class='xr-var-dims'>(conditions_meteorology_ecmwf_latitude, conditions_meteorology_ecmwf_longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9, 9), meta=np.ndarray&gt;</div><input id='attrs-a0adf1c7-4c51-4572-9628-e3eb880dd2c7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a0adf1c7-4c51-4572-9628-e3eb880dd2c7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dae270a8-eb0f-4b01-8776-0933529bdaf7' class='xr-var-data-in' type='checkbox'><label for='data-dae270a8-eb0f-4b01-8776-0933529bdaf7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>9</dd><dt><span>GRIB_Ny :</span></dt><dd>9</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>v10</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.18</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.125</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>47.854</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>46.857</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>9.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>10.44</dd><dt><span>GRIB_missingValue :</span></dt><dd>3.4028234663852886e+38</dd><dt><span>GRIB_name :</span></dt><dd>10 metre V wind component</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>81</dd><dt><span>GRIB_paramId :</span></dt><dd>166</dd><dt><span>GRIB_shortName :</span></dt><dd>10v</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>0</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>m s**-1</dd><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;number&#x27;, &#x27;time&#x27;, &#x27;step&#x27;, &#x27;surface&#x27;, &#x27;latitude&#x27;, &#x27;longitude&#x27;, &#x27;valid_time&#x27;, &#x27;isobaricInhPa&#x27;], &#x27;dimensions&#x27;: [&#x27;latitude&#x27;, &#x27;longitude&#x27;], &#x27;units&#x27;: &#x27;m s**-1&#x27;}</dd><dt><span>long_name :</span></dt><dd>10 metre V wind component</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>m s**-1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>conditions_meteorology_ecmwf_v10</span></div><div class='xr-var-dims'>(conditions_meteorology_ecmwf_latitude, conditions_meteorology_ecmwf_longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9, 9), meta=np.ndarray&gt;</div><input id='attrs-7b5cf683-52f1-425a-b182-10f85083b93a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7b5cf683-52f1-425a-b182-10f85083b93a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a38e0a1a-cad0-4089-8c63-7ad3675a0a48' class='xr-var-data-in' type='checkbox'><label for='data-a38e0a1a-cad0-4089-8c63-7ad3675a0a48' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>9</dd><dt><span>GRIB_Ny :</span></dt><dd>9</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>v10</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.38</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.126</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>72.1</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>71.09</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-33.001</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-29.964</dd><dt><span>GRIB_missingValue :</span></dt><dd>3.4028234663852886e+38</dd><dt><span>GRIB_name :</span></dt><dd>10 metre V wind component</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>81</dd><dt><span>GRIB_paramId :</span></dt><dd>166</dd><dt><span>GRIB_shortName :</span></dt><dd>10v</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>0</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>m s**-1</dd><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;number&#x27;, &#x27;time&#x27;, &#x27;step&#x27;, &#x27;surface&#x27;, &#x27;latitude&#x27;, &#x27;longitude&#x27;, &#x27;valid_time&#x27;, &#x27;isobaricInhPa&#x27;], &#x27;dimensions&#x27;: [&#x27;latitude&#x27;, &#x27;longitude&#x27;], &#x27;long_name&#x27;: &#x27;10 metre V wind component&#x27;, &#x27;standard_name&#x27;: &#x27;unknown&#x27;, &#x27;units&#x27;: &#x27;m s**-1&#x27;}</dd><dt><span>long_name :</span></dt><dd>10 metre V wind component</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>m s**-1</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -18526,7 +18553,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>measurements_r10m_b02</span></div><div class='xr-var-dims'>(measurements_r10m_y, measurements_r10m_x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(10980, 10980), meta=np.ndarray&gt;</div><input id='attrs-5b49a13c-2a52-4a74-ae8b-381e40d7b7b4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5b49a13c-2a52-4a74-ae8b-381e40d7b7b4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cafc28fe-c7b0-4aff-8725-6ad0da1b0768' class='xr-var-data-in' type='checkbox'><label for='data-cafc28fe-c7b0-4aff-8725-6ad0da1b0768' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;add_offset&#x27;: -0.1, &#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;fill_value&#x27;: 0, &#x27;scale_factor&#x27;: 0.0001, &#x27;units&#x27;: &#x27;digital_counts&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u2</dd><dt><span>fill_value :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>BOA reflectance from MSI acquisition at spectral band b02 492.7 nm</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 5190240.0, 609780.0, 5300040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32632</dd><dt><span>proj:shape :</span></dt><dd>[10980, 10980]</dd><dt><span>proj:transform :</span></dt><dd>[10.0, 0.0, 499980.0, 0.0, -10.0, 5300040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 32N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,9],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32632&quot;]]</dd><dt><span>units :</span></dt><dd>digital_counts</dd><dt><span>valid_max :</span></dt><dd>65535</dd><dt><span>valid_min :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>measurements_r10m_b02</span></div><div class='xr-var-dims'>(measurements_r10m_y, measurements_r10m_x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1830, 1830), meta=np.ndarray&gt;</div><input id='attrs-cc5bd035-2030-4c6d-968d-e8b04f57dcbe' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cc5bd035-2030-4c6d-968d-e8b04f57dcbe' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7b493749-3bf3-4158-a5b4-e1545345629e' class='xr-var-data-in' type='checkbox'><label for='data-7b493749-3bf3-4158-a5b4-e1545345629e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;add_offset&#x27;: -0.1, &#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;dtype&#x27;: &#x27;&lt;u2&#x27;, &#x27;fill_value&#x27;: 0, &#x27;long_name&#x27;: &#x27;TOA reflectance from MSI acquisition at spectral band b02 492.3 nm&#x27;, &#x27;scale_factor&#x27;: 0.0001, &#x27;units&#x27;: &#x27;digital_counts&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u2</dd><dt><span>fill_value :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>TOA reflectance from MSI acquisition at spectral band b02 492.3 nm</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 7890240.0, 609780.0, 8000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32625</dd><dt><span>proj:shape :</span></dt><dd>[10980, 10980]</dd><dt><span>proj:transform :</span></dt><dd>[10.0, 0.0, 499980.0, 0.0, -10.0, 8000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 25N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,-33],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32625&quot;]]</dd><dt><span>units :</span></dt><dd>digital_counts</dd><dt><span>valid_max :</span></dt><dd>65535</dd><dt><span>valid_min :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -18542,17 +18569,17 @@
        "                    <tr>\n",
        "                        <th> Bytes </th>\n",
        "                        <td> 919.80 MiB </td>\n",
-       "                        <td> 919.80 MiB </td>\n",
+       "                        <td> 25.55 MiB </td>\n",
        "                    </tr>\n",
        "                    \n",
        "                    <tr>\n",
        "                        <th> Shape </th>\n",
        "                        <td> (10980, 10980) </td>\n",
-       "                        <td> (10980, 10980) </td>\n",
+       "                        <td> (1830, 1830) </td>\n",
        "                    </tr>\n",
        "                    <tr>\n",
        "                        <th> Dask graph </th>\n",
-       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
+       "                        <td colspan=\"2\"> 36 chunks in 2 graph layers </td>\n",
        "                    </tr>\n",
        "                    <tr>\n",
        "                        <th> Data type </th>\n",
@@ -18566,10 +18593,20 @@
        "\n",
        "  <!-- Horizontal lines -->\n",
        "  <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n",
+       "  <line x1=\"0\" y1=\"20\" x2=\"120\" y2=\"20\" />\n",
+       "  <line x1=\"0\" y1=\"40\" x2=\"120\" y2=\"40\" />\n",
+       "  <line x1=\"0\" y1=\"60\" x2=\"120\" y2=\"60\" />\n",
+       "  <line x1=\"0\" y1=\"80\" x2=\"120\" y2=\"80\" />\n",
+       "  <line x1=\"0\" y1=\"100\" x2=\"120\" y2=\"100\" />\n",
        "  <line x1=\"0\" y1=\"120\" x2=\"120\" y2=\"120\" style=\"stroke-width:2\" />\n",
        "\n",
        "  <!-- Vertical lines -->\n",
        "  <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"120\" style=\"stroke-width:2\" />\n",
+       "  <line x1=\"20\" y1=\"0\" x2=\"20\" y2=\"120\" />\n",
+       "  <line x1=\"40\" y1=\"0\" x2=\"40\" y2=\"120\" />\n",
+       "  <line x1=\"60\" y1=\"0\" x2=\"60\" y2=\"120\" />\n",
+       "  <line x1=\"80\" y1=\"0\" x2=\"80\" y2=\"120\" />\n",
+       "  <line x1=\"100\" y1=\"0\" x2=\"100\" y2=\"120\" />\n",
        "  <line x1=\"120\" y1=\"0\" x2=\"120\" y2=\"120\" style=\"stroke-width:2\" />\n",
        "\n",
        "  <!-- Colored Rectangle -->\n",
@@ -18581,7 +18618,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>measurements_r10m_b03</span></div><div class='xr-var-dims'>(measurements_r10m_y, measurements_r10m_x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(10980, 10980), meta=np.ndarray&gt;</div><input id='attrs-e8e4cc33-793c-422a-88c3-4b9909efdbd7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e8e4cc33-793c-422a-88c3-4b9909efdbd7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ccfb3cc4-e114-4f11-940c-6ac89eeaf0d9' class='xr-var-data-in' type='checkbox'><label for='data-ccfb3cc4-e114-4f11-940c-6ac89eeaf0d9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;add_offset&#x27;: -0.1, &#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;fill_value&#x27;: 0, &#x27;scale_factor&#x27;: 0.0001, &#x27;units&#x27;: &#x27;digital_counts&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u2</dd><dt><span>fill_value :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>BOA reflectance from MSI acquisition at spectral band b03 559.8 nm</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 5190240.0, 609780.0, 5300040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32632</dd><dt><span>proj:shape :</span></dt><dd>[10980, 10980]</dd><dt><span>proj:transform :</span></dt><dd>[10.0, 0.0, 499980.0, 0.0, -10.0, 5300040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 32N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,9],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32632&quot;]]</dd><dt><span>units :</span></dt><dd>digital_counts</dd><dt><span>valid_max :</span></dt><dd>65535</dd><dt><span>valid_min :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>measurements_r10m_b03</span></div><div class='xr-var-dims'>(measurements_r10m_y, measurements_r10m_x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1830, 1830), meta=np.ndarray&gt;</div><input id='attrs-8d731be0-6b86-43d0-86af-aedb8223a2f1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8d731be0-6b86-43d0-86af-aedb8223a2f1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-40c599ed-b846-440d-b5e1-8705a50be20c' class='xr-var-data-in' type='checkbox'><label for='data-40c599ed-b846-440d-b5e1-8705a50be20c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;add_offset&#x27;: -0.1, &#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;dtype&#x27;: &#x27;&lt;u2&#x27;, &#x27;fill_value&#x27;: 0, &#x27;long_name&#x27;: &#x27;TOA reflectance from MSI acquisition at spectral band b03 559.0 nm&#x27;, &#x27;scale_factor&#x27;: 0.0001, &#x27;units&#x27;: &#x27;digital_counts&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u2</dd><dt><span>fill_value :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>TOA reflectance from MSI acquisition at spectral band b03 559.0 nm</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 7890240.0, 609780.0, 8000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32625</dd><dt><span>proj:shape :</span></dt><dd>[10980, 10980]</dd><dt><span>proj:transform :</span></dt><dd>[10.0, 0.0, 499980.0, 0.0, -10.0, 8000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 25N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,-33],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32625&quot;]]</dd><dt><span>units :</span></dt><dd>digital_counts</dd><dt><span>valid_max :</span></dt><dd>65535</dd><dt><span>valid_min :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -18597,17 +18634,17 @@
        "                    <tr>\n",
        "                        <th> Bytes </th>\n",
        "                        <td> 919.80 MiB </td>\n",
-       "                        <td> 919.80 MiB </td>\n",
+       "                        <td> 25.55 MiB </td>\n",
        "                    </tr>\n",
        "                    \n",
        "                    <tr>\n",
        "                        <th> Shape </th>\n",
        "                        <td> (10980, 10980) </td>\n",
-       "                        <td> (10980, 10980) </td>\n",
+       "                        <td> (1830, 1830) </td>\n",
        "                    </tr>\n",
        "                    <tr>\n",
        "                        <th> Dask graph </th>\n",
-       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
+       "                        <td colspan=\"2\"> 36 chunks in 2 graph layers </td>\n",
        "                    </tr>\n",
        "                    <tr>\n",
        "                        <th> Data type </th>\n",
@@ -18621,10 +18658,20 @@
        "\n",
        "  <!-- Horizontal lines -->\n",
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+       "  <line x1=\"0\" y1=\"20\" x2=\"120\" y2=\"20\" />\n",
+       "  <line x1=\"0\" y1=\"40\" x2=\"120\" y2=\"40\" />\n",
+       "  <line x1=\"0\" y1=\"60\" x2=\"120\" y2=\"60\" />\n",
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        "\n",
        "  <!-- Vertical lines -->\n",
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+       "  <line x1=\"60\" y1=\"0\" x2=\"60\" y2=\"120\" />\n",
+       "  <line x1=\"80\" y1=\"0\" x2=\"80\" y2=\"120\" />\n",
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        "  <line x1=\"120\" y1=\"0\" x2=\"120\" y2=\"120\" style=\"stroke-width:2\" />\n",
        "\n",
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@@ -18636,7 +18683,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>measurements_r10m_b04</span></div><div class='xr-var-dims'>(measurements_r10m_y, measurements_r10m_x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(10980, 10980), meta=np.ndarray&gt;</div><input id='attrs-9bd8b1c3-f19b-49e9-962b-db986bdb4ba3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9bd8b1c3-f19b-49e9-962b-db986bdb4ba3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0ba246a7-46c4-4d93-848c-8d566a73ad3d' class='xr-var-data-in' type='checkbox'><label for='data-0ba246a7-46c4-4d93-848c-8d566a73ad3d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;add_offset&#x27;: -0.1, &#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;fill_value&#x27;: 0, &#x27;scale_factor&#x27;: 0.0001, &#x27;units&#x27;: &#x27;digital_counts&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u2</dd><dt><span>fill_value :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>BOA reflectance from MSI acquisition at spectral band b04 664.6 nm</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 5190240.0, 609780.0, 5300040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32632</dd><dt><span>proj:shape :</span></dt><dd>[10980, 10980]</dd><dt><span>proj:transform :</span></dt><dd>[10.0, 0.0, 499980.0, 0.0, -10.0, 5300040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 32N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,9],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32632&quot;]]</dd><dt><span>units :</span></dt><dd>digital_counts</dd><dt><span>valid_max :</span></dt><dd>65535</dd><dt><span>valid_min :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>measurements_r10m_b04</span></div><div class='xr-var-dims'>(measurements_r10m_y, measurements_r10m_x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1830, 1830), meta=np.ndarray&gt;</div><input id='attrs-6db0f738-ba4a-4187-b282-7f9e3a4f516a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6db0f738-ba4a-4187-b282-7f9e3a4f516a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-55a6e118-0052-42df-b13a-9624a105f5a3' class='xr-var-data-in' type='checkbox'><label for='data-55a6e118-0052-42df-b13a-9624a105f5a3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;add_offset&#x27;: -0.1, &#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;dtype&#x27;: &#x27;&lt;u2&#x27;, &#x27;fill_value&#x27;: 0, &#x27;long_name&#x27;: &#x27;TOA reflectance from MSI acquisition at spectral band b04 665.0 nm&#x27;, &#x27;scale_factor&#x27;: 0.0001, &#x27;units&#x27;: &#x27;digital_counts&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u2</dd><dt><span>fill_value :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>TOA reflectance from MSI acquisition at spectral band b04 665.0 nm</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 7890240.0, 609780.0, 8000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32625</dd><dt><span>proj:shape :</span></dt><dd>[10980, 10980]</dd><dt><span>proj:transform :</span></dt><dd>[10.0, 0.0, 499980.0, 0.0, -10.0, 8000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 25N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,-33],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32625&quot;]]</dd><dt><span>units :</span></dt><dd>digital_counts</dd><dt><span>valid_max :</span></dt><dd>65535</dd><dt><span>valid_min :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -18652,17 +18699,17 @@
        "                    <tr>\n",
        "                        <th> Bytes </th>\n",
        "                        <td> 919.80 MiB </td>\n",
-       "                        <td> 919.80 MiB </td>\n",
+       "                        <td> 25.55 MiB </td>\n",
        "                    </tr>\n",
        "                    \n",
        "                    <tr>\n",
        "                        <th> Shape </th>\n",
        "                        <td> (10980, 10980) </td>\n",
-       "                        <td> (10980, 10980) </td>\n",
+       "                        <td> (1830, 1830) </td>\n",
        "                    </tr>\n",
        "                    <tr>\n",
        "                        <th> Dask graph </th>\n",
-       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
+       "                        <td colspan=\"2\"> 36 chunks in 2 graph layers </td>\n",
        "                    </tr>\n",
        "                    <tr>\n",
        "                        <th> Data type </th>\n",
@@ -18676,10 +18723,20 @@
        "\n",
        "  <!-- Horizontal lines -->\n",
        "  <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n",
+       "  <line x1=\"0\" y1=\"20\" x2=\"120\" y2=\"20\" />\n",
+       "  <line x1=\"0\" y1=\"40\" x2=\"120\" y2=\"40\" />\n",
+       "  <line x1=\"0\" y1=\"60\" x2=\"120\" y2=\"60\" />\n",
+       "  <line x1=\"0\" y1=\"80\" x2=\"120\" y2=\"80\" />\n",
+       "  <line x1=\"0\" y1=\"100\" x2=\"120\" y2=\"100\" />\n",
        "  <line x1=\"0\" y1=\"120\" x2=\"120\" y2=\"120\" style=\"stroke-width:2\" />\n",
        "\n",
        "  <!-- Vertical lines -->\n",
        "  <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"120\" style=\"stroke-width:2\" />\n",
+       "  <line x1=\"20\" y1=\"0\" x2=\"20\" y2=\"120\" />\n",
+       "  <line x1=\"40\" y1=\"0\" x2=\"40\" y2=\"120\" />\n",
+       "  <line x1=\"60\" y1=\"0\" x2=\"60\" y2=\"120\" />\n",
+       "  <line x1=\"80\" y1=\"0\" x2=\"80\" y2=\"120\" />\n",
+       "  <line x1=\"100\" y1=\"0\" x2=\"100\" y2=\"120\" />\n",
        "  <line x1=\"120\" y1=\"0\" x2=\"120\" y2=\"120\" style=\"stroke-width:2\" />\n",
        "\n",
        "  <!-- Colored Rectangle -->\n",
@@ -18691,7 +18748,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>measurements_r10m_b08</span></div><div class='xr-var-dims'>(measurements_r10m_y, measurements_r10m_x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(10980, 10980), meta=np.ndarray&gt;</div><input id='attrs-1ce805e0-8286-4db8-af65-2106191b4012' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1ce805e0-8286-4db8-af65-2106191b4012' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6f323deb-1979-40e6-995c-a5e3a7a5ffc9' class='xr-var-data-in' type='checkbox'><label for='data-6f323deb-1979-40e6-995c-a5e3a7a5ffc9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;add_offset&#x27;: -0.1, &#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;fill_value&#x27;: 0, &#x27;scale_factor&#x27;: 0.0001, &#x27;units&#x27;: &#x27;digital_counts&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u2</dd><dt><span>fill_value :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>BOA reflectance from MSI acquisition at spectral band b08 832.8 nm</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 5190240.0, 609780.0, 5300040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32632</dd><dt><span>proj:shape :</span></dt><dd>[10980, 10980]</dd><dt><span>proj:transform :</span></dt><dd>[10.0, 0.0, 499980.0, 0.0, -10.0, 5300040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 32N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,9],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32632&quot;]]</dd><dt><span>units :</span></dt><dd>digital_counts</dd><dt><span>valid_max :</span></dt><dd>65535</dd><dt><span>valid_min :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><table>\n",
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-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>measurements_r20m_b02</span></div><div class='xr-var-dims'>(measurements_r20m_y, measurements_r20m_x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(5490, 5490), meta=np.ndarray&gt;</div><input id='attrs-7db445e1-7921-4283-bd2a-99abb1e93e21' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7db445e1-7921-4283-bd2a-99abb1e93e21' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9b40618c-6c4f-4df9-90fe-1642e0dc2da0' class='xr-var-data-in' type='checkbox'><label for='data-9b40618c-6c4f-4df9-90fe-1642e0dc2da0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;add_offset&#x27;: -0.1, &#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;fill_value&#x27;: 0, &#x27;scale_factor&#x27;: 0.0001, &#x27;units&#x27;: &#x27;digital_counts&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u2</dd><dt><span>fill_value :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>BOA reflectance from MSI acquisition at spectral band b02 492.7 nm</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 5190240.0, 609780.0, 5300040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32632</dd><dt><span>proj:shape :</span></dt><dd>[5490, 5490]</dd><dt><span>proj:transform :</span></dt><dd>[20.0, 0.0, 499980.0, 0.0, -20.0, 5300040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 32N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,9],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32632&quot;]]</dd><dt><span>units :</span></dt><dd>digital_counts</dd><dt><span>valid_max :</span></dt><dd>65535</dd><dt><span>valid_min :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>measurements_r20m_b05</span></div><div class='xr-var-dims'>(measurements_r20m_y, measurements_r20m_x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(915, 915), meta=np.ndarray&gt;</div><input id='attrs-2abb88dd-72b3-4fb0-81a1-3552db34e8fd' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2abb88dd-72b3-4fb0-81a1-3552db34e8fd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-658bc325-346b-40d2-8395-3625eeb1e6f8' class='xr-var-data-in' type='checkbox'><label for='data-658bc325-346b-40d2-8395-3625eeb1e6f8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;add_offset&#x27;: -0.1, &#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;dtype&#x27;: &#x27;&lt;u2&#x27;, &#x27;fill_value&#x27;: 0, &#x27;long_name&#x27;: &#x27;TOA reflectance from MSI acquisition at spectral band b05 703.8 nm&#x27;, &#x27;scale_factor&#x27;: 0.0001, &#x27;units&#x27;: &#x27;digital_counts&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u2</dd><dt><span>fill_value :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>TOA reflectance from MSI acquisition at spectral band b05 703.8 nm</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 7890240.0, 609780.0, 8000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32625</dd><dt><span>proj:shape :</span></dt><dd>[5490, 5490]</dd><dt><span>proj:transform :</span></dt><dd>[20.0, 0.0, 499980.0, 0.0, -20.0, 8000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 25N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,-33],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32625&quot;]]</dd><dt><span>units :</span></dt><dd>digital_counts</dd><dt><span>valid_max :</span></dt><dd>65535</dd><dt><span>valid_min :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
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-       "                        <td> 229.95 MiB </td>\n",
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        "                    <tr>\n",
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-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>measurements_r20m_b04</span></div><div class='xr-var-dims'>(measurements_r20m_y, measurements_r20m_x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(5490, 5490), meta=np.ndarray&gt;</div><input id='attrs-29a9fbb0-4fed-4e36-a5ce-8a734cef4a18' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-29a9fbb0-4fed-4e36-a5ce-8a734cef4a18' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-52f72782-3b43-4126-9b69-d2c43908d789' class='xr-var-data-in' type='checkbox'><label for='data-52f72782-3b43-4126-9b69-d2c43908d789' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;add_offset&#x27;: -0.1, &#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;fill_value&#x27;: 0, &#x27;scale_factor&#x27;: 0.0001, &#x27;units&#x27;: &#x27;digital_counts&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u2</dd><dt><span>fill_value :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>BOA reflectance from MSI acquisition at spectral band b04 664.6 nm</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 5190240.0, 609780.0, 5300040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32632</dd><dt><span>proj:shape :</span></dt><dd>[5490, 5490]</dd><dt><span>proj:transform :</span></dt><dd>[20.0, 0.0, 499980.0, 0.0, -20.0, 5300040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 32N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,9],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32632&quot;]]</dd><dt><span>units :</span></dt><dd>digital_counts</dd><dt><span>valid_max :</span></dt><dd>65535</dd><dt><span>valid_min :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>measurements_r20m_b06</span></div><div class='xr-var-dims'>(measurements_r20m_y, measurements_r20m_x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(915, 915), meta=np.ndarray&gt;</div><input id='attrs-93c151dd-eed8-4f0b-af0b-e03657357067' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-93c151dd-eed8-4f0b-af0b-e03657357067' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0c282bed-ad8a-4838-bbf4-5940d4bca188' class='xr-var-data-in' type='checkbox'><label for='data-0c282bed-ad8a-4838-bbf4-5940d4bca188' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;add_offset&#x27;: -0.1, &#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;dtype&#x27;: &#x27;&lt;u2&#x27;, &#x27;fill_value&#x27;: 0, &#x27;long_name&#x27;: &#x27;TOA reflectance from MSI acquisition at spectral band b06 739.1 nm&#x27;, &#x27;scale_factor&#x27;: 0.0001, &#x27;units&#x27;: &#x27;digital_counts&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u2</dd><dt><span>fill_value :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>TOA reflectance from MSI acquisition at spectral band b06 739.1 nm</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 7890240.0, 609780.0, 8000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32625</dd><dt><span>proj:shape :</span></dt><dd>[5490, 5490]</dd><dt><span>proj:transform :</span></dt><dd>[20.0, 0.0, 499980.0, 0.0, -20.0, 8000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 25N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,-33],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32625&quot;]]</dd><dt><span>units :</span></dt><dd>digital_counts</dd><dt><span>valid_max :</span></dt><dd>65535</dd><dt><span>valid_min :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -18927,17 +18894,17 @@
        "                    <tr>\n",
        "                        <th> Bytes </th>\n",
        "                        <td> 229.95 MiB </td>\n",
-       "                        <td> 229.95 MiB </td>\n",
+       "                        <td> 6.39 MiB </td>\n",
        "                    </tr>\n",
        "                    \n",
        "                    <tr>\n",
        "                        <th> Shape </th>\n",
        "                        <td> (5490, 5490) </td>\n",
-       "                        <td> (5490, 5490) </td>\n",
+       "                        <td> (915, 915) </td>\n",
        "                    </tr>\n",
        "                    <tr>\n",
        "                        <th> Dask graph </th>\n",
-       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
+       "                        <td colspan=\"2\"> 36 chunks in 2 graph layers </td>\n",
        "                    </tr>\n",
        "                    <tr>\n",
        "                        <th> Data type </th>\n",
@@ -18951,10 +18918,20 @@
        "\n",
        "  <!-- Horizontal lines -->\n",
        "  <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n",
+       "  <line x1=\"0\" y1=\"20\" x2=\"120\" y2=\"20\" />\n",
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+       "  <line x1=\"0\" y1=\"60\" x2=\"120\" y2=\"60\" />\n",
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        "\n",
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        "  <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"120\" style=\"stroke-width:2\" />\n",
+       "  <line x1=\"20\" y1=\"0\" x2=\"20\" y2=\"120\" />\n",
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        "\n",
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@@ -18966,7 +18943,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>measurements_r20m_b05</span></div><div class='xr-var-dims'>(measurements_r20m_y, measurements_r20m_x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(5490, 5490), meta=np.ndarray&gt;</div><input id='attrs-6805568e-30d8-4aac-9cd4-789aae1f261d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6805568e-30d8-4aac-9cd4-789aae1f261d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-da21bb9d-08f3-43bd-9ba6-c316590c88c8' class='xr-var-data-in' type='checkbox'><label for='data-da21bb9d-08f3-43bd-9ba6-c316590c88c8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;add_offset&#x27;: -0.1, &#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;fill_value&#x27;: 0, &#x27;scale_factor&#x27;: 0.0001, &#x27;units&#x27;: &#x27;digital_counts&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u2</dd><dt><span>fill_value :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>BOA reflectance from MSI acquisition at spectral band b05 704.1 nm</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 5190240.0, 609780.0, 5300040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32632</dd><dt><span>proj:shape :</span></dt><dd>[5490, 5490]</dd><dt><span>proj:transform :</span></dt><dd>[20.0, 0.0, 499980.0, 0.0, -20.0, 5300040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 32N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,9],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32632&quot;]]</dd><dt><span>units :</span></dt><dd>digital_counts</dd><dt><span>valid_max :</span></dt><dd>65535</dd><dt><span>valid_min :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>measurements_r20m_b07</span></div><div class='xr-var-dims'>(measurements_r20m_y, measurements_r20m_x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(915, 915), meta=np.ndarray&gt;</div><input id='attrs-fb4a341e-008c-4bc1-9550-3a53688083a2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fb4a341e-008c-4bc1-9550-3a53688083a2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-23691772-0ac5-4612-b05b-178fa8c43608' class='xr-var-data-in' type='checkbox'><label for='data-23691772-0ac5-4612-b05b-178fa8c43608' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;add_offset&#x27;: -0.1, &#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;dtype&#x27;: &#x27;&lt;u2&#x27;, &#x27;fill_value&#x27;: 0, &#x27;long_name&#x27;: &#x27;TOA reflectance from MSI acquisition at spectral band b07 779.7 nm&#x27;, &#x27;scale_factor&#x27;: 0.0001, &#x27;units&#x27;: &#x27;digital_counts&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u2</dd><dt><span>fill_value :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>TOA reflectance from MSI acquisition at spectral band b07 779.7 nm</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 7890240.0, 609780.0, 8000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32625</dd><dt><span>proj:shape :</span></dt><dd>[5490, 5490]</dd><dt><span>proj:transform :</span></dt><dd>[20.0, 0.0, 499980.0, 0.0, -20.0, 8000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 25N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,-33],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32625&quot;]]</dd><dt><span>units :</span></dt><dd>digital_counts</dd><dt><span>valid_max :</span></dt><dd>65535</dd><dt><span>valid_min :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -18982,17 +18959,17 @@
        "                    <tr>\n",
        "                        <th> Bytes </th>\n",
        "                        <td> 229.95 MiB </td>\n",
-       "                        <td> 229.95 MiB </td>\n",
+       "                        <td> 6.39 MiB </td>\n",
        "                    </tr>\n",
        "                    \n",
        "                    <tr>\n",
        "                        <th> Shape </th>\n",
        "                        <td> (5490, 5490) </td>\n",
-       "                        <td> (5490, 5490) </td>\n",
+       "                        <td> (915, 915) </td>\n",
        "                    </tr>\n",
        "                    <tr>\n",
        "                        <th> Dask graph </th>\n",
-       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
+       "                        <td colspan=\"2\"> 36 chunks in 2 graph layers </td>\n",
        "                    </tr>\n",
        "                    <tr>\n",
        "                        <th> Data type </th>\n",
@@ -19006,10 +18983,20 @@
        "\n",
        "  <!-- Horizontal lines -->\n",
        "  <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n",
+       "  <line x1=\"0\" y1=\"20\" x2=\"120\" y2=\"20\" />\n",
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        "\n",
        "  <!-- Vertical lines -->\n",
        "  <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"120\" style=\"stroke-width:2\" />\n",
+       "  <line x1=\"20\" y1=\"0\" x2=\"20\" y2=\"120\" />\n",
+       "  <line x1=\"40\" y1=\"0\" x2=\"40\" y2=\"120\" />\n",
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        "\n",
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@@ -19021,7 +19008,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>measurements_r20m_b06</span></div><div class='xr-var-dims'>(measurements_r20m_y, measurements_r20m_x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(5490, 5490), meta=np.ndarray&gt;</div><input id='attrs-5f2c79d7-a144-48c6-aa2d-02a3739c0c75' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5f2c79d7-a144-48c6-aa2d-02a3739c0c75' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9903a61c-f72b-4564-94c5-58be0cae4945' class='xr-var-data-in' type='checkbox'><label for='data-9903a61c-f72b-4564-94c5-58be0cae4945' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;add_offset&#x27;: -0.1, &#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;fill_value&#x27;: 0, &#x27;scale_factor&#x27;: 0.0001, &#x27;units&#x27;: &#x27;digital_counts&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u2</dd><dt><span>fill_value :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>BOA reflectance from MSI acquisition at spectral band b06 740.5 nm</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 5190240.0, 609780.0, 5300040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32632</dd><dt><span>proj:shape :</span></dt><dd>[5490, 5490]</dd><dt><span>proj:transform :</span></dt><dd>[20.0, 0.0, 499980.0, 0.0, -20.0, 5300040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 32N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,9],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32632&quot;]]</dd><dt><span>units :</span></dt><dd>digital_counts</dd><dt><span>valid_max :</span></dt><dd>65535</dd><dt><span>valid_min :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>measurements_r20m_b11</span></div><div class='xr-var-dims'>(measurements_r20m_y, measurements_r20m_x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(915, 915), meta=np.ndarray&gt;</div><input id='attrs-7c6d8d24-71f3-49d4-9cdd-527244b7b569' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7c6d8d24-71f3-49d4-9cdd-527244b7b569' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ae348ca4-3c84-48d6-829f-da552f0fda27' class='xr-var-data-in' type='checkbox'><label for='data-ae348ca4-3c84-48d6-829f-da552f0fda27' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;add_offset&#x27;: -0.1, &#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;dtype&#x27;: &#x27;&lt;u2&#x27;, &#x27;fill_value&#x27;: 0, &#x27;long_name&#x27;: &#x27;TOA reflectance from MSI acquisition at spectral band b11 1610.4 nm&#x27;, &#x27;scale_factor&#x27;: 0.0001, &#x27;units&#x27;: &#x27;digital_counts&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u2</dd><dt><span>fill_value :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>TOA reflectance from MSI acquisition at spectral band b11 1610.4 nm</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 7890240.0, 609780.0, 8000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32625</dd><dt><span>proj:shape :</span></dt><dd>[5490, 5490]</dd><dt><span>proj:transform :</span></dt><dd>[20.0, 0.0, 499980.0, 0.0, -20.0, 8000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 25N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,-33],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32625&quot;]]</dd><dt><span>units :</span></dt><dd>digital_counts</dd><dt><span>valid_max :</span></dt><dd>65535</dd><dt><span>valid_min :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -19037,17 +19024,17 @@
        "                    <tr>\n",
        "                        <th> Bytes </th>\n",
        "                        <td> 229.95 MiB </td>\n",
-       "                        <td> 229.95 MiB </td>\n",
+       "                        <td> 6.39 MiB </td>\n",
        "                    </tr>\n",
        "                    \n",
        "                    <tr>\n",
        "                        <th> Shape </th>\n",
        "                        <td> (5490, 5490) </td>\n",
-       "                        <td> (5490, 5490) </td>\n",
+       "                        <td> (915, 915) </td>\n",
        "                    </tr>\n",
        "                    <tr>\n",
        "                        <th> Dask graph </th>\n",
-       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
+       "                        <td colspan=\"2\"> 36 chunks in 2 graph layers </td>\n",
        "                    </tr>\n",
        "                    <tr>\n",
        "                        <th> Data type </th>\n",
@@ -19061,10 +19048,20 @@
        "\n",
        "  <!-- Horizontal lines -->\n",
        "  <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n",
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+       "  <line x1=\"0\" y1=\"60\" x2=\"120\" y2=\"60\" />\n",
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        "\n",
        "  <!-- Vertical lines -->\n",
        "  <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"120\" style=\"stroke-width:2\" />\n",
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+       "  <line x1=\"40\" y1=\"0\" x2=\"40\" y2=\"120\" />\n",
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        "\n",
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        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>measurements_r20m_b07</span></div><div class='xr-var-dims'>(measurements_r20m_y, measurements_r20m_x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(5490, 5490), meta=np.ndarray&gt;</div><input id='attrs-02b0e399-19c6-4949-9153-a391ae19f278' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-02b0e399-19c6-4949-9153-a391ae19f278' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e2e5d4ed-0383-4728-b5e4-7dca82ffee5a' class='xr-var-data-in' type='checkbox'><label for='data-e2e5d4ed-0383-4728-b5e4-7dca82ffee5a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;add_offset&#x27;: -0.1, &#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;fill_value&#x27;: 0, &#x27;scale_factor&#x27;: 0.0001, &#x27;units&#x27;: &#x27;digital_counts&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u2</dd><dt><span>fill_value :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>BOA reflectance from MSI acquisition at spectral band b07 782.8 nm</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 5190240.0, 609780.0, 5300040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32632</dd><dt><span>proj:shape :</span></dt><dd>[5490, 5490]</dd><dt><span>proj:transform :</span></dt><dd>[20.0, 0.0, 499980.0, 0.0, -20.0, 5300040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 32N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,9],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32632&quot;]]</dd><dt><span>units :</span></dt><dd>digital_counts</dd><dt><span>valid_max :</span></dt><dd>65535</dd><dt><span>valid_min :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>measurements_r20m_b12</span></div><div class='xr-var-dims'>(measurements_r20m_y, measurements_r20m_x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(915, 915), meta=np.ndarray&gt;</div><input id='attrs-5c2c0465-b5aa-4647-908b-2cddccdf0b90' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5c2c0465-b5aa-4647-908b-2cddccdf0b90' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d8308eb9-854d-4cda-a71e-0ca7a7f1c7fb' class='xr-var-data-in' type='checkbox'><label for='data-d8308eb9-854d-4cda-a71e-0ca7a7f1c7fb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;add_offset&#x27;: -0.1, &#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;dtype&#x27;: &#x27;&lt;u2&#x27;, &#x27;fill_value&#x27;: 0, &#x27;long_name&#x27;: &#x27;TOA reflectance from MSI acquisition at spectral band b12 2185.7 nm&#x27;, &#x27;scale_factor&#x27;: 0.0001, &#x27;units&#x27;: &#x27;digital_counts&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u2</dd><dt><span>fill_value :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>TOA reflectance from MSI acquisition at spectral band b12 2185.7 nm</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 7890240.0, 609780.0, 8000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32625</dd><dt><span>proj:shape :</span></dt><dd>[5490, 5490]</dd><dt><span>proj:transform :</span></dt><dd>[20.0, 0.0, 499980.0, 0.0, -20.0, 8000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 25N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,-33],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32625&quot;]]</dd><dt><span>units :</span></dt><dd>digital_counts</dd><dt><span>valid_max :</span></dt><dd>65535</dd><dt><span>valid_min :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -19092,17 +19089,17 @@
        "                    <tr>\n",
        "                        <th> Bytes </th>\n",
        "                        <td> 229.95 MiB </td>\n",
-       "                        <td> 229.95 MiB </td>\n",
+       "                        <td> 6.39 MiB </td>\n",
        "                    </tr>\n",
        "                    \n",
        "                    <tr>\n",
        "                        <th> Shape </th>\n",
        "                        <td> (5490, 5490) </td>\n",
-       "                        <td> (5490, 5490) </td>\n",
+       "                        <td> (915, 915) </td>\n",
        "                    </tr>\n",
        "                    <tr>\n",
        "                        <th> Dask graph </th>\n",
-       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
+       "                        <td colspan=\"2\"> 36 chunks in 2 graph layers </td>\n",
        "                    </tr>\n",
        "                    <tr>\n",
        "                        <th> Data type </th>\n",
@@ -19116,10 +19113,20 @@
        "\n",
        "  <!-- Horizontal lines -->\n",
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+       "  <line x1=\"0\" y1=\"20\" x2=\"120\" y2=\"20\" />\n",
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+       "  <line x1=\"0\" y1=\"60\" x2=\"120\" y2=\"60\" />\n",
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        "  <line x1=\"0\" y1=\"120\" x2=\"120\" y2=\"120\" style=\"stroke-width:2\" />\n",
        "\n",
        "  <!-- Vertical lines -->\n",
        "  <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"120\" style=\"stroke-width:2\" />\n",
+       "  <line x1=\"20\" y1=\"0\" x2=\"20\" y2=\"120\" />\n",
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        "  <line x1=\"120\" y1=\"0\" x2=\"120\" y2=\"120\" style=\"stroke-width:2\" />\n",
        "\n",
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@@ -19131,7 +19138,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>measurements_r20m_b11</span></div><div class='xr-var-dims'>(measurements_r20m_y, measurements_r20m_x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(5490, 5490), meta=np.ndarray&gt;</div><input id='attrs-02995a53-151a-4a04-844e-ca711d38fdaf' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-02995a53-151a-4a04-844e-ca711d38fdaf' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-293bd1c8-6c8c-436f-bbe2-6f11f830cfd5' class='xr-var-data-in' type='checkbox'><label for='data-293bd1c8-6c8c-436f-bbe2-6f11f830cfd5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;add_offset&#x27;: -0.1, &#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;fill_value&#x27;: 0, &#x27;scale_factor&#x27;: 0.0001, &#x27;units&#x27;: &#x27;digital_counts&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u2</dd><dt><span>fill_value :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>BOA reflectance from MSI acquisition at spectral band b11 1613.7 nm</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 5190240.0, 609780.0, 5300040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32632</dd><dt><span>proj:shape :</span></dt><dd>[5490, 5490]</dd><dt><span>proj:transform :</span></dt><dd>[20.0, 0.0, 499980.0, 0.0, -20.0, 5300040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 32N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,9],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32632&quot;]]</dd><dt><span>units :</span></dt><dd>digital_counts</dd><dt><span>valid_max :</span></dt><dd>65535</dd><dt><span>valid_min :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>measurements_r20m_b8a</span></div><div class='xr-var-dims'>(measurements_r20m_y, measurements_r20m_x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(915, 915), meta=np.ndarray&gt;</div><input id='attrs-f5c49298-dc2d-4d25-a70a-56f7187843fc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f5c49298-dc2d-4d25-a70a-56f7187843fc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5c0087a0-2eae-4242-b489-d6eadb8dc2d0' class='xr-var-data-in' type='checkbox'><label for='data-5c0087a0-2eae-4242-b489-d6eadb8dc2d0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;add_offset&#x27;: -0.1, &#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;dtype&#x27;: &#x27;&lt;u2&#x27;, &#x27;fill_value&#x27;: 0, &#x27;long_name&#x27;: &#x27;TOA reflectance from MSI acquisition at spectral band b8a 864.0 nm&#x27;, &#x27;scale_factor&#x27;: 0.0001, &#x27;units&#x27;: &#x27;digital_counts&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u2</dd><dt><span>fill_value :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>TOA reflectance from MSI acquisition at spectral band b8a 864.0 nm</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 7890240.0, 609780.0, 8000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32625</dd><dt><span>proj:shape :</span></dt><dd>[5490, 5490]</dd><dt><span>proj:transform :</span></dt><dd>[20.0, 0.0, 499980.0, 0.0, -20.0, 8000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 25N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,-33],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32625&quot;]]</dd><dt><span>units :</span></dt><dd>digital_counts</dd><dt><span>valid_max :</span></dt><dd>65535</dd><dt><span>valid_min :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -19147,17 +19154,17 @@
        "                    <tr>\n",
        "                        <th> Bytes </th>\n",
        "                        <td> 229.95 MiB </td>\n",
-       "                        <td> 229.95 MiB </td>\n",
+       "                        <td> 6.39 MiB </td>\n",
        "                    </tr>\n",
        "                    \n",
        "                    <tr>\n",
        "                        <th> Shape </th>\n",
        "                        <td> (5490, 5490) </td>\n",
-       "                        <td> (5490, 5490) </td>\n",
+       "                        <td> (915, 915) </td>\n",
        "                    </tr>\n",
        "                    <tr>\n",
        "                        <th> Dask graph </th>\n",
-       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
+       "                        <td colspan=\"2\"> 36 chunks in 2 graph layers </td>\n",
        "                    </tr>\n",
        "                    <tr>\n",
        "                        <th> Data type </th>\n",
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        "\n",
        "  <!-- Vertical lines -->\n",
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        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>measurements_r20m_b12</span></div><div class='xr-var-dims'>(measurements_r20m_y, measurements_r20m_x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(5490, 5490), meta=np.ndarray&gt;</div><input id='attrs-0bfa6aa9-51be-4996-8086-bc22d89d1711' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0bfa6aa9-51be-4996-8086-bc22d89d1711' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d4f33f73-ecb5-45fe-a7f4-eb4ae1f18a0f' class='xr-var-data-in' type='checkbox'><label for='data-d4f33f73-ecb5-45fe-a7f4-eb4ae1f18a0f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;add_offset&#x27;: -0.1, &#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;fill_value&#x27;: 0, &#x27;scale_factor&#x27;: 0.0001, &#x27;units&#x27;: &#x27;digital_counts&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u2</dd><dt><span>fill_value :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>BOA reflectance from MSI acquisition at spectral band b12 2202.4 nm</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 5190240.0, 609780.0, 5300040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32632</dd><dt><span>proj:shape :</span></dt><dd>[5490, 5490]</dd><dt><span>proj:transform :</span></dt><dd>[20.0, 0.0, 499980.0, 0.0, -20.0, 5300040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 32N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,9],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32632&quot;]]</dd><dt><span>units :</span></dt><dd>digital_counts</dd><dt><span>valid_max :</span></dt><dd>65535</dd><dt><span>valid_min :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>measurements_r60m_b01</span></div><div class='xr-var-dims'>(measurements_r60m_y, measurements_r60m_x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(305, 305), meta=np.ndarray&gt;</div><input id='attrs-1660e1e9-faac-49d2-b5d4-b536f4fa70a6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1660e1e9-faac-49d2-b5d4-b536f4fa70a6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2b0cf270-a5ec-4fd7-a937-2cff9ffc92fb' class='xr-var-data-in' type='checkbox'><label for='data-2b0cf270-a5ec-4fd7-a937-2cff9ffc92fb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;add_offset&#x27;: -0.1, &#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;dtype&#x27;: &#x27;&lt;u2&#x27;, &#x27;fill_value&#x27;: 0, &#x27;long_name&#x27;: &#x27;TOA reflectance from MSI acquisition at spectral band b01 442.3 nm&#x27;, &#x27;scale_factor&#x27;: 0.0001, &#x27;units&#x27;: &#x27;digital_counts&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u2</dd><dt><span>fill_value :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>TOA reflectance from MSI acquisition at spectral band b01 442.3 nm</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 7890240.0, 609780.0, 8000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32625</dd><dt><span>proj:shape :</span></dt><dd>[1830, 1830]</dd><dt><span>proj:transform :</span></dt><dd>[60.0, 0.0, 499980.0, 0.0, -60.0, 8000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 25N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,-33],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32625&quot;]]</dd><dt><span>units :</span></dt><dd>digital_counts</dd><dt><span>valid_max :</span></dt><dd>65535</dd><dt><span>valid_min :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -19201,18 +19218,18 @@
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        "                    <tr>\n",
        "                        <th> Bytes </th>\n",
-       "                        <td> 229.95 MiB </td>\n",
-       "                        <td> 229.95 MiB </td>\n",
+       "                        <td> 25.55 MiB </td>\n",
+       "                        <td> 726.76 kiB </td>\n",
        "                    </tr>\n",
        "                    \n",
        "                    <tr>\n",
        "                        <th> Shape </th>\n",
-       "                        <td> (5490, 5490) </td>\n",
-       "                        <td> (5490, 5490) </td>\n",
+       "                        <td> (1830, 1830) </td>\n",
+       "                        <td> (305, 305) </td>\n",
        "                    </tr>\n",
        "                    <tr>\n",
        "                        <th> Dask graph </th>\n",
-       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
+       "                        <td colspan=\"2\"> 36 chunks in 2 graph layers </td>\n",
        "                    </tr>\n",
        "                    <tr>\n",
        "                        <th> Data type </th>\n",
@@ -19226,22 +19243,32 @@
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        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>measurements_r20m_b8a</span></div><div class='xr-var-dims'>(measurements_r20m_y, measurements_r20m_x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(5490, 5490), meta=np.ndarray&gt;</div><input id='attrs-dea98581-8d0a-47ad-ba5b-2e63ca026ef4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-dea98581-8d0a-47ad-ba5b-2e63ca026ef4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ad8fccb4-0a69-4ec4-80da-6170158479a8' class='xr-var-data-in' type='checkbox'><label for='data-ad8fccb4-0a69-4ec4-80da-6170158479a8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;add_offset&#x27;: -0.1, &#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;fill_value&#x27;: 0, &#x27;scale_factor&#x27;: 0.0001, &#x27;units&#x27;: &#x27;digital_counts&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u2</dd><dt><span>fill_value :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>BOA reflectance from MSI acquisition at spectral band b8a 864.7 nm</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 5190240.0, 609780.0, 5300040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32632</dd><dt><span>proj:shape :</span></dt><dd>[5490, 5490]</dd><dt><span>proj:transform :</span></dt><dd>[20.0, 0.0, 499980.0, 0.0, -20.0, 5300040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 32N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,9],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32632&quot;]]</dd><dt><span>units :</span></dt><dd>digital_counts</dd><dt><span>valid_max :</span></dt><dd>65535</dd><dt><span>valid_min :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>measurements_r60m_b09</span></div><div class='xr-var-dims'>(measurements_r60m_y, measurements_r60m_x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(305, 305), meta=np.ndarray&gt;</div><input id='attrs-52ad7b15-9cbb-4846-8137-a6543e64ba82' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-52ad7b15-9cbb-4846-8137-a6543e64ba82' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-15d2c665-92fe-4d71-a4e6-f348e4ecf3d4' class='xr-var-data-in' type='checkbox'><label for='data-15d2c665-92fe-4d71-a4e6-f348e4ecf3d4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;add_offset&#x27;: -0.1, &#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;dtype&#x27;: &#x27;&lt;u2&#x27;, &#x27;fill_value&#x27;: 0, &#x27;long_name&#x27;: &#x27;TOA reflectance from MSI acquisition at spectral band b09 943.2 nm&#x27;, &#x27;scale_factor&#x27;: 0.0001, &#x27;units&#x27;: &#x27;digital_counts&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u2</dd><dt><span>fill_value :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>TOA reflectance from MSI acquisition at spectral band b09 943.2 nm</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 7890240.0, 609780.0, 8000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32625</dd><dt><span>proj:shape :</span></dt><dd>[1830, 1830]</dd><dt><span>proj:transform :</span></dt><dd>[60.0, 0.0, 499980.0, 0.0, -60.0, 8000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 25N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,-33],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32625&quot;]]</dd><dt><span>units :</span></dt><dd>digital_counts</dd><dt><span>valid_max :</span></dt><dd>65535</dd><dt><span>valid_min :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -19256,18 +19283,18 @@
        "                    \n",
        "                    <tr>\n",
        "                        <th> Bytes </th>\n",
-       "                        <td> 229.95 MiB </td>\n",
-       "                        <td> 229.95 MiB </td>\n",
+       "                        <td> 25.55 MiB </td>\n",
+       "                        <td> 726.76 kiB </td>\n",
        "                    </tr>\n",
        "                    \n",
        "                    <tr>\n",
        "                        <th> Shape </th>\n",
-       "                        <td> (5490, 5490) </td>\n",
-       "                        <td> (5490, 5490) </td>\n",
+       "                        <td> (1830, 1830) </td>\n",
+       "                        <td> (305, 305) </td>\n",
        "                    </tr>\n",
        "                    <tr>\n",
        "                        <th> Dask graph </th>\n",
-       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
+       "                        <td colspan=\"2\"> 36 chunks in 2 graph layers </td>\n",
        "                    </tr>\n",
        "                    <tr>\n",
        "                        <th> Data type </th>\n",
@@ -19281,22 +19308,32 @@
        "\n",
        "  <!-- Horizontal lines -->\n",
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        "  <line x1=\"0\" y1=\"120\" x2=\"120\" y2=\"120\" style=\"stroke-width:2\" />\n",
        "\n",
        "  <!-- Vertical lines -->\n",
        "  <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"120\" style=\"stroke-width:2\" />\n",
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+       "  <line x1=\"40\" y1=\"0\" x2=\"40\" y2=\"120\" />\n",
+       "  <line x1=\"60\" y1=\"0\" x2=\"60\" y2=\"120\" />\n",
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+       "  <line x1=\"100\" y1=\"0\" x2=\"100\" y2=\"120\" />\n",
        "  <line x1=\"120\" y1=\"0\" x2=\"120\" y2=\"120\" style=\"stroke-width:2\" />\n",
        "\n",
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        "\n",
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+       "  <text x=\"60.000000\" y=\"140.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >1830</text>\n",
+       "  <text x=\"140.000000\" y=\"60.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,140.000000,60.000000)\">1830</text>\n",
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>measurements_r60m_b01</span></div><div class='xr-var-dims'>(measurements_r60m_y, measurements_r60m_x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1830, 1830), meta=np.ndarray&gt;</div><input id='attrs-840f1054-3b73-4978-9b18-893635e92412' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-840f1054-3b73-4978-9b18-893635e92412' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1ebd8f97-421c-4ca2-b7e8-dd5f0931fe23' class='xr-var-data-in' type='checkbox'><label for='data-1ebd8f97-421c-4ca2-b7e8-dd5f0931fe23' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;add_offset&#x27;: -0.1, &#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;fill_value&#x27;: 0, &#x27;scale_factor&#x27;: 0.0001, &#x27;units&#x27;: &#x27;digital_counts&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u2</dd><dt><span>fill_value :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>BOA reflectance from MSI acquisition at spectral band b01 442.7 nm</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 5190240.0, 609780.0, 5300040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32632</dd><dt><span>proj:shape :</span></dt><dd>[1830, 1830]</dd><dt><span>proj:transform :</span></dt><dd>[60.0, 0.0, 499980.0, 0.0, -60.0, 5300040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 32N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,9],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32632&quot;]]</dd><dt><span>units :</span></dt><dd>digital_counts</dd><dt><span>valid_max :</span></dt><dd>65535</dd><dt><span>valid_min :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>measurements_r60m_b10</span></div><div class='xr-var-dims'>(measurements_r60m_y, measurements_r60m_x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(305, 305), meta=np.ndarray&gt;</div><input id='attrs-e1e93698-5448-48d4-b770-2f519b2f6cfd' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e1e93698-5448-48d4-b770-2f519b2f6cfd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f14602cb-75f6-43b7-8f06-4dba247e1021' class='xr-var-data-in' type='checkbox'><label for='data-f14602cb-75f6-43b7-8f06-4dba247e1021' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;add_offset&#x27;: -0.1, &#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;dtype&#x27;: &#x27;&lt;u2&#x27;, &#x27;fill_value&#x27;: 0, &#x27;long_name&#x27;: &#x27;TOA reflectance from MSI acquisition at spectral band b10 1376.9 nm&#x27;, &#x27;scale_factor&#x27;: 0.0001, &#x27;units&#x27;: &#x27;digital_counts&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u2</dd><dt><span>fill_value :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>TOA reflectance from MSI acquisition at spectral band b10 1376.9 nm</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 7890240.0, 609780.0, 8000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32625</dd><dt><span>proj:shape :</span></dt><dd>[1830, 1830]</dd><dt><span>proj:transform :</span></dt><dd>[60.0, 0.0, 499980.0, 0.0, -60.0, 8000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 25N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,-33],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32625&quot;]]</dd><dt><span>units :</span></dt><dd>digital_counts</dd><dt><span>valid_max :</span></dt><dd>65535</dd><dt><span>valid_min :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -19312,17 +19349,17 @@
        "                    <tr>\n",
        "                        <th> Bytes </th>\n",
        "                        <td> 25.55 MiB </td>\n",
-       "                        <td> 25.55 MiB </td>\n",
+       "                        <td> 726.76 kiB </td>\n",
        "                    </tr>\n",
        "                    \n",
        "                    <tr>\n",
        "                        <th> Shape </th>\n",
        "                        <td> (1830, 1830) </td>\n",
-       "                        <td> (1830, 1830) </td>\n",
+       "                        <td> (305, 305) </td>\n",
        "                    </tr>\n",
        "                    <tr>\n",
        "                        <th> Dask graph </th>\n",
-       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
+       "                        <td colspan=\"2\"> 36 chunks in 2 graph layers </td>\n",
        "                    </tr>\n",
        "                    <tr>\n",
        "                        <th> Data type </th>\n",
@@ -19336,10 +19373,20 @@
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        "  <!-- Horizontal lines -->\n",
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+       "  <line x1=\"0\" y1=\"20\" x2=\"120\" y2=\"20\" />\n",
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        "\n",
        "  <!-- Vertical lines -->\n",
        "  <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"120\" style=\"stroke-width:2\" />\n",
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@@ -19351,7 +19398,7 @@
        "</svg>\n",
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        "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>measurements_r60m_b02</span></div><div class='xr-var-dims'>(measurements_r60m_y, measurements_r60m_x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1830, 1830), meta=np.ndarray&gt;</div><input id='attrs-b0c95605-9b0a-49ef-b256-197ef912da6d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b0c95605-9b0a-49ef-b256-197ef912da6d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3f4a56d3-f0b9-41e3-80a9-326434f49a4a' class='xr-var-data-in' type='checkbox'><label for='data-3f4a56d3-f0b9-41e3-80a9-326434f49a4a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;add_offset&#x27;: -0.1, &#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;fill_value&#x27;: 0, &#x27;scale_factor&#x27;: 0.0001, &#x27;units&#x27;: &#x27;digital_counts&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u2</dd><dt><span>fill_value :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>BOA reflectance from MSI acquisition at spectral band b02 492.7 nm</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 5190240.0, 609780.0, 5300040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32632</dd><dt><span>proj:shape :</span></dt><dd>[1830, 1830]</dd><dt><span>proj:transform :</span></dt><dd>[60.0, 0.0, 499980.0, 0.0, -60.0, 5300040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 32N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,9],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32632&quot;]]</dd><dt><span>units :</span></dt><dd>digital_counts</dd><dt><span>valid_max :</span></dt><dd>65535</dd><dt><span>valid_min :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><table>\n",
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        "                    \n",
        "                    <tr>\n",
        "                        <th> Bytes </th>\n",
-       "                        <td> 25.55 MiB </td>\n",
-       "                        <td> 25.55 MiB </td>\n",
+       "                        <td> 344.93 MiB </td>\n",
+       "                        <td> 3.19 MiB </td>\n",
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-       "                        <td> (1830, 1830) </td>\n",
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+       "                        <td> (1, 1830, 1830) </td>\n",
        "                    </tr>\n",
        "                    <tr>\n",
        "                        <th> Dask graph </th>\n",
-       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
+       "                        <td colspan=\"2\"> 108 chunks in 2 graph layers </td>\n",
        "                    </tr>\n",
        "                    <tr>\n",
        "                        <th> Data type </th>\n",
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-       "    <tr>\n",
-       "        <td>\n",
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-       "                    <tr>\n",
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-       "    <tr>\n",
-       "        <td>\n",
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-       "                    <tr>\n",
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-       "                    \n",
-       "                    <tr>\n",
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-       "                    \n",
-       "                    <tr>\n",
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-       "                    <tr>\n",
-       "                        <th> Dask graph </th>\n",
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        "                    \n",
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        "                        <th> Bytes </th>\n",
-       "                        <td> 25.55 MiB </td>\n",
-       "                        <td> 25.55 MiB </td>\n",
+       "                        <td> 114.98 MiB </td>\n",
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        "                    </tr>\n",
        "                    \n",
        "                    <tr>\n",
        "                        <th> Shape </th>\n",
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        "                        <td> (1830, 1830) </td>\n",
        "                    </tr>\n",
        "                    <tr>\n",
        "                        <th> Dask graph </th>\n",
-       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
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        "                    <tr>\n",
        "                        <th> Data type </th>\n",
-       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
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        "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>measurements_r60m_b06</span></div><div class='xr-var-dims'>(measurements_r60m_y, measurements_r60m_x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1830, 1830), meta=np.ndarray&gt;</div><input id='attrs-28fe54e9-f94a-4b1e-9793-cdc4aa59716e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-28fe54e9-f94a-4b1e-9793-cdc4aa59716e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5b6ea95d-817b-435f-b543-c364ec71d468' class='xr-var-data-in' type='checkbox'><label for='data-5b6ea95d-817b-435f-b543-c364ec71d468' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;add_offset&#x27;: -0.1, &#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;fill_value&#x27;: 0, &#x27;scale_factor&#x27;: 0.0001, &#x27;units&#x27;: &#x27;digital_counts&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u2</dd><dt><span>fill_value :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>BOA reflectance from MSI acquisition at spectral band b06 740.5 nm</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 5190240.0, 609780.0, 5300040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32632</dd><dt><span>proj:shape :</span></dt><dd>[1830, 1830]</dd><dt><span>proj:transform :</span></dt><dd>[60.0, 0.0, 499980.0, 0.0, -60.0, 5300040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 32N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,9],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32632&quot;]]</dd><dt><span>units :</span></dt><dd>digital_counts</dd><dt><span>valid_max :</span></dt><dd>65535</dd><dt><span>valid_min :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>quality_mask_r10m_b03</span></div><div class='xr-var-dims'>(quality_mask_r10m_y, quality_mask_r10m_x)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1830, 1830), meta=np.ndarray&gt;</div><input id='attrs-6ce71ca7-9b10-4f73-b34c-3fecd29a9038' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6ce71ca7-9b10-4f73-b34c-3fecd29a9038' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ecc7db0b-9fd8-482d-89ce-820a70ebfe58' class='xr-var-data-in' type='checkbox'><label for='data-ecc7db0b-9fd8-482d-89ce-820a70ebfe58' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;dtype&#x27;: &#x27;&lt;u1&#x27;, &#x27;flag_masks&#x27;: [1, 2, 4, 8, 16, 32, 64, 128], &#x27;flag_meanings&#x27;: [&#x27;ANC_LOST&#x27;, &#x27;ANC_DEG&#x27;, &#x27;MSI_LOST&#x27;, &#x27;MSI_DEG&#x27;, &#x27;QT_DEFECTIVE_PIXELS&#x27;, &#x27;QT_NODATA_PIXELS&#x27;, &#x27;QT_PARTIALLY_CORRECTED_PIXELS&#x27;, &#x27;QT_SATURATED_PIXELS_L1A&#x27;], &#x27;long_name&#x27;: &#x27;quality mask provided in the final reference frame (ground geometry)&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u1</dd><dt><span>flag_masks :</span></dt><dd>[1, 2, 4, 8, 16, 32, 64, 128]</dd><dt><span>flag_meanings :</span></dt><dd>[&#x27;ANC_LOST&#x27;, &#x27;ANC_DEG&#x27;, &#x27;MSI_LOST&#x27;, &#x27;MSI_DEG&#x27;, &#x27;QT_DEFECTIVE_PIXELS&#x27;, &#x27;QT_NODATA_PIXELS&#x27;, &#x27;QT_PARTIALLY_CORRECTED_PIXELS&#x27;, &#x27;QT_SATURATED_PIXELS_L1A&#x27;]</dd><dt><span>long_name :</span></dt><dd>quality mask provided in the final reference frame (ground geometry)</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 7890240.0, 609780.0, 8000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32625</dd><dt><span>proj:shape :</span></dt><dd>[10980, 10980]</dd><dt><span>proj:transform :</span></dt><dd>[10.0, 0.0, 499980.0, 0.0, -10.0, 8000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 25N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,-33],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32625&quot;]]</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -19586,22 +19580,22 @@
        "                    \n",
        "                    <tr>\n",
        "                        <th> Bytes </th>\n",
-       "                        <td> 25.55 MiB </td>\n",
-       "                        <td> 25.55 MiB </td>\n",
+       "                        <td> 114.98 MiB </td>\n",
+       "                        <td> 3.19 MiB </td>\n",
        "                    </tr>\n",
        "                    \n",
        "                    <tr>\n",
        "                        <th> Shape </th>\n",
-       "                        <td> (1830, 1830) </td>\n",
+       "                        <td> (10980, 10980) </td>\n",
        "                        <td> (1830, 1830) </td>\n",
        "                    </tr>\n",
        "                    <tr>\n",
        "                        <th> Dask graph </th>\n",
-       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
+       "                        <td colspan=\"2\"> 36 chunks in 2 graph layers </td>\n",
        "                    </tr>\n",
        "                    <tr>\n",
        "                        <th> Data type </th>\n",
-       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
+       "                        <td colspan=\"2\"> uint8 numpy.ndarray </td>\n",
        "                    </tr>\n",
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        "\n",
        "  <!-- Horizontal lines -->\n",
        "  <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n",
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        "\n",
        "  <!-- Vertical lines -->\n",
        "  <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"120\" style=\"stroke-width:2\" />\n",
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+       "  <line x1=\"40\" y1=\"0\" x2=\"40\" y2=\"120\" />\n",
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        "  <line x1=\"120\" y1=\"0\" x2=\"120\" y2=\"120\" style=\"stroke-width:2\" />\n",
        "\n",
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        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>measurements_r60m_b07</span></div><div class='xr-var-dims'>(measurements_r60m_y, measurements_r60m_x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1830, 1830), meta=np.ndarray&gt;</div><input id='attrs-f864850f-ba80-47ca-9158-f1042b968d59' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f864850f-ba80-47ca-9158-f1042b968d59' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c589afce-27c6-492d-bfb9-ccdd2267916d' class='xr-var-data-in' type='checkbox'><label for='data-c589afce-27c6-492d-bfb9-ccdd2267916d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;add_offset&#x27;: -0.1, &#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;fill_value&#x27;: 0, &#x27;scale_factor&#x27;: 0.0001, &#x27;units&#x27;: &#x27;digital_counts&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u2</dd><dt><span>fill_value :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>BOA reflectance from MSI acquisition at spectral band b07 782.8 nm</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 5190240.0, 609780.0, 5300040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32632</dd><dt><span>proj:shape :</span></dt><dd>[1830, 1830]</dd><dt><span>proj:transform :</span></dt><dd>[60.0, 0.0, 499980.0, 0.0, -60.0, 5300040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 32N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,9],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32632&quot;]]</dd><dt><span>units :</span></dt><dd>digital_counts</dd><dt><span>valid_max :</span></dt><dd>65535</dd><dt><span>valid_min :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>quality_mask_r10m_b04</span></div><div class='xr-var-dims'>(quality_mask_r10m_y, quality_mask_r10m_x)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1830, 1830), meta=np.ndarray&gt;</div><input id='attrs-da3c7463-4374-41c3-a652-757475e9c62c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-da3c7463-4374-41c3-a652-757475e9c62c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-47890dee-8843-4f81-87e5-7a2256c118c4' class='xr-var-data-in' type='checkbox'><label for='data-47890dee-8843-4f81-87e5-7a2256c118c4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;dtype&#x27;: &#x27;&lt;u1&#x27;, &#x27;flag_masks&#x27;: [1, 2, 4, 8, 16, 32, 64, 128], &#x27;flag_meanings&#x27;: [&#x27;ANC_LOST&#x27;, &#x27;ANC_DEG&#x27;, &#x27;MSI_LOST&#x27;, &#x27;MSI_DEG&#x27;, &#x27;QT_DEFECTIVE_PIXELS&#x27;, &#x27;QT_NODATA_PIXELS&#x27;, &#x27;QT_PARTIALLY_CORRECTED_PIXELS&#x27;, &#x27;QT_SATURATED_PIXELS_L1A&#x27;], &#x27;long_name&#x27;: &#x27;quality mask provided in the final reference frame (ground geometry)&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u1</dd><dt><span>flag_masks :</span></dt><dd>[1, 2, 4, 8, 16, 32, 64, 128]</dd><dt><span>flag_meanings :</span></dt><dd>[&#x27;ANC_LOST&#x27;, &#x27;ANC_DEG&#x27;, &#x27;MSI_LOST&#x27;, &#x27;MSI_DEG&#x27;, &#x27;QT_DEFECTIVE_PIXELS&#x27;, &#x27;QT_NODATA_PIXELS&#x27;, &#x27;QT_PARTIALLY_CORRECTED_PIXELS&#x27;, &#x27;QT_SATURATED_PIXELS_L1A&#x27;]</dd><dt><span>long_name :</span></dt><dd>quality mask provided in the final reference frame (ground geometry)</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 7890240.0, 609780.0, 8000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32625</dd><dt><span>proj:shape :</span></dt><dd>[10980, 10980]</dd><dt><span>proj:transform :</span></dt><dd>[10.0, 0.0, 499980.0, 0.0, -10.0, 8000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 25N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,-33],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32625&quot;]]</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -19641,22 +19645,22 @@
        "                    \n",
        "                    <tr>\n",
        "                        <th> Bytes </th>\n",
-       "                        <td> 25.55 MiB </td>\n",
-       "                        <td> 25.55 MiB </td>\n",
+       "                        <td> 114.98 MiB </td>\n",
+       "                        <td> 3.19 MiB </td>\n",
        "                    </tr>\n",
        "                    \n",
        "                    <tr>\n",
        "                        <th> Shape </th>\n",
-       "                        <td> (1830, 1830) </td>\n",
+       "                        <td> (10980, 10980) </td>\n",
        "                        <td> (1830, 1830) </td>\n",
        "                    </tr>\n",
        "                    <tr>\n",
        "                        <th> Dask graph </th>\n",
-       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
+       "                        <td colspan=\"2\"> 36 chunks in 2 graph layers </td>\n",
        "                    </tr>\n",
        "                    <tr>\n",
        "                        <th> Data type </th>\n",
-       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
+       "                        <td colspan=\"2\"> uint8 numpy.ndarray </td>\n",
        "                    </tr>\n",
        "                </tbody>\n",
        "            </table>\n",
@@ -19666,22 +19670,32 @@
        "\n",
        "  <!-- Horizontal lines -->\n",
        "  <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n",
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+       "  <line x1=\"40\" y1=\"0\" x2=\"40\" y2=\"120\" />\n",
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+       "  <text x=\"140.000000\" y=\"60.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,140.000000,60.000000)\">10980</text>\n",
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>measurements_r60m_b09</span></div><div class='xr-var-dims'>(measurements_r60m_y, measurements_r60m_x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1830, 1830), meta=np.ndarray&gt;</div><input id='attrs-b91ee193-1119-4bef-8225-c1dca570da26' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b91ee193-1119-4bef-8225-c1dca570da26' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-795e5f5a-9fad-4a00-b22c-34139c87e361' class='xr-var-data-in' type='checkbox'><label for='data-795e5f5a-9fad-4a00-b22c-34139c87e361' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;add_offset&#x27;: -0.1, &#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;fill_value&#x27;: 0, &#x27;scale_factor&#x27;: 0.0001, &#x27;units&#x27;: &#x27;digital_counts&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u2</dd><dt><span>fill_value :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>BOA reflectance from MSI acquisition at spectral band b09 945.1 nm</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 5190240.0, 609780.0, 5300040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32632</dd><dt><span>proj:shape :</span></dt><dd>[1830, 1830]</dd><dt><span>proj:transform :</span></dt><dd>[60.0, 0.0, 499980.0, 0.0, -60.0, 5300040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 32N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,9],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32632&quot;]]</dd><dt><span>units :</span></dt><dd>digital_counts</dd><dt><span>valid_max :</span></dt><dd>65535</dd><dt><span>valid_min :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>quality_mask_r10m_b08</span></div><div class='xr-var-dims'>(quality_mask_r10m_y, quality_mask_r10m_x)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1830, 1830), meta=np.ndarray&gt;</div><input id='attrs-663e51d2-3edf-41b6-90d3-c0105f213f81' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-663e51d2-3edf-41b6-90d3-c0105f213f81' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-74cea4bc-ec42-47ae-996b-ce42feda6496' class='xr-var-data-in' type='checkbox'><label for='data-74cea4bc-ec42-47ae-996b-ce42feda6496' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;dtype&#x27;: &#x27;&lt;u1&#x27;, &#x27;flag_masks&#x27;: [1, 2, 4, 8, 16, 32, 64, 128], &#x27;flag_meanings&#x27;: [&#x27;ANC_LOST&#x27;, &#x27;ANC_DEG&#x27;, &#x27;MSI_LOST&#x27;, &#x27;MSI_DEG&#x27;, &#x27;QT_DEFECTIVE_PIXELS&#x27;, &#x27;QT_NODATA_PIXELS&#x27;, &#x27;QT_PARTIALLY_CORRECTED_PIXELS&#x27;, &#x27;QT_SATURATED_PIXELS_L1A&#x27;], &#x27;long_name&#x27;: &#x27;quality mask provided in the final reference frame (ground geometry)&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u1</dd><dt><span>flag_masks :</span></dt><dd>[1, 2, 4, 8, 16, 32, 64, 128]</dd><dt><span>flag_meanings :</span></dt><dd>[&#x27;ANC_LOST&#x27;, &#x27;ANC_DEG&#x27;, &#x27;MSI_LOST&#x27;, &#x27;MSI_DEG&#x27;, &#x27;QT_DEFECTIVE_PIXELS&#x27;, &#x27;QT_NODATA_PIXELS&#x27;, &#x27;QT_PARTIALLY_CORRECTED_PIXELS&#x27;, &#x27;QT_SATURATED_PIXELS_L1A&#x27;]</dd><dt><span>long_name :</span></dt><dd>quality mask provided in the final reference frame (ground geometry)</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 7890240.0, 609780.0, 8000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32625</dd><dt><span>proj:shape :</span></dt><dd>[10980, 10980]</dd><dt><span>proj:transform :</span></dt><dd>[10.0, 0.0, 499980.0, 0.0, -10.0, 8000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 25N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,-33],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32625&quot;]]</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -19696,22 +19710,22 @@
        "                    \n",
        "                    <tr>\n",
        "                        <th> Bytes </th>\n",
-       "                        <td> 25.55 MiB </td>\n",
-       "                        <td> 25.55 MiB </td>\n",
+       "                        <td> 114.98 MiB </td>\n",
+       "                        <td> 3.19 MiB </td>\n",
        "                    </tr>\n",
        "                    \n",
        "                    <tr>\n",
        "                        <th> Shape </th>\n",
-       "                        <td> (1830, 1830) </td>\n",
+       "                        <td> (10980, 10980) </td>\n",
        "                        <td> (1830, 1830) </td>\n",
        "                    </tr>\n",
        "                    <tr>\n",
        "                        <th> Dask graph </th>\n",
-       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
+       "                        <td colspan=\"2\"> 36 chunks in 2 graph layers </td>\n",
        "                    </tr>\n",
        "                    <tr>\n",
        "                        <th> Data type </th>\n",
-       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
+       "                        <td colspan=\"2\"> uint8 numpy.ndarray </td>\n",
        "                    </tr>\n",
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@@ -19721,22 +19735,32 @@
        "\n",
        "  <!-- Horizontal lines -->\n",
        "  <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n",
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        "\n",
        "  <!-- Vertical lines -->\n",
        "  <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"120\" style=\"stroke-width:2\" />\n",
+       "  <line x1=\"20\" y1=\"0\" x2=\"20\" y2=\"120\" />\n",
+       "  <line x1=\"40\" y1=\"0\" x2=\"40\" y2=\"120\" />\n",
+       "  <line x1=\"60\" y1=\"0\" x2=\"60\" y2=\"120\" />\n",
+       "  <line x1=\"80\" y1=\"0\" x2=\"80\" y2=\"120\" />\n",
+       "  <line x1=\"100\" y1=\"0\" x2=\"100\" y2=\"120\" />\n",
        "  <line x1=\"120\" y1=\"0\" x2=\"120\" y2=\"120\" style=\"stroke-width:2\" />\n",
        "\n",
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        "  <polygon points=\"0.0,0.0 120.0,0.0 120.0,120.0 0.0,120.0\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
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+       "  <text x=\"60.000000\" y=\"140.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >10980</text>\n",
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        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>measurements_r60m_b11</span></div><div class='xr-var-dims'>(measurements_r60m_y, measurements_r60m_x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1830, 1830), meta=np.ndarray&gt;</div><input id='attrs-4b2eaa11-6218-438f-a90a-75f9205f4897' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4b2eaa11-6218-438f-a90a-75f9205f4897' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1815ec1b-a379-435e-83ff-6fa477123c24' class='xr-var-data-in' type='checkbox'><label for='data-1815ec1b-a379-435e-83ff-6fa477123c24' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;add_offset&#x27;: -0.1, &#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;fill_value&#x27;: 0, &#x27;scale_factor&#x27;: 0.0001, &#x27;units&#x27;: &#x27;digital_counts&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u2</dd><dt><span>fill_value :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>BOA reflectance from MSI acquisition at spectral band b11 1613.7 nm</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 5190240.0, 609780.0, 5300040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32632</dd><dt><span>proj:shape :</span></dt><dd>[1830, 1830]</dd><dt><span>proj:transform :</span></dt><dd>[60.0, 0.0, 499980.0, 0.0, -60.0, 5300040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 32N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,9],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32632&quot;]]</dd><dt><span>units :</span></dt><dd>digital_counts</dd><dt><span>valid_max :</span></dt><dd>65535</dd><dt><span>valid_min :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>quality_mask_r20m_b05</span></div><div class='xr-var-dims'>(quality_mask_r20m_y, quality_mask_r20m_x)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(915, 915), meta=np.ndarray&gt;</div><input id='attrs-98c87963-fa85-428b-8955-f6bdd7d0c1ad' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-98c87963-fa85-428b-8955-f6bdd7d0c1ad' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-45aba6b2-f610-49fa-bba9-abec5af3c9d0' class='xr-var-data-in' type='checkbox'><label for='data-45aba6b2-f610-49fa-bba9-abec5af3c9d0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;dtype&#x27;: &#x27;&lt;u1&#x27;, &#x27;flag_masks&#x27;: [1, 2, 4, 8, 16, 32, 64, 128], &#x27;flag_meanings&#x27;: [&#x27;ANC_LOST&#x27;, &#x27;ANC_DEG&#x27;, &#x27;MSI_LOST&#x27;, &#x27;MSI_DEG&#x27;, &#x27;QT_DEFECTIVE_PIXELS&#x27;, &#x27;QT_NODATA_PIXELS&#x27;, &#x27;QT_PARTIALLY_CORRECTED_PIXELS&#x27;, &#x27;QT_SATURATED_PIXELS_L1A&#x27;], &#x27;long_name&#x27;: &#x27;quality mask provided in the final reference frame (ground geometry)&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u1</dd><dt><span>flag_masks :</span></dt><dd>[1, 2, 4, 8, 16, 32, 64, 128]</dd><dt><span>flag_meanings :</span></dt><dd>[&#x27;ANC_LOST&#x27;, &#x27;ANC_DEG&#x27;, &#x27;MSI_LOST&#x27;, &#x27;MSI_DEG&#x27;, &#x27;QT_DEFECTIVE_PIXELS&#x27;, &#x27;QT_NODATA_PIXELS&#x27;, &#x27;QT_PARTIALLY_CORRECTED_PIXELS&#x27;, &#x27;QT_SATURATED_PIXELS_L1A&#x27;]</dd><dt><span>long_name :</span></dt><dd>quality mask provided in the final reference frame (ground geometry)</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 7890240.0, 609780.0, 8000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32625</dd><dt><span>proj:shape :</span></dt><dd>[5490, 5490]</dd><dt><span>proj:transform :</span></dt><dd>[20.0, 0.0, 499980.0, 0.0, -20.0, 8000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 25N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,-33],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32625&quot;]]</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -19751,22 +19775,22 @@
        "                    \n",
        "                    <tr>\n",
        "                        <th> Bytes </th>\n",
-       "                        <td> 25.55 MiB </td>\n",
-       "                        <td> 25.55 MiB </td>\n",
+       "                        <td> 28.74 MiB </td>\n",
+       "                        <td> 817.60 kiB </td>\n",
        "                    </tr>\n",
        "                    \n",
        "                    <tr>\n",
        "                        <th> Shape </th>\n",
-       "                        <td> (1830, 1830) </td>\n",
-       "                        <td> (1830, 1830) </td>\n",
+       "                        <td> (5490, 5490) </td>\n",
+       "                        <td> (915, 915) </td>\n",
        "                    </tr>\n",
        "                    <tr>\n",
        "                        <th> Dask graph </th>\n",
-       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
+       "                        <td colspan=\"2\"> 36 chunks in 2 graph layers </td>\n",
        "                    </tr>\n",
        "                    <tr>\n",
        "                        <th> Data type </th>\n",
-       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
+       "                        <td colspan=\"2\"> uint8 numpy.ndarray </td>\n",
        "                    </tr>\n",
        "                </tbody>\n",
        "            </table>\n",
@@ -19776,22 +19800,32 @@
        "\n",
        "  <!-- Horizontal lines -->\n",
        "  <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n",
+       "  <line x1=\"0\" y1=\"20\" x2=\"120\" y2=\"20\" />\n",
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        "\n",
        "  <!-- Vertical lines -->\n",
        "  <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"120\" style=\"stroke-width:2\" />\n",
+       "  <line x1=\"20\" y1=\"0\" x2=\"20\" y2=\"120\" />\n",
+       "  <line x1=\"40\" y1=\"0\" x2=\"40\" y2=\"120\" />\n",
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-       "  <text x=\"140.000000\" y=\"60.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,140.000000,60.000000)\">1830</text>\n",
+       "  <text x=\"60.000000\" y=\"140.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >5490</text>\n",
+       "  <text x=\"140.000000\" y=\"60.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,140.000000,60.000000)\">5490</text>\n",
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>measurements_r60m_b12</span></div><div class='xr-var-dims'>(measurements_r60m_y, measurements_r60m_x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1830, 1830), meta=np.ndarray&gt;</div><input id='attrs-8b4570f6-186a-4dd3-8836-1a6c0ca28685' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8b4570f6-186a-4dd3-8836-1a6c0ca28685' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a49c2e1f-03ba-4b77-bf3c-4127a82dc2f8' class='xr-var-data-in' type='checkbox'><label for='data-a49c2e1f-03ba-4b77-bf3c-4127a82dc2f8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;add_offset&#x27;: -0.1, &#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;fill_value&#x27;: 0, &#x27;scale_factor&#x27;: 0.0001, &#x27;units&#x27;: &#x27;digital_counts&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u2</dd><dt><span>fill_value :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>BOA reflectance from MSI acquisition at spectral band b12 2202.4 nm</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 5190240.0, 609780.0, 5300040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32632</dd><dt><span>proj:shape :</span></dt><dd>[1830, 1830]</dd><dt><span>proj:transform :</span></dt><dd>[60.0, 0.0, 499980.0, 0.0, -60.0, 5300040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 32N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,9],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32632&quot;]]</dd><dt><span>units :</span></dt><dd>digital_counts</dd><dt><span>valid_max :</span></dt><dd>65535</dd><dt><span>valid_min :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>quality_mask_r20m_b06</span></div><div class='xr-var-dims'>(quality_mask_r20m_y, quality_mask_r20m_x)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(915, 915), meta=np.ndarray&gt;</div><input id='attrs-b2f45f45-5799-48e1-9918-77fc93c6734b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b2f45f45-5799-48e1-9918-77fc93c6734b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-040f3087-8c07-471a-a47d-5d5f281bc741' class='xr-var-data-in' type='checkbox'><label for='data-040f3087-8c07-471a-a47d-5d5f281bc741' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;dtype&#x27;: &#x27;&lt;u1&#x27;, &#x27;flag_masks&#x27;: [1, 2, 4, 8, 16, 32, 64, 128], &#x27;flag_meanings&#x27;: [&#x27;ANC_LOST&#x27;, &#x27;ANC_DEG&#x27;, &#x27;MSI_LOST&#x27;, &#x27;MSI_DEG&#x27;, &#x27;QT_DEFECTIVE_PIXELS&#x27;, &#x27;QT_NODATA_PIXELS&#x27;, &#x27;QT_PARTIALLY_CORRECTED_PIXELS&#x27;, &#x27;QT_SATURATED_PIXELS_L1A&#x27;], &#x27;long_name&#x27;: &#x27;quality mask provided in the final reference frame (ground geometry)&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u1</dd><dt><span>flag_masks :</span></dt><dd>[1, 2, 4, 8, 16, 32, 64, 128]</dd><dt><span>flag_meanings :</span></dt><dd>[&#x27;ANC_LOST&#x27;, &#x27;ANC_DEG&#x27;, &#x27;MSI_LOST&#x27;, &#x27;MSI_DEG&#x27;, &#x27;QT_DEFECTIVE_PIXELS&#x27;, &#x27;QT_NODATA_PIXELS&#x27;, &#x27;QT_PARTIALLY_CORRECTED_PIXELS&#x27;, &#x27;QT_SATURATED_PIXELS_L1A&#x27;]</dd><dt><span>long_name :</span></dt><dd>quality mask provided in the final reference frame (ground geometry)</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 7890240.0, 609780.0, 8000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32625</dd><dt><span>proj:shape :</span></dt><dd>[5490, 5490]</dd><dt><span>proj:transform :</span></dt><dd>[20.0, 0.0, 499980.0, 0.0, -20.0, 8000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 25N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,-33],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32625&quot;]]</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -19806,22 +19840,22 @@
        "                    \n",
        "                    <tr>\n",
        "                        <th> Bytes </th>\n",
-       "                        <td> 25.55 MiB </td>\n",
-       "                        <td> 25.55 MiB </td>\n",
+       "                        <td> 28.74 MiB </td>\n",
+       "                        <td> 817.60 kiB </td>\n",
        "                    </tr>\n",
        "                    \n",
        "                    <tr>\n",
        "                        <th> Shape </th>\n",
-       "                        <td> (1830, 1830) </td>\n",
-       "                        <td> (1830, 1830) </td>\n",
+       "                        <td> (5490, 5490) </td>\n",
+       "                        <td> (915, 915) </td>\n",
        "                    </tr>\n",
        "                    <tr>\n",
        "                        <th> Dask graph </th>\n",
-       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
+       "                        <td colspan=\"2\"> 36 chunks in 2 graph layers </td>\n",
        "                    </tr>\n",
        "                    <tr>\n",
        "                        <th> Data type </th>\n",
-       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
+       "                        <td colspan=\"2\"> uint8 numpy.ndarray </td>\n",
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@@ -19831,22 +19865,32 @@
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        "\n",
        "  <!-- Vertical lines -->\n",
        "  <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"120\" style=\"stroke-width:2\" />\n",
+       "  <line x1=\"20\" y1=\"0\" x2=\"20\" y2=\"120\" />\n",
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        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>measurements_r60m_b8a</span></div><div class='xr-var-dims'>(measurements_r60m_y, measurements_r60m_x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1830, 1830), meta=np.ndarray&gt;</div><input id='attrs-c18381c2-1f46-417b-bfd8-3bf52cac3b50' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c18381c2-1f46-417b-bfd8-3bf52cac3b50' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d4e4b14b-4458-4686-ac4c-17c35ebf4354' class='xr-var-data-in' type='checkbox'><label for='data-d4e4b14b-4458-4686-ac4c-17c35ebf4354' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;add_offset&#x27;: -0.1, &#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;fill_value&#x27;: 0, &#x27;scale_factor&#x27;: 0.0001, &#x27;units&#x27;: &#x27;digital_counts&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u2</dd><dt><span>fill_value :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>BOA reflectance from MSI acquisition at spectral band b8a 864.7 nm</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 5190240.0, 609780.0, 5300040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32632</dd><dt><span>proj:shape :</span></dt><dd>[1830, 1830]</dd><dt><span>proj:transform :</span></dt><dd>[60.0, 0.0, 499980.0, 0.0, -60.0, 5300040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 32N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,9],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32632&quot;]]</dd><dt><span>units :</span></dt><dd>digital_counts</dd><dt><span>valid_max :</span></dt><dd>65535</dd><dt><span>valid_min :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>quality_mask_r20m_b07</span></div><div class='xr-var-dims'>(quality_mask_r20m_y, quality_mask_r20m_x)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(915, 915), meta=np.ndarray&gt;</div><input id='attrs-05b259eb-e6b4-4e8b-8961-37fd8c38dffb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-05b259eb-e6b4-4e8b-8961-37fd8c38dffb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d8212bab-0b0d-4729-8bd5-08906aa5245b' class='xr-var-data-in' type='checkbox'><label for='data-d8212bab-0b0d-4729-8bd5-08906aa5245b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;dtype&#x27;: &#x27;&lt;u1&#x27;, &#x27;flag_masks&#x27;: [1, 2, 4, 8, 16, 32, 64, 128], &#x27;flag_meanings&#x27;: [&#x27;ANC_LOST&#x27;, &#x27;ANC_DEG&#x27;, &#x27;MSI_LOST&#x27;, &#x27;MSI_DEG&#x27;, &#x27;QT_DEFECTIVE_PIXELS&#x27;, &#x27;QT_NODATA_PIXELS&#x27;, &#x27;QT_PARTIALLY_CORRECTED_PIXELS&#x27;, &#x27;QT_SATURATED_PIXELS_L1A&#x27;], &#x27;long_name&#x27;: &#x27;quality mask provided in the final reference frame (ground geometry)&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u1</dd><dt><span>flag_masks :</span></dt><dd>[1, 2, 4, 8, 16, 32, 64, 128]</dd><dt><span>flag_meanings :</span></dt><dd>[&#x27;ANC_LOST&#x27;, &#x27;ANC_DEG&#x27;, &#x27;MSI_LOST&#x27;, &#x27;MSI_DEG&#x27;, &#x27;QT_DEFECTIVE_PIXELS&#x27;, &#x27;QT_NODATA_PIXELS&#x27;, &#x27;QT_PARTIALLY_CORRECTED_PIXELS&#x27;, &#x27;QT_SATURATED_PIXELS_L1A&#x27;]</dd><dt><span>long_name :</span></dt><dd>quality mask provided in the final reference frame (ground geometry)</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 7890240.0, 609780.0, 8000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32625</dd><dt><span>proj:shape :</span></dt><dd>[5490, 5490]</dd><dt><span>proj:transform :</span></dt><dd>[20.0, 0.0, 499980.0, 0.0, -20.0, 8000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 25N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,-33],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32625&quot;]]</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -19861,22 +19905,22 @@
        "                    \n",
        "                    <tr>\n",
        "                        <th> Bytes </th>\n",
-       "                        <td> 25.55 MiB </td>\n",
-       "                        <td> 25.55 MiB </td>\n",
+       "                        <td> 28.74 MiB </td>\n",
+       "                        <td> 817.60 kiB </td>\n",
        "                    </tr>\n",
        "                    \n",
        "                    <tr>\n",
        "                        <th> Shape </th>\n",
-       "                        <td> (1830, 1830) </td>\n",
-       "                        <td> (1830, 1830) </td>\n",
+       "                        <td> (5490, 5490) </td>\n",
+       "                        <td> (915, 915) </td>\n",
        "                    </tr>\n",
        "                    <tr>\n",
        "                        <th> Dask graph </th>\n",
-       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
+       "                        <td colspan=\"2\"> 36 chunks in 2 graph layers </td>\n",
        "                    </tr>\n",
        "                    <tr>\n",
        "                        <th> Data type </th>\n",
-       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
+       "                        <td colspan=\"2\"> uint8 numpy.ndarray </td>\n",
        "                    </tr>\n",
        "                </tbody>\n",
        "            </table>\n",
@@ -19886,22 +19930,32 @@
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        "  <!-- Horizontal lines -->\n",
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        "  <!-- Vertical lines -->\n",
        "  <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"120\" style=\"stroke-width:2\" />\n",
+       "  <line x1=\"20\" y1=\"0\" x2=\"20\" y2=\"120\" />\n",
+       "  <line x1=\"40\" y1=\"0\" x2=\"40\" y2=\"120\" />\n",
+       "  <line x1=\"60\" y1=\"0\" x2=\"60\" y2=\"120\" />\n",
+       "  <line x1=\"80\" y1=\"0\" x2=\"80\" y2=\"120\" />\n",
+       "  <line x1=\"100\" y1=\"0\" x2=\"100\" y2=\"120\" />\n",
        "  <line x1=\"120\" y1=\"0\" x2=\"120\" y2=\"120\" style=\"stroke-width:2\" />\n",
        "\n",
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        "  <polygon points=\"0.0,0.0 120.0,0.0 120.0,120.0 0.0,120.0\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
        "\n",
        "  <!-- Text -->\n",
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-       "  <text x=\"140.000000\" y=\"60.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,140.000000,60.000000)\">1830</text>\n",
+       "  <text x=\"60.000000\" y=\"140.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >5490</text>\n",
+       "  <text x=\"140.000000\" y=\"60.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,140.000000,60.000000)\">5490</text>\n",
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>quality_atmosphere_r10m_aot</span></div><div class='xr-var-dims'>(quality_atmosphere_r10m_y, quality_atmosphere_r10m_x)</div><div class='xr-var-dtype'>uint16</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(10980, 10980), meta=np.ndarray&gt;</div><input id='attrs-7b4ca9bd-ae31-4d91-8db9-8cd487108e89' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7b4ca9bd-ae31-4d91-8db9-8cd487108e89' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-13e54bc7-cf54-4861-8d4f-14a4278c0ac8' class='xr-var-data-in' type='checkbox'><label for='data-13e54bc7-cf54-4861-8d4f-14a4278c0ac8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;]}</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 5190240.0, 609780.0, 5300040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32632</dd><dt><span>proj:shape :</span></dt><dd>[10980, 10980]</dd><dt><span>proj:transform :</span></dt><dd>[10.0, 0.0, 499980.0, 0.0, -10.0, 5300040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 32N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,9],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32632&quot;]]</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>quality_mask_r20m_b11</span></div><div class='xr-var-dims'>(quality_mask_r20m_y, quality_mask_r20m_x)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(915, 915), meta=np.ndarray&gt;</div><input id='attrs-b8a06dfb-3a75-40e9-b6d2-3fae5589fd21' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b8a06dfb-3a75-40e9-b6d2-3fae5589fd21' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9844567f-5018-4130-b931-f457b5d180b4' class='xr-var-data-in' type='checkbox'><label for='data-9844567f-5018-4130-b931-f457b5d180b4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;dtype&#x27;: &#x27;&lt;u1&#x27;, &#x27;flag_masks&#x27;: [1, 2, 4, 8, 16, 32, 64, 128], &#x27;flag_meanings&#x27;: [&#x27;ANC_LOST&#x27;, &#x27;ANC_DEG&#x27;, &#x27;MSI_LOST&#x27;, &#x27;MSI_DEG&#x27;, &#x27;QT_DEFECTIVE_PIXELS&#x27;, &#x27;QT_NODATA_PIXELS&#x27;, &#x27;QT_PARTIALLY_CORRECTED_PIXELS&#x27;, &#x27;QT_SATURATED_PIXELS_L1A&#x27;], &#x27;long_name&#x27;: &#x27;quality mask provided in the final reference frame (ground geometry)&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u1</dd><dt><span>flag_masks :</span></dt><dd>[1, 2, 4, 8, 16, 32, 64, 128]</dd><dt><span>flag_meanings :</span></dt><dd>[&#x27;ANC_LOST&#x27;, &#x27;ANC_DEG&#x27;, &#x27;MSI_LOST&#x27;, &#x27;MSI_DEG&#x27;, &#x27;QT_DEFECTIVE_PIXELS&#x27;, &#x27;QT_NODATA_PIXELS&#x27;, &#x27;QT_PARTIALLY_CORRECTED_PIXELS&#x27;, &#x27;QT_SATURATED_PIXELS_L1A&#x27;]</dd><dt><span>long_name :</span></dt><dd>quality mask provided in the final reference frame (ground geometry)</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 7890240.0, 609780.0, 8000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32625</dd><dt><span>proj:shape :</span></dt><dd>[5490, 5490]</dd><dt><span>proj:transform :</span></dt><dd>[20.0, 0.0, 499980.0, 0.0, -20.0, 8000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 25N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,-33],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32625&quot;]]</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -19916,22 +19970,22 @@
        "                    \n",
        "                    <tr>\n",
        "                        <th> Bytes </th>\n",
-       "                        <td> 229.95 MiB </td>\n",
-       "                        <td> 229.95 MiB </td>\n",
+       "                        <td> 28.74 MiB </td>\n",
+       "                        <td> 817.60 kiB </td>\n",
        "                    </tr>\n",
        "                    \n",
        "                    <tr>\n",
        "                        <th> Shape </th>\n",
-       "                        <td> (10980, 10980) </td>\n",
-       "                        <td> (10980, 10980) </td>\n",
+       "                        <td> (5490, 5490) </td>\n",
+       "                        <td> (915, 915) </td>\n",
        "                    </tr>\n",
        "                    <tr>\n",
        "                        <th> Dask graph </th>\n",
-       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
+       "                        <td colspan=\"2\"> 36 chunks in 2 graph layers </td>\n",
        "                    </tr>\n",
        "                    <tr>\n",
        "                        <th> Data type </th>\n",
-       "                        <td colspan=\"2\"> uint16 numpy.ndarray </td>\n",
+       "                        <td colspan=\"2\"> uint8 numpy.ndarray </td>\n",
        "                    </tr>\n",
        "                </tbody>\n",
        "            </table>\n",
@@ -19941,22 +19995,32 @@
        "\n",
        "  <!-- Horizontal lines -->\n",
        "  <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n",
+       "  <line x1=\"0\" y1=\"20\" x2=\"120\" y2=\"20\" />\n",
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+       "  <line x1=\"0\" y1=\"60\" x2=\"120\" y2=\"60\" />\n",
+       "  <line x1=\"0\" y1=\"80\" x2=\"120\" y2=\"80\" />\n",
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        "  <line x1=\"0\" y1=\"120\" x2=\"120\" y2=\"120\" style=\"stroke-width:2\" />\n",
        "\n",
        "  <!-- Vertical lines -->\n",
        "  <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"120\" style=\"stroke-width:2\" />\n",
+       "  <line x1=\"20\" y1=\"0\" x2=\"20\" y2=\"120\" />\n",
+       "  <line x1=\"40\" y1=\"0\" x2=\"40\" y2=\"120\" />\n",
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        "  <line x1=\"120\" y1=\"0\" x2=\"120\" y2=\"120\" style=\"stroke-width:2\" />\n",
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-       "  <text x=\"140.000000\" y=\"60.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,140.000000,60.000000)\">10980</text>\n",
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        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>quality_atmosphere_r10m_wvp</span></div><div class='xr-var-dims'>(quality_atmosphere_r10m_y, quality_atmosphere_r10m_x)</div><div class='xr-var-dtype'>uint16</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(10980, 10980), meta=np.ndarray&gt;</div><input id='attrs-57adb285-0861-448a-87b7-9c42242dc540' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-57adb285-0861-448a-87b7-9c42242dc540' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-347b8450-be8f-4b38-a905-ad3d2113c3a8' class='xr-var-data-in' type='checkbox'><label for='data-347b8450-be8f-4b38-a905-ad3d2113c3a8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;]}</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 5190240.0, 609780.0, 5300040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32632</dd><dt><span>proj:shape :</span></dt><dd>[10980, 10980]</dd><dt><span>proj:transform :</span></dt><dd>[10.0, 0.0, 499980.0, 0.0, -10.0, 5300040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 32N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,9],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32632&quot;]]</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>quality_mask_r20m_b12</span></div><div class='xr-var-dims'>(quality_mask_r20m_y, quality_mask_r20m_x)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(915, 915), meta=np.ndarray&gt;</div><input id='attrs-d8c197de-948f-4574-99f3-10ad9ceb722c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d8c197de-948f-4574-99f3-10ad9ceb722c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ca3d7dc1-bc61-4e6c-b15b-c6ac4b859c4d' class='xr-var-data-in' type='checkbox'><label for='data-ca3d7dc1-bc61-4e6c-b15b-c6ac4b859c4d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;dtype&#x27;: &#x27;&lt;u1&#x27;, &#x27;flag_masks&#x27;: [1, 2, 4, 8, 16, 32, 64, 128], &#x27;flag_meanings&#x27;: [&#x27;ANC_LOST&#x27;, &#x27;ANC_DEG&#x27;, &#x27;MSI_LOST&#x27;, &#x27;MSI_DEG&#x27;, &#x27;QT_DEFECTIVE_PIXELS&#x27;, &#x27;QT_NODATA_PIXELS&#x27;, &#x27;QT_PARTIALLY_CORRECTED_PIXELS&#x27;, &#x27;QT_SATURATED_PIXELS_L1A&#x27;], &#x27;long_name&#x27;: &#x27;quality mask provided in the final reference frame (ground geometry)&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u1</dd><dt><span>flag_masks :</span></dt><dd>[1, 2, 4, 8, 16, 32, 64, 128]</dd><dt><span>flag_meanings :</span></dt><dd>[&#x27;ANC_LOST&#x27;, &#x27;ANC_DEG&#x27;, &#x27;MSI_LOST&#x27;, &#x27;MSI_DEG&#x27;, &#x27;QT_DEFECTIVE_PIXELS&#x27;, &#x27;QT_NODATA_PIXELS&#x27;, &#x27;QT_PARTIALLY_CORRECTED_PIXELS&#x27;, &#x27;QT_SATURATED_PIXELS_L1A&#x27;]</dd><dt><span>long_name :</span></dt><dd>quality mask provided in the final reference frame (ground geometry)</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 7890240.0, 609780.0, 8000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32625</dd><dt><span>proj:shape :</span></dt><dd>[5490, 5490]</dd><dt><span>proj:transform :</span></dt><dd>[20.0, 0.0, 499980.0, 0.0, -20.0, 8000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 25N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,-33],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32625&quot;]]</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -19971,22 +20035,22 @@
        "                    \n",
        "                    <tr>\n",
        "                        <th> Bytes </th>\n",
-       "                        <td> 229.95 MiB </td>\n",
-       "                        <td> 229.95 MiB </td>\n",
+       "                        <td> 28.74 MiB </td>\n",
+       "                        <td> 817.60 kiB </td>\n",
        "                    </tr>\n",
        "                    \n",
        "                    <tr>\n",
        "                        <th> Shape </th>\n",
-       "                        <td> (10980, 10980) </td>\n",
-       "                        <td> (10980, 10980) </td>\n",
+       "                        <td> (5490, 5490) </td>\n",
+       "                        <td> (915, 915) </td>\n",
        "                    </tr>\n",
        "                    <tr>\n",
        "                        <th> Dask graph </th>\n",
-       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
+       "                        <td colspan=\"2\"> 36 chunks in 2 graph layers </td>\n",
        "                    </tr>\n",
        "                    <tr>\n",
        "                        <th> Data type </th>\n",
-       "                        <td colspan=\"2\"> uint16 numpy.ndarray </td>\n",
+       "                        <td colspan=\"2\"> uint8 numpy.ndarray </td>\n",
        "                    </tr>\n",
        "                </tbody>\n",
        "            </table>\n",
@@ -19996,22 +20060,32 @@
        "\n",
        "  <!-- Horizontal lines -->\n",
        "  <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n",
+       "  <line x1=\"0\" y1=\"20\" x2=\"120\" y2=\"20\" />\n",
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        "  <line x1=\"0\" y1=\"120\" x2=\"120\" y2=\"120\" style=\"stroke-width:2\" />\n",
        "\n",
        "  <!-- Vertical lines -->\n",
        "  <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"120\" style=\"stroke-width:2\" />\n",
+       "  <line x1=\"20\" y1=\"0\" x2=\"20\" y2=\"120\" />\n",
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        "  <line x1=\"120\" y1=\"0\" x2=\"120\" y2=\"120\" style=\"stroke-width:2\" />\n",
        "\n",
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        "  <polygon points=\"0.0,0.0 120.0,0.0 120.0,120.0 0.0,120.0\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
        "\n",
        "  <!-- Text -->\n",
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-       "  <text x=\"140.000000\" y=\"60.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,140.000000,60.000000)\">10980</text>\n",
+       "  <text x=\"60.000000\" y=\"140.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >5490</text>\n",
+       "  <text x=\"140.000000\" y=\"60.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,140.000000,60.000000)\">5490</text>\n",
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>quality_atmosphere_r20m_aot</span></div><div class='xr-var-dims'>(quality_atmosphere_r20m_y, quality_atmosphere_r20m_x)</div><div class='xr-var-dtype'>uint16</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(5490, 5490), meta=np.ndarray&gt;</div><input id='attrs-6294603e-6409-412e-8705-ae408d75024d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6294603e-6409-412e-8705-ae408d75024d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7524e865-0c4e-4b76-b619-5528af9dcc87' class='xr-var-data-in' type='checkbox'><label for='data-7524e865-0c4e-4b76-b619-5528af9dcc87' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;]}</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 5190240.0, 609780.0, 5300040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32632</dd><dt><span>proj:shape :</span></dt><dd>[5490, 5490]</dd><dt><span>proj:transform :</span></dt><dd>[20.0, 0.0, 499980.0, 0.0, -20.0, 5300040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 32N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,9],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32632&quot;]]</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>quality_mask_r20m_b8a</span></div><div class='xr-var-dims'>(quality_mask_r20m_y, quality_mask_r20m_x)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(915, 915), meta=np.ndarray&gt;</div><input id='attrs-bf55c884-0955-4d60-96e9-fee631aa7bb1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bf55c884-0955-4d60-96e9-fee631aa7bb1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ecf76432-3dbd-44ec-bbde-60806c42c074' class='xr-var-data-in' type='checkbox'><label for='data-ecf76432-3dbd-44ec-bbde-60806c42c074' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;dtype&#x27;: &#x27;&lt;u1&#x27;, &#x27;flag_masks&#x27;: [1, 2, 4, 8, 16, 32, 64, 128], &#x27;flag_meanings&#x27;: [&#x27;ANC_LOST&#x27;, &#x27;ANC_DEG&#x27;, &#x27;MSI_LOST&#x27;, &#x27;MSI_DEG&#x27;, &#x27;QT_DEFECTIVE_PIXELS&#x27;, &#x27;QT_NODATA_PIXELS&#x27;, &#x27;QT_PARTIALLY_CORRECTED_PIXELS&#x27;, &#x27;QT_SATURATED_PIXELS_L1A&#x27;], &#x27;long_name&#x27;: &#x27;quality mask provided in the final reference frame (ground geometry)&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u1</dd><dt><span>flag_masks :</span></dt><dd>[1, 2, 4, 8, 16, 32, 64, 128]</dd><dt><span>flag_meanings :</span></dt><dd>[&#x27;ANC_LOST&#x27;, &#x27;ANC_DEG&#x27;, &#x27;MSI_LOST&#x27;, &#x27;MSI_DEG&#x27;, &#x27;QT_DEFECTIVE_PIXELS&#x27;, &#x27;QT_NODATA_PIXELS&#x27;, &#x27;QT_PARTIALLY_CORRECTED_PIXELS&#x27;, &#x27;QT_SATURATED_PIXELS_L1A&#x27;]</dd><dt><span>long_name :</span></dt><dd>quality mask provided in the final reference frame (ground geometry)</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 7890240.0, 609780.0, 8000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32625</dd><dt><span>proj:shape :</span></dt><dd>[5490, 5490]</dd><dt><span>proj:transform :</span></dt><dd>[20.0, 0.0, 499980.0, 0.0, -20.0, 8000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 25N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,-33],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32625&quot;]]</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -20026,22 +20100,22 @@
        "                    \n",
        "                    <tr>\n",
        "                        <th> Bytes </th>\n",
-       "                        <td> 57.49 MiB </td>\n",
-       "                        <td> 57.49 MiB </td>\n",
+       "                        <td> 28.74 MiB </td>\n",
+       "                        <td> 817.60 kiB </td>\n",
        "                    </tr>\n",
        "                    \n",
        "                    <tr>\n",
        "                        <th> Shape </th>\n",
        "                        <td> (5490, 5490) </td>\n",
-       "                        <td> (5490, 5490) </td>\n",
+       "                        <td> (915, 915) </td>\n",
        "                    </tr>\n",
        "                    <tr>\n",
        "                        <th> Dask graph </th>\n",
-       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
+       "                        <td colspan=\"2\"> 36 chunks in 2 graph layers </td>\n",
        "                    </tr>\n",
        "                    <tr>\n",
        "                        <th> Data type </th>\n",
-       "                        <td colspan=\"2\"> uint16 numpy.ndarray </td>\n",
+       "                        <td colspan=\"2\"> uint8 numpy.ndarray </td>\n",
        "                    </tr>\n",
        "                </tbody>\n",
        "            </table>\n",
@@ -20051,10 +20125,20 @@
        "\n",
        "  <!-- Horizontal lines -->\n",
        "  <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n",
+       "  <line x1=\"0\" y1=\"20\" x2=\"120\" y2=\"20\" />\n",
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        "\n",
        "  <!-- Vertical lines -->\n",
        "  <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"120\" style=\"stroke-width:2\" />\n",
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+       "  <line x1=\"40\" y1=\"0\" x2=\"40\" y2=\"120\" />\n",
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@@ -20066,7 +20150,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>quality_atmosphere_r20m_wvp</span></div><div class='xr-var-dims'>(quality_atmosphere_r20m_y, quality_atmosphere_r20m_x)</div><div class='xr-var-dtype'>uint16</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(5490, 5490), meta=np.ndarray&gt;</div><input id='attrs-93820f37-8c52-46de-98f0-0f34463bb986' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-93820f37-8c52-46de-98f0-0f34463bb986' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2e6f385c-7145-4e06-bba7-80f0b1dd2224' class='xr-var-data-in' type='checkbox'><label for='data-2e6f385c-7145-4e06-bba7-80f0b1dd2224' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;]}</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 5190240.0, 609780.0, 5300040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32632</dd><dt><span>proj:shape :</span></dt><dd>[5490, 5490]</dd><dt><span>proj:transform :</span></dt><dd>[20.0, 0.0, 499980.0, 0.0, -20.0, 5300040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 32N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,9],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32632&quot;]]</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>quality_mask_r60m_b01</span></div><div class='xr-var-dims'>(quality_mask_r60m_y, quality_mask_r60m_x)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(305, 305), meta=np.ndarray&gt;</div><input id='attrs-6da47d61-1e84-411e-9c6d-4aae1cf43d52' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6da47d61-1e84-411e-9c6d-4aae1cf43d52' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9e85e23c-f083-4f65-a42b-4268cfd3a295' class='xr-var-data-in' type='checkbox'><label for='data-9e85e23c-f083-4f65-a42b-4268cfd3a295' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;dtype&#x27;: &#x27;&lt;u1&#x27;, &#x27;flag_masks&#x27;: [1, 2, 4, 8, 16, 32, 64, 128], &#x27;flag_meanings&#x27;: [&#x27;ANC_LOST&#x27;, &#x27;ANC_DEG&#x27;, &#x27;MSI_LOST&#x27;, &#x27;MSI_DEG&#x27;, &#x27;QT_DEFECTIVE_PIXELS&#x27;, &#x27;QT_NODATA_PIXELS&#x27;, &#x27;QT_PARTIALLY_CORRECTED_PIXELS&#x27;, &#x27;QT_SATURATED_PIXELS_L1A&#x27;], &#x27;long_name&#x27;: &#x27;quality mask provided in the final reference frame (ground geometry)&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u1</dd><dt><span>flag_masks :</span></dt><dd>[1, 2, 4, 8, 16, 32, 64, 128]</dd><dt><span>flag_meanings :</span></dt><dd>[&#x27;ANC_LOST&#x27;, &#x27;ANC_DEG&#x27;, &#x27;MSI_LOST&#x27;, &#x27;MSI_DEG&#x27;, &#x27;QT_DEFECTIVE_PIXELS&#x27;, &#x27;QT_NODATA_PIXELS&#x27;, &#x27;QT_PARTIALLY_CORRECTED_PIXELS&#x27;, &#x27;QT_SATURATED_PIXELS_L1A&#x27;]</dd><dt><span>long_name :</span></dt><dd>quality mask provided in the final reference frame (ground geometry)</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 7890240.0, 609780.0, 8000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32625</dd><dt><span>proj:shape :</span></dt><dd>[1830, 1830]</dd><dt><span>proj:transform :</span></dt><dd>[60.0, 0.0, 499980.0, 0.0, -60.0, 8000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 25N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,-33],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32625&quot;]]</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -20081,22 +20165,22 @@
        "                    \n",
        "                    <tr>\n",
        "                        <th> Bytes </th>\n",
-       "                        <td> 57.49 MiB </td>\n",
-       "                        <td> 57.49 MiB </td>\n",
+       "                        <td> 3.19 MiB </td>\n",
+       "                        <td> 90.84 kiB </td>\n",
        "                    </tr>\n",
        "                    \n",
        "                    <tr>\n",
        "                        <th> Shape </th>\n",
-       "                        <td> (5490, 5490) </td>\n",
-       "                        <td> (5490, 5490) </td>\n",
+       "                        <td> (1830, 1830) </td>\n",
+       "                        <td> (305, 305) </td>\n",
        "                    </tr>\n",
        "                    <tr>\n",
        "                        <th> Dask graph </th>\n",
-       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
+       "                        <td colspan=\"2\"> 36 chunks in 2 graph layers </td>\n",
        "                    </tr>\n",
        "                    <tr>\n",
        "                        <th> Data type </th>\n",
-       "                        <td colspan=\"2\"> uint16 numpy.ndarray </td>\n",
+       "                        <td colspan=\"2\"> uint8 numpy.ndarray </td>\n",
        "                    </tr>\n",
        "                </tbody>\n",
        "            </table>\n",
@@ -20106,22 +20190,32 @@
        "\n",
        "  <!-- Horizontal lines -->\n",
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        "  <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"120\" style=\"stroke-width:2\" />\n",
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        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>quality_atmosphere_r60m_aot</span></div><div class='xr-var-dims'>(quality_atmosphere_r60m_y, quality_atmosphere_r60m_x)</div><div class='xr-var-dtype'>uint16</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1830, 1830), meta=np.ndarray&gt;</div><input id='attrs-511b6eff-7346-410e-ba0d-2eb9fefcefe8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-511b6eff-7346-410e-ba0d-2eb9fefcefe8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e5d5dbf6-333f-4fec-b4c0-c10c118a13dc' class='xr-var-data-in' type='checkbox'><label for='data-e5d5dbf6-333f-4fec-b4c0-c10c118a13dc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;]}</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 5190240.0, 609780.0, 5300040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32632</dd><dt><span>proj:shape :</span></dt><dd>[1830, 1830]</dd><dt><span>proj:transform :</span></dt><dd>[60.0, 0.0, 499980.0, 0.0, -60.0, 5300040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 32N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,9],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32632&quot;]]</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>quality_mask_r60m_b09</span></div><div class='xr-var-dims'>(quality_mask_r60m_y, quality_mask_r60m_x)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(305, 305), meta=np.ndarray&gt;</div><input id='attrs-d56a4c19-e0c1-405c-82fc-34d5658359a7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d56a4c19-e0c1-405c-82fc-34d5658359a7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7fd457ee-41f8-44c3-a2a6-4c3b353c8c80' class='xr-var-data-in' type='checkbox'><label for='data-7fd457ee-41f8-44c3-a2a6-4c3b353c8c80' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;dtype&#x27;: &#x27;&lt;u1&#x27;, &#x27;flag_masks&#x27;: [1, 2, 4, 8, 16, 32, 64, 128], &#x27;flag_meanings&#x27;: [&#x27;ANC_LOST&#x27;, &#x27;ANC_DEG&#x27;, &#x27;MSI_LOST&#x27;, &#x27;MSI_DEG&#x27;, &#x27;QT_DEFECTIVE_PIXELS&#x27;, &#x27;QT_NODATA_PIXELS&#x27;, &#x27;QT_PARTIALLY_CORRECTED_PIXELS&#x27;, &#x27;QT_SATURATED_PIXELS_L1A&#x27;], &#x27;long_name&#x27;: &#x27;quality mask provided in the final reference frame (ground geometry)&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u1</dd><dt><span>flag_masks :</span></dt><dd>[1, 2, 4, 8, 16, 32, 64, 128]</dd><dt><span>flag_meanings :</span></dt><dd>[&#x27;ANC_LOST&#x27;, &#x27;ANC_DEG&#x27;, &#x27;MSI_LOST&#x27;, &#x27;MSI_DEG&#x27;, &#x27;QT_DEFECTIVE_PIXELS&#x27;, &#x27;QT_NODATA_PIXELS&#x27;, &#x27;QT_PARTIALLY_CORRECTED_PIXELS&#x27;, &#x27;QT_SATURATED_PIXELS_L1A&#x27;]</dd><dt><span>long_name :</span></dt><dd>quality mask provided in the final reference frame (ground geometry)</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 7890240.0, 609780.0, 8000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32625</dd><dt><span>proj:shape :</span></dt><dd>[1830, 1830]</dd><dt><span>proj:transform :</span></dt><dd>[60.0, 0.0, 499980.0, 0.0, -60.0, 8000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 25N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,-33],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32625&quot;]]</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -20136,22 +20230,22 @@
        "                    \n",
        "                    <tr>\n",
        "                        <th> Bytes </th>\n",
-       "                        <td> 6.39 MiB </td>\n",
-       "                        <td> 6.39 MiB </td>\n",
+       "                        <td> 3.19 MiB </td>\n",
+       "                        <td> 90.84 kiB </td>\n",
        "                    </tr>\n",
        "                    \n",
        "                    <tr>\n",
        "                        <th> Shape </th>\n",
        "                        <td> (1830, 1830) </td>\n",
-       "                        <td> (1830, 1830) </td>\n",
+       "                        <td> (305, 305) </td>\n",
        "                    </tr>\n",
        "                    <tr>\n",
        "                        <th> Dask graph </th>\n",
-       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
+       "                        <td colspan=\"2\"> 36 chunks in 2 graph layers </td>\n",
        "                    </tr>\n",
        "                    <tr>\n",
        "                        <th> Data type </th>\n",
-       "                        <td colspan=\"2\"> uint16 numpy.ndarray </td>\n",
+       "                        <td colspan=\"2\"> uint8 numpy.ndarray </td>\n",
        "                    </tr>\n",
        "                </tbody>\n",
        "            </table>\n",
@@ -20161,10 +20255,20 @@
        "\n",
        "  <!-- Horizontal lines -->\n",
        "  <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n",
+       "  <line x1=\"0\" y1=\"20\" x2=\"120\" y2=\"20\" />\n",
+       "  <line x1=\"0\" y1=\"40\" x2=\"120\" y2=\"40\" />\n",
+       "  <line x1=\"0\" y1=\"60\" x2=\"120\" y2=\"60\" />\n",
+       "  <line x1=\"0\" y1=\"80\" x2=\"120\" y2=\"80\" />\n",
+       "  <line x1=\"0\" y1=\"100\" x2=\"120\" y2=\"100\" />\n",
        "  <line x1=\"0\" y1=\"120\" x2=\"120\" y2=\"120\" style=\"stroke-width:2\" />\n",
        "\n",
        "  <!-- Vertical lines -->\n",
        "  <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"120\" style=\"stroke-width:2\" />\n",
+       "  <line x1=\"20\" y1=\"0\" x2=\"20\" y2=\"120\" />\n",
+       "  <line x1=\"40\" y1=\"0\" x2=\"40\" y2=\"120\" />\n",
+       "  <line x1=\"60\" y1=\"0\" x2=\"60\" y2=\"120\" />\n",
+       "  <line x1=\"80\" y1=\"0\" x2=\"80\" y2=\"120\" />\n",
+       "  <line x1=\"100\" y1=\"0\" x2=\"100\" y2=\"120\" />\n",
        "  <line x1=\"120\" y1=\"0\" x2=\"120\" y2=\"120\" style=\"stroke-width:2\" />\n",
        "\n",
        "  <!-- Colored Rectangle -->\n",
@@ -20176,7 +20280,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>quality_atmosphere_r60m_wvp</span></div><div class='xr-var-dims'>(quality_atmosphere_r60m_y, quality_atmosphere_r60m_x)</div><div class='xr-var-dtype'>uint16</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1830, 1830), meta=np.ndarray&gt;</div><input id='attrs-d99a9986-06d7-4ae9-ad82-2a8fb1ae8260' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d99a9986-06d7-4ae9-ad82-2a8fb1ae8260' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a8cf94d3-f585-4d16-b7c6-f660f050a41c' class='xr-var-data-in' type='checkbox'><label for='data-a8cf94d3-f585-4d16-b7c6-f660f050a41c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;]}</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 5190240.0, 609780.0, 5300040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32632</dd><dt><span>proj:shape :</span></dt><dd>[1830, 1830]</dd><dt><span>proj:transform :</span></dt><dd>[60.0, 0.0, 499980.0, 0.0, -60.0, 5300040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 32N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,9],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32632&quot;]]</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>quality_mask_r60m_b10</span></div><div class='xr-var-dims'>(quality_mask_r60m_y, quality_mask_r60m_x)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(305, 305), meta=np.ndarray&gt;</div><input id='attrs-bced0c8a-57b3-4ed6-8918-e70f924b9622' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bced0c8a-57b3-4ed6-8918-e70f924b9622' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-791b5513-b730-4cfe-a5bf-ae046b41ff56' class='xr-var-data-in' type='checkbox'><label for='data-791b5513-b730-4cfe-a5bf-ae046b41ff56' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;dtype&#x27;: &#x27;&lt;u1&#x27;, &#x27;flag_masks&#x27;: [1, 2, 4, 8, 16, 32, 64, 128], &#x27;flag_meanings&#x27;: [&#x27;ANC_LOST&#x27;, &#x27;ANC_DEG&#x27;, &#x27;MSI_LOST&#x27;, &#x27;MSI_DEG&#x27;, &#x27;QT_DEFECTIVE_PIXELS&#x27;, &#x27;QT_NODATA_PIXELS&#x27;, &#x27;QT_PARTIALLY_CORRECTED_PIXELS&#x27;, &#x27;QT_SATURATED_PIXELS_L1A&#x27;], &#x27;long_name&#x27;: &#x27;quality mask provided in the final reference frame (ground geometry)&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u1</dd><dt><span>flag_masks :</span></dt><dd>[1, 2, 4, 8, 16, 32, 64, 128]</dd><dt><span>flag_meanings :</span></dt><dd>[&#x27;ANC_LOST&#x27;, &#x27;ANC_DEG&#x27;, &#x27;MSI_LOST&#x27;, &#x27;MSI_DEG&#x27;, &#x27;QT_DEFECTIVE_PIXELS&#x27;, &#x27;QT_NODATA_PIXELS&#x27;, &#x27;QT_PARTIALLY_CORRECTED_PIXELS&#x27;, &#x27;QT_SATURATED_PIXELS_L1A&#x27;]</dd><dt><span>long_name :</span></dt><dd>quality mask provided in the final reference frame (ground geometry)</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 7890240.0, 609780.0, 8000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32625</dd><dt><span>proj:shape :</span></dt><dd>[1830, 1830]</dd><dt><span>proj:transform :</span></dt><dd>[60.0, 0.0, 499980.0, 0.0, -60.0, 8000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 25N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,-33],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32625&quot;]]</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -20191,22 +20295,22 @@
        "                    \n",
        "                    <tr>\n",
        "                        <th> Bytes </th>\n",
-       "                        <td> 6.39 MiB </td>\n",
-       "                        <td> 6.39 MiB </td>\n",
+       "                        <td> 3.19 MiB </td>\n",
+       "                        <td> 90.84 kiB </td>\n",
        "                    </tr>\n",
        "                    \n",
        "                    <tr>\n",
        "                        <th> Shape </th>\n",
        "                        <td> (1830, 1830) </td>\n",
-       "                        <td> (1830, 1830) </td>\n",
+       "                        <td> (305, 305) </td>\n",
        "                    </tr>\n",
        "                    <tr>\n",
        "                        <th> Dask graph </th>\n",
-       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
+       "                        <td colspan=\"2\"> 36 chunks in 2 graph layers </td>\n",
        "                    </tr>\n",
        "                    <tr>\n",
        "                        <th> Data type </th>\n",
-       "                        <td colspan=\"2\"> uint16 numpy.ndarray </td>\n",
+       "                        <td colspan=\"2\"> uint8 numpy.ndarray </td>\n",
        "                    </tr>\n",
        "                </tbody>\n",
        "            </table>\n",
@@ -20216,10 +20320,20 @@
        "\n",
        "  <!-- Horizontal lines -->\n",
        "  <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n",
+       "  <line x1=\"0\" y1=\"20\" x2=\"120\" y2=\"20\" />\n",
+       "  <line x1=\"0\" y1=\"40\" x2=\"120\" y2=\"40\" />\n",
+       "  <line x1=\"0\" y1=\"60\" x2=\"120\" y2=\"60\" />\n",
+       "  <line x1=\"0\" y1=\"80\" x2=\"120\" y2=\"80\" />\n",
+       "  <line x1=\"0\" y1=\"100\" x2=\"120\" y2=\"100\" />\n",
        "  <line x1=\"0\" y1=\"120\" x2=\"120\" y2=\"120\" style=\"stroke-width:2\" />\n",
        "\n",
        "  <!-- Vertical lines -->\n",
        "  <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"120\" style=\"stroke-width:2\" />\n",
+       "  <line x1=\"20\" y1=\"0\" x2=\"20\" y2=\"120\" />\n",
+       "  <line x1=\"40\" y1=\"0\" x2=\"40\" y2=\"120\" />\n",
+       "  <line x1=\"60\" y1=\"0\" x2=\"60\" y2=\"120\" />\n",
+       "  <line x1=\"80\" y1=\"0\" x2=\"80\" y2=\"120\" />\n",
+       "  <line x1=\"100\" y1=\"0\" x2=\"100\" y2=\"120\" />\n",
        "  <line x1=\"120\" y1=\"0\" x2=\"120\" y2=\"120\" style=\"stroke-width:2\" />\n",
        "\n",
        "  <!-- Colored Rectangle -->\n",
@@ -20231,1273 +20345,140 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
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-       "    <tr>\n",
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-       "    <tr>\n",
-       "        <td>\n",
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-       "                        <th> Array </th>\n",
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-       "                        <th> Bytes </th>\n",
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-       "                        <td> 28.74 MiB </td>\n",
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-       "                    <tr>\n",
-       "                        <th> Dask graph </th>\n",
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-       "    <tr>\n",
-       "        <td>\n",
-       "            <table style=\"border-collapse: collapse;\">\n",
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-       "                    <tr>\n",
-       "                        <td> </td>\n",
-       "                        <th> Array </th>\n",
-       "                        <th> Chunk </th>\n",
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-       "                <tbody>\n",
-       "                    \n",
-       "                    <tr>\n",
-       "                        <th> Bytes </th>\n",
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-       "                        <td> 28.74 MiB </td>\n",
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-       "                    \n",
-       "                    <tr>\n",
-       "                        <th> Shape </th>\n",
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-       "                        <td> (5490, 5490) </td>\n",
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-       "                    <tr>\n",
-       "                        <th> Dask graph </th>\n",
-       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
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-       "                    <tr>\n",
-       "                        <th> Data type </th>\n",
-       "                        <td colspan=\"2\"> uint8 numpy.ndarray </td>\n",
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-       "    <tr>\n",
-       "        <td>\n",
-       "            <table style=\"border-collapse: collapse;\">\n",
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-       "                        <th> Array </th>\n",
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-       "                        <td> 28.74 MiB </td>\n",
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-       "                    <tr>\n",
-       "                        <th> Shape </th>\n",
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-       "                    <tr>\n",
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-       "                        <td colspan=\"2\"> uint8 numpy.ndarray </td>\n",
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-       "    <tr>\n",
-       "        <td>\n",
-       "            <table style=\"border-collapse: collapse;\">\n",
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-       "                    <tr>\n",
-       "                        <td> </td>\n",
-       "                        <th> Array </th>\n",
-       "                        <th> Chunk </th>\n",
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-       "                <tbody>\n",
-       "                    \n",
-       "                    <tr>\n",
-       "                        <th> Bytes </th>\n",
-       "                        <td> 3.19 MiB </td>\n",
-       "                        <td> 3.19 MiB </td>\n",
-       "                    </tr>\n",
-       "                    \n",
-       "                    <tr>\n",
-       "                        <th> Shape </th>\n",
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-       "                        <td> (1830, 1830) </td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th> Dask graph </th>\n",
-       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
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-       "                    <tr>\n",
-       "                        <th> Data type </th>\n",
-       "                        <td colspan=\"2\"> uint8 numpy.ndarray </td>\n",
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-       "    <tr>\n",
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-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>quality_mask_r60m_b10</span></div><div class='xr-var-dims'>(quality_mask_r60m_y, quality_mask_r60m_x)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1830, 1830), meta=np.ndarray&gt;</div><input id='attrs-a540f48b-a0db-450f-b96d-308e9a41027b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a540f48b-a0db-450f-b96d-308e9a41027b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a0ad2e58-6da7-4e50-ba21-93861cb87cac' class='xr-var-data-in' type='checkbox'><label for='data-a0ad2e58-6da7-4e50-ba21-93861cb87cac' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;flag_masks&#x27;: [1, 2, 4, 8, 16, 32, 64, 128], &#x27;flag_meanings&#x27;: [&#x27;ANC_LOST&#x27;, &#x27;ANC_DEG&#x27;, &#x27;MSI_LOST&#x27;, &#x27;MSI_DEG&#x27;, &#x27;QT_DEFECTIVE_PIXELS&#x27;, &#x27;QT_NODATA_PIXELS&#x27;, &#x27;QT_PARTIALLY_CORRECTED_PIXELS&#x27;, &#x27;QT_SATURATED_PIXELS_L1A&#x27;]}</dd><dt><span>dtype :</span></dt><dd>&lt;u1</dd><dt><span>flag_masks :</span></dt><dd>[1, 2, 4, 8, 16, 32, 64, 128]</dd><dt><span>flag_meanings :</span></dt><dd>[&#x27;ANC_LOST&#x27;, &#x27;ANC_DEG&#x27;, &#x27;MSI_LOST&#x27;, &#x27;MSI_DEG&#x27;, &#x27;QT_DEFECTIVE_PIXELS&#x27;, &#x27;QT_NODATA_PIXELS&#x27;, &#x27;QT_PARTIALLY_CORRECTED_PIXELS&#x27;, &#x27;QT_SATURATED_PIXELS_L1A&#x27;]</dd><dt><span>long_name :</span></dt><dd>quality mask provided in the final reference frame (ground geometry)</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 5190240.0, 609780.0, 5300040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32632</dd><dt><span>proj:shape :</span></dt><dd>[1830, 1830]</dd><dt><span>proj:transform :</span></dt><dd>[60.0, 0.0, 499980.0, 0.0, -60.0, 5300040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 32N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,9],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32632&quot;]]</dd></dl></div><div class='xr-var-data'><table>\n",
-       "    <tr>\n",
-       "        <td>\n",
-       "            <table style=\"border-collapse: collapse;\">\n",
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-       "                    <tr>\n",
-       "                        <td> </td>\n",
-       "                        <th> Array </th>\n",
-       "                        <th> Chunk </th>\n",
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-       "                </thead>\n",
-       "                <tbody>\n",
-       "                    \n",
-       "                    <tr>\n",
-       "                        <th> Bytes </th>\n",
-       "                        <td> 3.19 MiB </td>\n",
-       "                        <td> 3.19 MiB </td>\n",
-       "                    </tr>\n",
-       "                    \n",
-       "                    <tr>\n",
-       "                        <th> Shape </th>\n",
-       "                        <td> (1830, 1830) </td>\n",
-       "                        <td> (1830, 1830) </td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th> Dask graph </th>\n",
-       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th> Data type </th>\n",
-       "                        <td colspan=\"2\"> uint8 numpy.ndarray </td>\n",
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-       "                </tbody>\n",
-       "            </table>\n",
-       "        </td>\n",
-       "        <td>\n",
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-       "        </td>\n",
-       "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>quality_probability_cld</span></div><div class='xr-var-dims'>(quality_probability_y, quality_probability_x)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(5490, 5490), meta=np.ndarray&gt;</div><input id='attrs-a43c6596-efca-4600-8cc7-21db743a8043' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a43c6596-efca-4600-8cc7-21db743a8043' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c823ea03-52f0-4c88-94d1-c9b41a9b38d1' class='xr-var-data-in' type='checkbox'><label for='data-c823ea03-52f0-4c88-94d1-c9b41a9b38d1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;band&#x27;, &#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;]}</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 5190240.0, 609780.0, 5300040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32632</dd><dt><span>proj:shape :</span></dt><dd>[5490, 5490]</dd><dt><span>proj:transform :</span></dt><dd>[20.0, 0.0, 499980.0, 0.0, -20.0, 5300040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 32N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,9],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32632&quot;]]</dd></dl></div><div class='xr-var-data'><table>\n",
-       "    <tr>\n",
-       "        <td>\n",
-       "            <table style=\"border-collapse: collapse;\">\n",
-       "                <thead>\n",
-       "                    <tr>\n",
-       "                        <td> </td>\n",
-       "                        <th> Array </th>\n",
-       "                        <th> Chunk </th>\n",
-       "                    </tr>\n",
-       "                </thead>\n",
-       "                <tbody>\n",
-       "                    \n",
-       "                    <tr>\n",
-       "                        <th> Bytes </th>\n",
-       "                        <td> 28.74 MiB </td>\n",
-       "                        <td> 28.74 MiB </td>\n",
-       "                    </tr>\n",
-       "                    \n",
-       "                    <tr>\n",
-       "                        <th> Shape </th>\n",
-       "                        <td> (5490, 5490) </td>\n",
-       "                        <td> (5490, 5490) </td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th> Dask graph </th>\n",
-       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th> Data type </th>\n",
-       "                        <td colspan=\"2\"> uint8 numpy.ndarray </td>\n",
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-       "            </table>\n",
-       "        </td>\n",
-       "        <td>\n",
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-       "\n",
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-       "</svg>\n",
-       "        </td>\n",
-       "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>quality_probability_snw</span></div><div class='xr-var-dims'>(quality_probability_y, quality_probability_x)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(5490, 5490), meta=np.ndarray&gt;</div><input id='attrs-8d7ab74f-d5d6-4d40-8854-9edc99a0bbc7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8d7ab74f-d5d6-4d40-8854-9edc99a0bbc7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3e269f7b-2d05-481b-b52d-0192f3587507' class='xr-var-data-in' type='checkbox'><label for='data-3e269f7b-2d05-481b-b52d-0192f3587507' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;band&#x27;, &#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;]}</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 5190240.0, 609780.0, 5300040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32632</dd><dt><span>proj:shape :</span></dt><dd>[5490, 5490]</dd><dt><span>proj:transform :</span></dt><dd>[20.0, 0.0, 499980.0, 0.0, -20.0, 5300040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 32N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,9],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32632&quot;]]</dd></dl></div><div class='xr-var-data'><table>\n",
-       "    <tr>\n",
-       "        <td>\n",
-       "            <table style=\"border-collapse: collapse;\">\n",
-       "                <thead>\n",
-       "                    <tr>\n",
-       "                        <td> </td>\n",
-       "                        <th> Array </th>\n",
-       "                        <th> Chunk </th>\n",
-       "                    </tr>\n",
-       "                </thead>\n",
-       "                <tbody>\n",
-       "                    \n",
-       "                    <tr>\n",
-       "                        <th> Bytes </th>\n",
-       "                        <td> 28.74 MiB </td>\n",
-       "                        <td> 28.74 MiB </td>\n",
-       "                    </tr>\n",
-       "                    \n",
-       "                    <tr>\n",
-       "                        <th> Shape </th>\n",
-       "                        <td> (5490, 5490) </td>\n",
-       "                        <td> (5490, 5490) </td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th> Dask graph </th>\n",
-       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th> Data type </th>\n",
-       "                        <td colspan=\"2\"> uint8 numpy.ndarray </td>\n",
-       "                    </tr>\n",
-       "                </tbody>\n",
-       "            </table>\n",
-       "        </td>\n",
-       "        <td>\n",
-       "        <svg width=\"170\" height=\"170\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
-       "\n",
-       "  <!-- Horizontal lines -->\n",
-       "  <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n",
-       "  <line x1=\"0\" y1=\"120\" x2=\"120\" y2=\"120\" style=\"stroke-width:2\" />\n",
-       "\n",
-       "  <!-- Vertical lines -->\n",
-       "  <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"120\" style=\"stroke-width:2\" />\n",
-       "  <line x1=\"120\" y1=\"0\" x2=\"120\" y2=\"120\" style=\"stroke-width:2\" />\n",
-       "\n",
-       "  <!-- Colored Rectangle -->\n",
-       "  <polygon points=\"0.0,0.0 120.0,0.0 120.0,120.0 0.0,120.0\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
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-       "  <text x=\"140.000000\" y=\"60.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,140.000000,60.000000)\">5490</text>\n",
-       "</svg>\n",
-       "        </td>\n",
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-       "</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-37d8a2f9-7991-4954-97d7-70acf7ca8aeb' class='xr-section-summary-in' type='checkbox'  ><label for='section-37d8a2f9-7991-4954-97d7-70acf7ca8aeb' class='xr-section-summary' >Indexes: <span>(50)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>conditions_geometry_angle</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-f08f5979-7e95-41bb-856c-ccb3431778ad' class='xr-index-data-in' type='checkbox'/><label for='index-f08f5979-7e95-41bb-856c-ccb3431778ad' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([&#x27;zenith&#x27;, &#x27;azimuth&#x27;], dtype=&#x27;object&#x27;, name=&#x27;conditions_geometry_angle&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>conditions_geometry_band</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-4a125a98-5dee-4993-a09d-4a67d5ffbe24' class='xr-index-data-in' type='checkbox'/><label for='index-4a125a98-5dee-4993-a09d-4a67d5ffbe24' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([&#x27;b01&#x27;, &#x27;b02&#x27;, &#x27;b03&#x27;, &#x27;b04&#x27;, &#x27;b05&#x27;, &#x27;b06&#x27;, &#x27;b07&#x27;, &#x27;b08&#x27;, &#x27;b8a&#x27;, &#x27;b09&#x27;,\n",
+       "</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-f9a018ac-9417-4b4b-ab06-439e218f5ac9' class='xr-section-summary-in' type='checkbox'  ><label for='section-f9a018ac-9417-4b4b-ab06-439e218f5ac9' class='xr-section-summary' >Indexes: <span>(32)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>conditions_geometry_angle</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-2e5421be-9183-47d4-8a63-d88a85579fcc' class='xr-index-data-in' type='checkbox'/><label for='index-2e5421be-9183-47d4-8a63-d88a85579fcc' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([&#x27;zenith&#x27;, &#x27;azimuth&#x27;], dtype=&#x27;object&#x27;, name=&#x27;conditions_geometry_angle&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>conditions_geometry_band</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-416efe8e-4f91-4d41-b1ec-270430008fd8' class='xr-index-data-in' type='checkbox'/><label for='index-416efe8e-4f91-4d41-b1ec-270430008fd8' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([&#x27;b01&#x27;, &#x27;b02&#x27;, &#x27;b03&#x27;, &#x27;b04&#x27;, &#x27;b05&#x27;, &#x27;b06&#x27;, &#x27;b07&#x27;, &#x27;b08&#x27;, &#x27;b8a&#x27;, &#x27;b09&#x27;,\n",
        "       &#x27;b10&#x27;, &#x27;b11&#x27;, &#x27;b12&#x27;],\n",
-       "      dtype=&#x27;object&#x27;, name=&#x27;conditions_geometry_band&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>conditions_geometry_detector</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-d76d2631-cbe0-42f8-b250-110be25403db' class='xr-index-data-in' type='checkbox'/><label for='index-d76d2631-cbe0-42f8-b250-110be25403db' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([3, 4, 5, 6, 7, 8, 9], dtype=&#x27;int64&#x27;, name=&#x27;conditions_geometry_detector&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>conditions_geometry_x</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-a6834f2d-0620-4f4b-879b-75821e4f06f5' class='xr-index-data-in' type='checkbox'/><label for='index-a6834f2d-0620-4f4b-879b-75821e4f06f5' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([499980, 504980, 509980, 514980, 519980, 524980, 529980, 534980, 539980,\n",
+       "      dtype=&#x27;object&#x27;, name=&#x27;conditions_geometry_band&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>conditions_geometry_detector</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-1cdefcc9-7daa-43af-aedc-56d4d8efc22e' class='xr-index-data-in' type='checkbox'/><label for='index-1cdefcc9-7daa-43af-aedc-56d4d8efc22e' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([6, 7, 8, 9, 10, 11, 12], dtype=&#x27;int64&#x27;, name=&#x27;conditions_geometry_detector&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>conditions_geometry_x</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-98a1e0a7-181d-4cd5-b627-3a4df71349d1' class='xr-index-data-in' type='checkbox'/><label for='index-98a1e0a7-181d-4cd5-b627-3a4df71349d1' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([499980, 504980, 509980, 514980, 519980, 524980, 529980, 534980, 539980,\n",
        "       544980, 549980, 554980, 559980, 564980, 569980, 574980, 579980, 584980,\n",
        "       589980, 594980, 599980, 604980, 609980],\n",
-       "      dtype=&#x27;int64&#x27;, name=&#x27;conditions_geometry_x&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>conditions_geometry_y</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-21a5a084-3363-48e0-9625-f6b14f905716' class='xr-index-data-in' type='checkbox'/><label for='index-21a5a084-3363-48e0-9625-f6b14f905716' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([5300040, 5295040, 5290040, 5285040, 5280040, 5275040, 5270040, 5265040,\n",
-       "       5260040, 5255040, 5250040, 5245040, 5240040, 5235040, 5230040, 5225040,\n",
-       "       5220040, 5215040, 5210040, 5205040, 5200040, 5195040, 5190040],\n",
-       "      dtype=&#x27;int64&#x27;, name=&#x27;conditions_geometry_y&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>conditions_mask_detector_footprint_r10m_x</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-ce65d651-3954-46ad-abef-0733a00570bf' class='xr-index-data-in' type='checkbox'/><label for='index-ce65d651-3954-46ad-abef-0733a00570bf' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([499985, 499995, 500005, 500015, 500025, 500035, 500045, 500055, 500065,\n",
+       "      dtype=&#x27;int64&#x27;, name=&#x27;conditions_geometry_x&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>conditions_geometry_y</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-b33a8046-36a0-44ec-be8a-6f7b8b0a5f28' class='xr-index-data-in' type='checkbox'/><label for='index-b33a8046-36a0-44ec-be8a-6f7b8b0a5f28' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([8000040, 7995040, 7990040, 7985040, 7980040, 7975040, 7970040, 7965040,\n",
+       "       7960040, 7955040, 7950040, 7945040, 7940040, 7935040, 7930040, 7925040,\n",
+       "       7920040, 7915040, 7910040, 7905040, 7900040, 7895040, 7890040],\n",
+       "      dtype=&#x27;int64&#x27;, name=&#x27;conditions_geometry_y&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>conditions_mask_detector_footprint_r10m_x</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-f543b4c7-35f0-4178-8e28-2ac6902825b4' class='xr-index-data-in' type='checkbox'/><label for='index-f543b4c7-35f0-4178-8e28-2ac6902825b4' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([499985, 499995, 500005, 500015, 500025, 500035, 500045, 500055, 500065,\n",
        "       500075,\n",
        "       ...\n",
        "       609685, 609695, 609705, 609715, 609725, 609735, 609745, 609755, 609765,\n",
        "       609775],\n",
-       "      dtype=&#x27;int64&#x27;, name=&#x27;conditions_mask_detector_footprint_r10m_x&#x27;, length=10980))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>conditions_mask_detector_footprint_r10m_y</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-cb447158-6c32-4410-9591-e59b53ee7f55' class='xr-index-data-in' type='checkbox'/><label for='index-cb447158-6c32-4410-9591-e59b53ee7f55' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([5300035, 5300025, 5300015, 5300005, 5299995, 5299985, 5299975, 5299965,\n",
-       "       5299955, 5299945,\n",
-       "       ...\n",
-       "       5190335, 5190325, 5190315, 5190305, 5190295, 5190285, 5190275, 5190265,\n",
-       "       5190255, 5190245],\n",
-       "      dtype=&#x27;int64&#x27;, name=&#x27;conditions_mask_detector_footprint_r10m_y&#x27;, length=10980))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>conditions_mask_detector_footprint_r20m_x</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-cc652db0-d26e-423d-951c-8ed3c365b787' class='xr-index-data-in' type='checkbox'/><label for='index-cc652db0-d26e-423d-951c-8ed3c365b787' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([499990, 500010, 500030, 500050, 500070, 500090, 500110, 500130, 500150,\n",
-       "       500170,\n",
-       "       ...\n",
-       "       609590, 609610, 609630, 609650, 609670, 609690, 609710, 609730, 609750,\n",
-       "       609770],\n",
-       "      dtype=&#x27;int64&#x27;, name=&#x27;conditions_mask_detector_footprint_r20m_x&#x27;, length=5490))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>conditions_mask_detector_footprint_r20m_y</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-870c3d91-1001-4ca3-b680-6bf4c3edeef2' class='xr-index-data-in' type='checkbox'/><label for='index-870c3d91-1001-4ca3-b680-6bf4c3edeef2' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([5300030, 5300010, 5299990, 5299970, 5299950, 5299930, 5299910, 5299890,\n",
-       "       5299870, 5299850,\n",
-       "       ...\n",
-       "       5190430, 5190410, 5190390, 5190370, 5190350, 5190330, 5190310, 5190290,\n",
-       "       5190270, 5190250],\n",
-       "      dtype=&#x27;int64&#x27;, name=&#x27;conditions_mask_detector_footprint_r20m_y&#x27;, length=5490))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>conditions_mask_detector_footprint_r60m_x</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-a25a5037-864a-4ff4-9501-35b36096fdaf' class='xr-index-data-in' type='checkbox'/><label for='index-a25a5037-864a-4ff4-9501-35b36096fdaf' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([500010, 500070, 500130, 500190, 500250, 500310, 500370, 500430, 500490,\n",
-       "       500550,\n",
-       "       ...\n",
-       "       609210, 609270, 609330, 609390, 609450, 609510, 609570, 609630, 609690,\n",
-       "       609750],\n",
-       "      dtype=&#x27;int64&#x27;, name=&#x27;conditions_mask_detector_footprint_r60m_x&#x27;, length=1830))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>conditions_mask_detector_footprint_r60m_y</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-06af7a35-d8ae-4680-bbf1-45699c01dc6d' class='xr-index-data-in' type='checkbox'/><label for='index-06af7a35-d8ae-4680-bbf1-45699c01dc6d' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([5300010, 5299950, 5299890, 5299830, 5299770, 5299710, 5299650, 5299590,\n",
-       "       5299530, 5299470,\n",
-       "       ...\n",
-       "       5190810, 5190750, 5190690, 5190630, 5190570, 5190510, 5190450, 5190390,\n",
-       "       5190330, 5190270],\n",
-       "      dtype=&#x27;int64&#x27;, name=&#x27;conditions_mask_detector_footprint_r60m_y&#x27;, length=1830))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>conditions_mask_l1c_classification_x</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-524d49b7-56b4-48ac-ae53-86489f69cb40' class='xr-index-data-in' type='checkbox'/><label for='index-524d49b7-56b4-48ac-ae53-86489f69cb40' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([500010, 500070, 500130, 500190, 500250, 500310, 500370, 500430, 500490,\n",
-       "       500550,\n",
-       "       ...\n",
-       "       609210, 609270, 609330, 609390, 609450, 609510, 609570, 609630, 609690,\n",
-       "       609750],\n",
-       "      dtype=&#x27;int64&#x27;, name=&#x27;conditions_mask_l1c_classification_x&#x27;, length=1830))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>conditions_mask_l1c_classification_y</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-737da7f3-013c-4d94-abba-1a30971d4bff' class='xr-index-data-in' type='checkbox'/><label for='index-737da7f3-013c-4d94-abba-1a30971d4bff' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([5300010, 5299950, 5299890, 5299830, 5299770, 5299710, 5299650, 5299590,\n",
-       "       5299530, 5299470,\n",
+       "      dtype=&#x27;int64&#x27;, name=&#x27;conditions_mask_detector_footprint_r10m_x&#x27;, length=10980))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>conditions_mask_detector_footprint_r10m_y</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-7d6bf76d-142e-4346-9b16-1a84a936f584' class='xr-index-data-in' type='checkbox'/><label for='index-7d6bf76d-142e-4346-9b16-1a84a936f584' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([8000035, 8000025, 8000015, 8000005, 7999995, 7999985, 7999975, 7999965,\n",
+       "       7999955, 7999945,\n",
        "       ...\n",
-       "       5190810, 5190750, 5190690, 5190630, 5190570, 5190510, 5190450, 5190390,\n",
-       "       5190330, 5190270],\n",
-       "      dtype=&#x27;int64&#x27;, name=&#x27;conditions_mask_l1c_classification_y&#x27;, length=1830))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>conditions_mask_l2a_classification_r20m_x</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-2c806a63-4434-4669-8b8d-18d73bf925b7' class='xr-index-data-in' type='checkbox'/><label for='index-2c806a63-4434-4669-8b8d-18d73bf925b7' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([499990, 500010, 500030, 500050, 500070, 500090, 500110, 500130, 500150,\n",
+       "       7890335, 7890325, 7890315, 7890305, 7890295, 7890285, 7890275, 7890265,\n",
+       "       7890255, 7890245],\n",
+       "      dtype=&#x27;int64&#x27;, name=&#x27;conditions_mask_detector_footprint_r10m_y&#x27;, length=10980))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>conditions_mask_detector_footprint_r20m_x</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-f029884d-7123-4455-a60d-7f72a27fbe35' class='xr-index-data-in' type='checkbox'/><label for='index-f029884d-7123-4455-a60d-7f72a27fbe35' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([499990, 500010, 500030, 500050, 500070, 500090, 500110, 500130, 500150,\n",
        "       500170,\n",
        "       ...\n",
        "       609590, 609610, 609630, 609650, 609670, 609690, 609710, 609730, 609750,\n",
        "       609770],\n",
-       "      dtype=&#x27;int64&#x27;, name=&#x27;conditions_mask_l2a_classification_r20m_x&#x27;, length=5490))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>conditions_mask_l2a_classification_r20m_y</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-df23456a-ed56-4ecb-b732-1df172dbf9f6' class='xr-index-data-in' type='checkbox'/><label for='index-df23456a-ed56-4ecb-b732-1df172dbf9f6' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([5300030, 5300010, 5299990, 5299970, 5299950, 5299930, 5299910, 5299890,\n",
-       "       5299870, 5299850,\n",
+       "      dtype=&#x27;int64&#x27;, name=&#x27;conditions_mask_detector_footprint_r20m_x&#x27;, length=5490))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>conditions_mask_detector_footprint_r20m_y</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-cb130a09-e1b8-4111-9494-efee90fff982' class='xr-index-data-in' type='checkbox'/><label for='index-cb130a09-e1b8-4111-9494-efee90fff982' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([8000030, 8000010, 7999990, 7999970, 7999950, 7999930, 7999910, 7999890,\n",
+       "       7999870, 7999850,\n",
        "       ...\n",
-       "       5190430, 5190410, 5190390, 5190370, 5190350, 5190330, 5190310, 5190290,\n",
-       "       5190270, 5190250],\n",
-       "      dtype=&#x27;int64&#x27;, name=&#x27;conditions_mask_l2a_classification_r20m_y&#x27;, length=5490))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>conditions_mask_l2a_classification_r60m_x</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-1a7c60d8-cc96-4e38-a29a-83cf180e40ca' class='xr-index-data-in' type='checkbox'/><label for='index-1a7c60d8-cc96-4e38-a29a-83cf180e40ca' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([500010, 500070, 500130, 500190, 500250, 500310, 500370, 500430, 500490,\n",
+       "       7890430, 7890410, 7890390, 7890370, 7890350, 7890330, 7890310, 7890290,\n",
+       "       7890270, 7890250],\n",
+       "      dtype=&#x27;int64&#x27;, name=&#x27;conditions_mask_detector_footprint_r20m_y&#x27;, length=5490))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>conditions_mask_detector_footprint_r60m_x</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-0b18c084-e27e-43ac-a969-966215556dfc' class='xr-index-data-in' type='checkbox'/><label for='index-0b18c084-e27e-43ac-a969-966215556dfc' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([500010, 500070, 500130, 500190, 500250, 500310, 500370, 500430, 500490,\n",
        "       500550,\n",
        "       ...\n",
        "       609210, 609270, 609330, 609390, 609450, 609510, 609570, 609630, 609690,\n",
        "       609750],\n",
-       "      dtype=&#x27;int64&#x27;, name=&#x27;conditions_mask_l2a_classification_r60m_x&#x27;, length=1830))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>conditions_mask_l2a_classification_r60m_y</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-74f08109-e203-4f67-95f8-2b7cb7565be4' class='xr-index-data-in' type='checkbox'/><label for='index-74f08109-e203-4f67-95f8-2b7cb7565be4' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([5300010, 5299950, 5299890, 5299830, 5299770, 5299710, 5299650, 5299590,\n",
-       "       5299530, 5299470,\n",
-       "       ...\n",
-       "       5190810, 5190750, 5190690, 5190630, 5190570, 5190510, 5190450, 5190390,\n",
-       "       5190330, 5190270],\n",
-       "      dtype=&#x27;int64&#x27;, name=&#x27;conditions_mask_l2a_classification_r60m_y&#x27;, length=1830))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>conditions_meteorology_cams_latitude</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-692e4650-5adf-4876-916c-4234d7e777fd' class='xr-index-data-in' type='checkbox'/><label for='index-692e4650-5adf-4876-916c-4234d7e777fd' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([47.854, 47.729, 47.604, 47.479, 47.354, 47.229, 47.104, 46.979, 46.857], dtype=&#x27;float64&#x27;, name=&#x27;conditions_meteorology_cams_latitude&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>conditions_meteorology_cams_longitude</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-5b1f92c1-e114-459d-be6b-c1f0b1344600' class='xr-index-data-in' type='checkbox'/><label for='index-5b1f92c1-e114-459d-be6b-c1f0b1344600' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([               9.0,               9.18,               9.36,\n",
-       "                     9.54,  9.719999999999999,  9.899999999999999,\n",
-       "       10.079999999999998, 10.259999999999998,              10.44],\n",
-       "      dtype=&#x27;float64&#x27;, name=&#x27;conditions_meteorology_cams_longitude&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>conditions_meteorology_ecmwf_latitude</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-2515083a-4e8c-4954-a53b-1850cb3b18d1' class='xr-index-data-in' type='checkbox'/><label for='index-2515083a-4e8c-4954-a53b-1850cb3b18d1' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([47.854, 47.729, 47.604, 47.479, 47.354, 47.229, 47.104, 46.979, 46.857], dtype=&#x27;float64&#x27;, name=&#x27;conditions_meteorology_ecmwf_latitude&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>conditions_meteorology_ecmwf_longitude</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-f812d2e6-f52d-437b-a9fe-a9a35f3c6107' class='xr-index-data-in' type='checkbox'/><label for='index-f812d2e6-f52d-437b-a9fe-a9a35f3c6107' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([               9.0,               9.18,               9.36,\n",
-       "                     9.54,  9.719999999999999,  9.899999999999999,\n",
-       "       10.079999999999998, 10.259999999999998,              10.44],\n",
-       "      dtype=&#x27;float64&#x27;, name=&#x27;conditions_meteorology_ecmwf_longitude&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>measurements_r10m_x</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-87b729b4-09d7-4f5a-bc29-48242709db56' class='xr-index-data-in' type='checkbox'/><label for='index-87b729b4-09d7-4f5a-bc29-48242709db56' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([499985, 499995, 500005, 500015, 500025, 500035, 500045, 500055, 500065,\n",
-       "       500075,\n",
+       "      dtype=&#x27;int64&#x27;, name=&#x27;conditions_mask_detector_footprint_r60m_x&#x27;, length=1830))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>conditions_mask_detector_footprint_r60m_y</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-dc376be2-5400-44f6-8b19-43975afdaacd' class='xr-index-data-in' type='checkbox'/><label for='index-dc376be2-5400-44f6-8b19-43975afdaacd' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([8000010, 7999950, 7999890, 7999830, 7999770, 7999710, 7999650, 7999590,\n",
+       "       7999530, 7999470,\n",
        "       ...\n",
-       "       609685, 609695, 609705, 609715, 609725, 609735, 609745, 609755, 609765,\n",
-       "       609775],\n",
-       "      dtype=&#x27;int64&#x27;, name=&#x27;measurements_r10m_x&#x27;, length=10980))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>measurements_r10m_y</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-c8881232-0467-4c43-8678-dbebd7518c2c' class='xr-index-data-in' type='checkbox'/><label for='index-c8881232-0467-4c43-8678-dbebd7518c2c' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([5300035, 5300025, 5300015, 5300005, 5299995, 5299985, 5299975, 5299965,\n",
-       "       5299955, 5299945,\n",
-       "       ...\n",
-       "       5190335, 5190325, 5190315, 5190305, 5190295, 5190285, 5190275, 5190265,\n",
-       "       5190255, 5190245],\n",
-       "      dtype=&#x27;int64&#x27;, name=&#x27;measurements_r10m_y&#x27;, length=10980))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>measurements_r20m_x</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-244dd46d-b2dc-439c-82ea-d0f7f3de4949' class='xr-index-data-in' type='checkbox'/><label for='index-244dd46d-b2dc-439c-82ea-d0f7f3de4949' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([499990, 500010, 500030, 500050, 500070, 500090, 500110, 500130, 500150,\n",
-       "       500170,\n",
-       "       ...\n",
-       "       609590, 609610, 609630, 609650, 609670, 609690, 609710, 609730, 609750,\n",
-       "       609770],\n",
-       "      dtype=&#x27;int64&#x27;, name=&#x27;measurements_r20m_x&#x27;, length=5490))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>measurements_r20m_y</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-a746ec61-300e-44cf-a241-5c6d03eb4137' class='xr-index-data-in' type='checkbox'/><label for='index-a746ec61-300e-44cf-a241-5c6d03eb4137' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([5300030, 5300010, 5299990, 5299970, 5299950, 5299930, 5299910, 5299890,\n",
-       "       5299870, 5299850,\n",
-       "       ...\n",
-       "       5190430, 5190410, 5190390, 5190370, 5190350, 5190330, 5190310, 5190290,\n",
-       "       5190270, 5190250],\n",
-       "      dtype=&#x27;int64&#x27;, name=&#x27;measurements_r20m_y&#x27;, length=5490))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>measurements_r60m_x</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-d223c563-6dd3-4413-85d7-0cd09ddd5942' class='xr-index-data-in' type='checkbox'/><label for='index-d223c563-6dd3-4413-85d7-0cd09ddd5942' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([500010, 500070, 500130, 500190, 500250, 500310, 500370, 500430, 500490,\n",
+       "       7890810, 7890750, 7890690, 7890630, 7890570, 7890510, 7890450, 7890390,\n",
+       "       7890330, 7890270],\n",
+       "      dtype=&#x27;int64&#x27;, name=&#x27;conditions_mask_detector_footprint_r60m_y&#x27;, length=1830))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>conditions_mask_l1c_classification_x</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-f01c4717-bc32-4006-aca4-dacac79a6c99' class='xr-index-data-in' type='checkbox'/><label for='index-f01c4717-bc32-4006-aca4-dacac79a6c99' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([500010, 500070, 500130, 500190, 500250, 500310, 500370, 500430, 500490,\n",
        "       500550,\n",
        "       ...\n",
        "       609210, 609270, 609330, 609390, 609450, 609510, 609570, 609630, 609690,\n",
        "       609750],\n",
-       "      dtype=&#x27;int64&#x27;, name=&#x27;measurements_r60m_x&#x27;, length=1830))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>measurements_r60m_y</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-9055b998-3d01-4f68-9394-27b0ff7dfa19' class='xr-index-data-in' type='checkbox'/><label for='index-9055b998-3d01-4f68-9394-27b0ff7dfa19' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([5300010, 5299950, 5299890, 5299830, 5299770, 5299710, 5299650, 5299590,\n",
-       "       5299530, 5299470,\n",
+       "      dtype=&#x27;int64&#x27;, name=&#x27;conditions_mask_l1c_classification_x&#x27;, length=1830))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>conditions_mask_l1c_classification_y</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-7dc1f9e5-53f8-4270-a17a-5b361fd4e5a8' class='xr-index-data-in' type='checkbox'/><label for='index-7dc1f9e5-53f8-4270-a17a-5b361fd4e5a8' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([8000010, 7999950, 7999890, 7999830, 7999770, 7999710, 7999650, 7999590,\n",
+       "       7999530, 7999470,\n",
        "       ...\n",
-       "       5190810, 5190750, 5190690, 5190630, 5190570, 5190510, 5190450, 5190390,\n",
-       "       5190330, 5190270],\n",
-       "      dtype=&#x27;int64&#x27;, name=&#x27;measurements_r60m_y&#x27;, length=1830))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>quality_atmosphere_r10m_x</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-553db612-ff22-4797-9ed1-c90fd1c71578' class='xr-index-data-in' type='checkbox'/><label for='index-553db612-ff22-4797-9ed1-c90fd1c71578' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([499985, 499995, 500005, 500015, 500025, 500035, 500045, 500055, 500065,\n",
+       "       7890810, 7890750, 7890690, 7890630, 7890570, 7890510, 7890450, 7890390,\n",
+       "       7890330, 7890270],\n",
+       "      dtype=&#x27;int64&#x27;, name=&#x27;conditions_mask_l1c_classification_y&#x27;, length=1830))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>conditions_meteorology_cams_latitude</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-c37c3434-4c54-4de1-bf9c-a689cb4e060d' class='xr-index-data-in' type='checkbox'/><label for='index-c37c3434-4c54-4de1-bf9c-a689cb4e060d' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([             72.1, 71.97399999999999, 71.84799999999998,\n",
+       "       71.72199999999998, 71.59599999999998, 71.46999999999997,\n",
+       "       71.34399999999997, 71.21799999999996,             71.09],\n",
+       "      dtype=&#x27;float64&#x27;, name=&#x27;conditions_meteorology_cams_latitude&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>conditions_meteorology_cams_longitude</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-23b4f4f5-2af5-4d0e-90e7-0e9d70fb576d' class='xr-index-data-in' type='checkbox'/><label for='index-23b4f4f5-2af5-4d0e-90e7-0e9d70fb576d' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([            -33.001,          -32.621375,           -32.24175,\n",
+       "       -31.862125000000002,            -31.4825,          -31.102875,\n",
+       "                 -30.72325,          -30.343625,             -29.964],\n",
+       "      dtype=&#x27;float64&#x27;, name=&#x27;conditions_meteorology_cams_longitude&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>conditions_meteorology_ecmwf_latitude</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-368168c3-b98a-4d42-b98f-429c90aba482' class='xr-index-data-in' type='checkbox'/><label for='index-368168c3-b98a-4d42-b98f-429c90aba482' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([             72.1, 71.97399999999999, 71.84799999999998,\n",
+       "       71.72199999999998, 71.59599999999998, 71.46999999999997,\n",
+       "       71.34399999999997, 71.21799999999996,             71.09],\n",
+       "      dtype=&#x27;float64&#x27;, name=&#x27;conditions_meteorology_ecmwf_latitude&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>conditions_meteorology_ecmwf_longitude</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-49738f60-e546-4744-9181-860dfc47a77f' class='xr-index-data-in' type='checkbox'/><label for='index-49738f60-e546-4744-9181-860dfc47a77f' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([            -33.001,          -32.621375,           -32.24175,\n",
+       "       -31.862125000000002,            -31.4825,          -31.102875,\n",
+       "                 -30.72325,          -30.343625,             -29.964],\n",
+       "      dtype=&#x27;float64&#x27;, name=&#x27;conditions_meteorology_ecmwf_longitude&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>measurements_r10m_x</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-5749ce27-45d8-477c-b027-1afce80b766a' class='xr-index-data-in' type='checkbox'/><label for='index-5749ce27-45d8-477c-b027-1afce80b766a' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([499985, 499995, 500005, 500015, 500025, 500035, 500045, 500055, 500065,\n",
        "       500075,\n",
        "       ...\n",
        "       609685, 609695, 609705, 609715, 609725, 609735, 609745, 609755, 609765,\n",
        "       609775],\n",
-       "      dtype=&#x27;int64&#x27;, name=&#x27;quality_atmosphere_r10m_x&#x27;, length=10980))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>quality_atmosphere_r10m_y</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-d4c5e81f-5a66-475a-a12c-37ed34ef93ee' class='xr-index-data-in' type='checkbox'/><label for='index-d4c5e81f-5a66-475a-a12c-37ed34ef93ee' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([5300035, 5300025, 5300015, 5300005, 5299995, 5299985, 5299975, 5299965,\n",
-       "       5299955, 5299945,\n",
+       "      dtype=&#x27;int64&#x27;, name=&#x27;measurements_r10m_x&#x27;, length=10980))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>measurements_r10m_y</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-10992cfd-fae0-4082-827a-9d5f40c41fa2' class='xr-index-data-in' type='checkbox'/><label for='index-10992cfd-fae0-4082-827a-9d5f40c41fa2' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([8000035, 8000025, 8000015, 8000005, 7999995, 7999985, 7999975, 7999965,\n",
+       "       7999955, 7999945,\n",
        "       ...\n",
-       "       5190335, 5190325, 5190315, 5190305, 5190295, 5190285, 5190275, 5190265,\n",
-       "       5190255, 5190245],\n",
-       "      dtype=&#x27;int64&#x27;, name=&#x27;quality_atmosphere_r10m_y&#x27;, length=10980))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>quality_atmosphere_r20m_x</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-18ebc1f4-3549-48c4-ba24-e03d63360149' class='xr-index-data-in' type='checkbox'/><label for='index-18ebc1f4-3549-48c4-ba24-e03d63360149' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([499990, 500010, 500030, 500050, 500070, 500090, 500110, 500130, 500150,\n",
+       "       7890335, 7890325, 7890315, 7890305, 7890295, 7890285, 7890275, 7890265,\n",
+       "       7890255, 7890245],\n",
+       "      dtype=&#x27;int64&#x27;, name=&#x27;measurements_r10m_y&#x27;, length=10980))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>measurements_r20m_x</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-c0446e65-6c0a-4360-b878-8281e14c7a28' class='xr-index-data-in' type='checkbox'/><label for='index-c0446e65-6c0a-4360-b878-8281e14c7a28' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([499990, 500010, 500030, 500050, 500070, 500090, 500110, 500130, 500150,\n",
        "       500170,\n",
        "       ...\n",
        "       609590, 609610, 609630, 609650, 609670, 609690, 609710, 609730, 609750,\n",
        "       609770],\n",
-       "      dtype=&#x27;int64&#x27;, name=&#x27;quality_atmosphere_r20m_x&#x27;, length=5490))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>quality_atmosphere_r20m_y</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-42e1ac95-d3b5-4c9b-9e86-cbb2238c9b23' class='xr-index-data-in' type='checkbox'/><label for='index-42e1ac95-d3b5-4c9b-9e86-cbb2238c9b23' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([5300030, 5300010, 5299990, 5299970, 5299950, 5299930, 5299910, 5299890,\n",
-       "       5299870, 5299850,\n",
+       "      dtype=&#x27;int64&#x27;, name=&#x27;measurements_r20m_x&#x27;, length=5490))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>measurements_r20m_y</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-897504e7-9b9b-44f0-9deb-a9ad5e3f00fc' class='xr-index-data-in' type='checkbox'/><label for='index-897504e7-9b9b-44f0-9deb-a9ad5e3f00fc' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([8000030, 8000010, 7999990, 7999970, 7999950, 7999930, 7999910, 7999890,\n",
+       "       7999870, 7999850,\n",
        "       ...\n",
-       "       5190430, 5190410, 5190390, 5190370, 5190350, 5190330, 5190310, 5190290,\n",
-       "       5190270, 5190250],\n",
-       "      dtype=&#x27;int64&#x27;, name=&#x27;quality_atmosphere_r20m_y&#x27;, length=5490))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>quality_atmosphere_r60m_x</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-2cdb6187-3b8a-49a9-82d0-650396a703d0' class='xr-index-data-in' type='checkbox'/><label for='index-2cdb6187-3b8a-49a9-82d0-650396a703d0' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([500010, 500070, 500130, 500190, 500250, 500310, 500370, 500430, 500490,\n",
+       "       7890430, 7890410, 7890390, 7890370, 7890350, 7890330, 7890310, 7890290,\n",
+       "       7890270, 7890250],\n",
+       "      dtype=&#x27;int64&#x27;, name=&#x27;measurements_r20m_y&#x27;, length=5490))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>measurements_r60m_x</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-6a0a650b-3826-4029-9b7e-7eb7aaadc712' class='xr-index-data-in' type='checkbox'/><label for='index-6a0a650b-3826-4029-9b7e-7eb7aaadc712' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([500010, 500070, 500130, 500190, 500250, 500310, 500370, 500430, 500490,\n",
        "       500550,\n",
        "       ...\n",
        "       609210, 609270, 609330, 609390, 609450, 609510, 609570, 609630, 609690,\n",
        "       609750],\n",
-       "      dtype=&#x27;int64&#x27;, name=&#x27;quality_atmosphere_r60m_x&#x27;, length=1830))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>quality_atmosphere_r60m_y</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-83b3e2c0-8df3-4152-a044-57f653e4f9c6' class='xr-index-data-in' type='checkbox'/><label for='index-83b3e2c0-8df3-4152-a044-57f653e4f9c6' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([5300010, 5299950, 5299890, 5299830, 5299770, 5299710, 5299650, 5299590,\n",
-       "       5299530, 5299470,\n",
+       "      dtype=&#x27;int64&#x27;, name=&#x27;measurements_r60m_x&#x27;, length=1830))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>measurements_r60m_y</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-0fb0d2e8-b8be-4ad9-8b58-a3aa10bf6b5f' class='xr-index-data-in' type='checkbox'/><label for='index-0fb0d2e8-b8be-4ad9-8b58-a3aa10bf6b5f' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([8000010, 7999950, 7999890, 7999830, 7999770, 7999710, 7999650, 7999590,\n",
+       "       7999530, 7999470,\n",
        "       ...\n",
-       "       5190810, 5190750, 5190690, 5190630, 5190570, 5190510, 5190450, 5190390,\n",
-       "       5190330, 5190270],\n",
-       "      dtype=&#x27;int64&#x27;, name=&#x27;quality_atmosphere_r60m_y&#x27;, length=1830))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>quality_l2a_quicklook_r10m_band</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-83868e44-d7cc-4389-af1b-58aae2035455' class='xr-index-data-in' type='checkbox'/><label for='index-83868e44-d7cc-4389-af1b-58aae2035455' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([1, 2, 3], dtype=&#x27;int64&#x27;, name=&#x27;quality_l2a_quicklook_r10m_band&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>quality_l2a_quicklook_r10m_x</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-670dac0f-7a27-4a0a-b06b-86db8117e415' class='xr-index-data-in' type='checkbox'/><label for='index-670dac0f-7a27-4a0a-b06b-86db8117e415' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([499985, 499995, 500005, 500015, 500025, 500035, 500045, 500055, 500065,\n",
+       "       7890810, 7890750, 7890690, 7890630, 7890570, 7890510, 7890450, 7890390,\n",
+       "       7890330, 7890270],\n",
+       "      dtype=&#x27;int64&#x27;, name=&#x27;measurements_r60m_y&#x27;, length=1830))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>quality_l1c_quicklook_band</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-4b6c935c-d2ff-4fd4-a169-c3ccb0ebee0d' class='xr-index-data-in' type='checkbox'/><label for='index-4b6c935c-d2ff-4fd4-a169-c3ccb0ebee0d' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([1, 2, 3], dtype=&#x27;int64&#x27;, name=&#x27;quality_l1c_quicklook_band&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>quality_l1c_quicklook_x</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-82c50b0a-0d5b-4c05-8e38-8ea57a2b5660' class='xr-index-data-in' type='checkbox'/><label for='index-82c50b0a-0d5b-4c05-8e38-8ea57a2b5660' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([499985, 499995, 500005, 500015, 500025, 500035, 500045, 500055, 500065,\n",
        "       500075,\n",
        "       ...\n",
        "       609685, 609695, 609705, 609715, 609725, 609735, 609745, 609755, 609765,\n",
        "       609775],\n",
-       "      dtype=&#x27;int64&#x27;, name=&#x27;quality_l2a_quicklook_r10m_x&#x27;, length=10980))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>quality_l2a_quicklook_r10m_y</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-6de76830-9718-4f7f-aeb0-ff81bc86e8fa' class='xr-index-data-in' type='checkbox'/><label for='index-6de76830-9718-4f7f-aeb0-ff81bc86e8fa' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([5300035, 5300025, 5300015, 5300005, 5299995, 5299985, 5299975, 5299965,\n",
-       "       5299955, 5299945,\n",
-       "       ...\n",
-       "       5190335, 5190325, 5190315, 5190305, 5190295, 5190285, 5190275, 5190265,\n",
-       "       5190255, 5190245],\n",
-       "      dtype=&#x27;int64&#x27;, name=&#x27;quality_l2a_quicklook_r10m_y&#x27;, length=10980))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>quality_l2a_quicklook_r20m_band</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-d49978fa-ac3a-4b5d-afc0-206b2f90c7d3' class='xr-index-data-in' type='checkbox'/><label for='index-d49978fa-ac3a-4b5d-afc0-206b2f90c7d3' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([1, 2, 3], dtype=&#x27;int64&#x27;, name=&#x27;quality_l2a_quicklook_r20m_band&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>quality_l2a_quicklook_r20m_x</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-3a07c411-9ab8-45a3-9c4e-1c839978c36b' class='xr-index-data-in' type='checkbox'/><label for='index-3a07c411-9ab8-45a3-9c4e-1c839978c36b' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([499990, 500010, 500030, 500050, 500070, 500090, 500110, 500130, 500150,\n",
-       "       500170,\n",
-       "       ...\n",
-       "       609590, 609610, 609630, 609650, 609670, 609690, 609710, 609730, 609750,\n",
-       "       609770],\n",
-       "      dtype=&#x27;int64&#x27;, name=&#x27;quality_l2a_quicklook_r20m_x&#x27;, length=5490))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>quality_l2a_quicklook_r20m_y</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-beedf730-3a78-4307-be55-75ebca2ef835' class='xr-index-data-in' type='checkbox'/><label for='index-beedf730-3a78-4307-be55-75ebca2ef835' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([5300030, 5300010, 5299990, 5299970, 5299950, 5299930, 5299910, 5299890,\n",
-       "       5299870, 5299850,\n",
-       "       ...\n",
-       "       5190430, 5190410, 5190390, 5190370, 5190350, 5190330, 5190310, 5190290,\n",
-       "       5190270, 5190250],\n",
-       "      dtype=&#x27;int64&#x27;, name=&#x27;quality_l2a_quicklook_r20m_y&#x27;, length=5490))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>quality_l2a_quicklook_r60m_band</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-9658d277-5819-4b57-a1ae-3a666f5963d4' class='xr-index-data-in' type='checkbox'/><label for='index-9658d277-5819-4b57-a1ae-3a666f5963d4' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([1, 2, 3], dtype=&#x27;int64&#x27;, name=&#x27;quality_l2a_quicklook_r60m_band&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>quality_l2a_quicklook_r60m_x</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-311b0cf7-5276-4741-9482-32b1683b49b7' class='xr-index-data-in' type='checkbox'/><label for='index-311b0cf7-5276-4741-9482-32b1683b49b7' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([500010, 500070, 500130, 500190, 500250, 500310, 500370, 500430, 500490,\n",
-       "       500550,\n",
-       "       ...\n",
-       "       609210, 609270, 609330, 609390, 609450, 609510, 609570, 609630, 609690,\n",
-       "       609750],\n",
-       "      dtype=&#x27;int64&#x27;, name=&#x27;quality_l2a_quicklook_r60m_x&#x27;, length=1830))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>quality_l2a_quicklook_r60m_y</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-0c62576e-4e6b-4011-afb1-377e3b62a85e' class='xr-index-data-in' type='checkbox'/><label for='index-0c62576e-4e6b-4011-afb1-377e3b62a85e' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([5300010, 5299950, 5299890, 5299830, 5299770, 5299710, 5299650, 5299590,\n",
-       "       5299530, 5299470,\n",
+       "      dtype=&#x27;int64&#x27;, name=&#x27;quality_l1c_quicklook_x&#x27;, length=10980))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>quality_l1c_quicklook_y</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-f6298de3-e65d-4d45-8d22-9f9cf059e163' class='xr-index-data-in' type='checkbox'/><label for='index-f6298de3-e65d-4d45-8d22-9f9cf059e163' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([8000035, 8000025, 8000015, 8000005, 7999995, 7999985, 7999975, 7999965,\n",
+       "       7999955, 7999945,\n",
        "       ...\n",
-       "       5190810, 5190750, 5190690, 5190630, 5190570, 5190510, 5190450, 5190390,\n",
-       "       5190330, 5190270],\n",
-       "      dtype=&#x27;int64&#x27;, name=&#x27;quality_l2a_quicklook_r60m_y&#x27;, length=1830))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>quality_mask_r10m_x</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-79f4962a-05d2-40b4-a1a5-bb7e0f2f440f' class='xr-index-data-in' type='checkbox'/><label for='index-79f4962a-05d2-40b4-a1a5-bb7e0f2f440f' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([499985, 499995, 500005, 500015, 500025, 500035, 500045, 500055, 500065,\n",
+       "       7890335, 7890325, 7890315, 7890305, 7890295, 7890285, 7890275, 7890265,\n",
+       "       7890255, 7890245],\n",
+       "      dtype=&#x27;int64&#x27;, name=&#x27;quality_l1c_quicklook_y&#x27;, length=10980))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>quality_mask_r10m_x</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-794515b4-e729-49c1-8a46-dc2b0b24f14f' class='xr-index-data-in' type='checkbox'/><label for='index-794515b4-e729-49c1-8a46-dc2b0b24f14f' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([499985, 499995, 500005, 500015, 500025, 500035, 500045, 500055, 500065,\n",
        "       500075,\n",
        "       ...\n",
        "       609685, 609695, 609705, 609715, 609725, 609735, 609745, 609755, 609765,\n",
        "       609775],\n",
-       "      dtype=&#x27;int64&#x27;, name=&#x27;quality_mask_r10m_x&#x27;, length=10980))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>quality_mask_r10m_y</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-9dfb0f22-1ebc-4690-adb3-bf4c2754217e' class='xr-index-data-in' type='checkbox'/><label for='index-9dfb0f22-1ebc-4690-adb3-bf4c2754217e' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([5300035, 5300025, 5300015, 5300005, 5299995, 5299985, 5299975, 5299965,\n",
-       "       5299955, 5299945,\n",
+       "      dtype=&#x27;int64&#x27;, name=&#x27;quality_mask_r10m_x&#x27;, length=10980))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>quality_mask_r10m_y</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-f6787859-1abc-4cb9-96b7-6bacfedbef08' class='xr-index-data-in' type='checkbox'/><label for='index-f6787859-1abc-4cb9-96b7-6bacfedbef08' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([8000035, 8000025, 8000015, 8000005, 7999995, 7999985, 7999975, 7999965,\n",
+       "       7999955, 7999945,\n",
        "       ...\n",
-       "       5190335, 5190325, 5190315, 5190305, 5190295, 5190285, 5190275, 5190265,\n",
-       "       5190255, 5190245],\n",
-       "      dtype=&#x27;int64&#x27;, name=&#x27;quality_mask_r10m_y&#x27;, length=10980))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>quality_mask_r20m_x</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-ed922cf4-6291-412f-b409-281432136471' class='xr-index-data-in' type='checkbox'/><label for='index-ed922cf4-6291-412f-b409-281432136471' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([499990, 500010, 500030, 500050, 500070, 500090, 500110, 500130, 500150,\n",
+       "       7890335, 7890325, 7890315, 7890305, 7890295, 7890285, 7890275, 7890265,\n",
+       "       7890255, 7890245],\n",
+       "      dtype=&#x27;int64&#x27;, name=&#x27;quality_mask_r10m_y&#x27;, length=10980))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>quality_mask_r20m_x</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-f77176a7-826a-4c32-bcb5-31bc2c3588be' class='xr-index-data-in' type='checkbox'/><label for='index-f77176a7-826a-4c32-bcb5-31bc2c3588be' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([499990, 500010, 500030, 500050, 500070, 500090, 500110, 500130, 500150,\n",
        "       500170,\n",
        "       ...\n",
        "       609590, 609610, 609630, 609650, 609670, 609690, 609710, 609730, 609750,\n",
        "       609770],\n",
-       "      dtype=&#x27;int64&#x27;, name=&#x27;quality_mask_r20m_x&#x27;, length=5490))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>quality_mask_r20m_y</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-58525f00-6c91-4563-a0f0-f342f7f9635b' class='xr-index-data-in' type='checkbox'/><label for='index-58525f00-6c91-4563-a0f0-f342f7f9635b' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([5300030, 5300010, 5299990, 5299970, 5299950, 5299930, 5299910, 5299890,\n",
-       "       5299870, 5299850,\n",
+       "      dtype=&#x27;int64&#x27;, name=&#x27;quality_mask_r20m_x&#x27;, length=5490))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>quality_mask_r20m_y</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-8a0ba725-b6c5-4262-af31-48c0f7a24e36' class='xr-index-data-in' type='checkbox'/><label for='index-8a0ba725-b6c5-4262-af31-48c0f7a24e36' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([8000030, 8000010, 7999990, 7999970, 7999950, 7999930, 7999910, 7999890,\n",
+       "       7999870, 7999850,\n",
        "       ...\n",
-       "       5190430, 5190410, 5190390, 5190370, 5190350, 5190330, 5190310, 5190290,\n",
-       "       5190270, 5190250],\n",
-       "      dtype=&#x27;int64&#x27;, name=&#x27;quality_mask_r20m_y&#x27;, length=5490))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>quality_mask_r60m_x</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-cd5dfc84-cd1b-4f0f-ab44-84beb251e51e' class='xr-index-data-in' type='checkbox'/><label for='index-cd5dfc84-cd1b-4f0f-ab44-84beb251e51e' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([500010, 500070, 500130, 500190, 500250, 500310, 500370, 500430, 500490,\n",
+       "       7890430, 7890410, 7890390, 7890370, 7890350, 7890330, 7890310, 7890290,\n",
+       "       7890270, 7890250],\n",
+       "      dtype=&#x27;int64&#x27;, name=&#x27;quality_mask_r20m_y&#x27;, length=5490))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>quality_mask_r60m_x</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-9c9df41b-3b36-445b-b234-cdb784ac72eb' class='xr-index-data-in' type='checkbox'/><label for='index-9c9df41b-3b36-445b-b234-cdb784ac72eb' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([500010, 500070, 500130, 500190, 500250, 500310, 500370, 500430, 500490,\n",
        "       500550,\n",
        "       ...\n",
        "       609210, 609270, 609330, 609390, 609450, 609510, 609570, 609630, 609690,\n",
        "       609750],\n",
-       "      dtype=&#x27;int64&#x27;, name=&#x27;quality_mask_r60m_x&#x27;, length=1830))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>quality_mask_r60m_y</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-25136591-bccc-45b6-be2f-a15025f4dee4' class='xr-index-data-in' type='checkbox'/><label for='index-25136591-bccc-45b6-be2f-a15025f4dee4' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([5300010, 5299950, 5299890, 5299830, 5299770, 5299710, 5299650, 5299590,\n",
-       "       5299530, 5299470,\n",
-       "       ...\n",
-       "       5190810, 5190750, 5190690, 5190630, 5190570, 5190510, 5190450, 5190390,\n",
-       "       5190330, 5190270],\n",
-       "      dtype=&#x27;int64&#x27;, name=&#x27;quality_mask_r60m_y&#x27;, length=1830))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>quality_probability_x</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-f5d75376-ca00-45ff-97e6-8d77b44267e6' class='xr-index-data-in' type='checkbox'/><label for='index-f5d75376-ca00-45ff-97e6-8d77b44267e6' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([499990, 500010, 500030, 500050, 500070, 500090, 500110, 500130, 500150,\n",
-       "       500170,\n",
+       "      dtype=&#x27;int64&#x27;, name=&#x27;quality_mask_r60m_x&#x27;, length=1830))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>quality_mask_r60m_y</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-bf1ac0a4-74ad-4d44-8adc-7b3cb764fa94' class='xr-index-data-in' type='checkbox'/><label for='index-bf1ac0a4-74ad-4d44-8adc-7b3cb764fa94' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([8000010, 7999950, 7999890, 7999830, 7999770, 7999710, 7999650, 7999590,\n",
+       "       7999530, 7999470,\n",
        "       ...\n",
-       "       609590, 609610, 609630, 609650, 609670, 609690, 609710, 609730, 609750,\n",
-       "       609770],\n",
-       "      dtype=&#x27;int64&#x27;, name=&#x27;quality_probability_x&#x27;, length=5490))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>quality_probability_y</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-d57035ec-5215-498a-b07e-310910f75648' class='xr-index-data-in' type='checkbox'/><label for='index-d57035ec-5215-498a-b07e-310910f75648' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([5300030, 5300010, 5299990, 5299970, 5299950, 5299930, 5299910, 5299890,\n",
-       "       5299870, 5299850,\n",
-       "       ...\n",
-       "       5190430, 5190410, 5190390, 5190370, 5190350, 5190330, 5190310, 5190290,\n",
-       "       5190270, 5190250],\n",
-       "      dtype=&#x27;int64&#x27;, name=&#x27;quality_probability_y&#x27;, length=5490))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-e47b4059-b9e7-40e8-92a1-48fd6c553c25' class='xr-section-summary-in' type='checkbox'  checked><label for='section-e47b4059-b9e7-40e8-92a1-48fd6c553c25' class='xr-section-summary' >Attributes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>other_metadata :</span></dt><dd>{&#x27;AOT_retrieval_model&#x27;: &#x27;CAMS&#x27;, &#x27;L0_ancillary_data_quality&#x27;: &#x27;4&#x27;, &#x27;L0_ephemeris_data_quality&#x27;: &#x27;5&#x27;, &#x27;NUC_table_ID&#x27;: 3, &#x27;SWIR_rearrangement_flag&#x27;: &#x27;null&#x27;, &#x27;UTM_zone_identification&#x27;: &#x27;S2A_OPER_MSI_L2A_TL_2APS_20240101T144052_A044535_T32TNT_N05.10&#x27;, &#x27;absolute_location_assessment_from_AOCS&#x27;: &#x27;\\n          &#x27;, &#x27;band_description&#x27;: {&#x27;01&#x27;: {&#x27;bandwidth&#x27;: &#x27;20.0&#x27;, &#x27;central_wavelength&#x27;: 442.7, &#x27;onboard_compression_rate&#x27;: &#x27;2.655&#x27;, &#x27;onboard_integration_time&#x27;: &#x27;7.4473767&#x27;, &#x27;physical_gain&#x27;: &#x27;4.10299968&#x27;, &#x27;spectral_response_step&#x27;: &#x27;1&#x27;, &#x27;spectral_response_values&#x27;: &#x27;0.001775742 0.004073061 0.003626143 0.003515199 0.005729163 0.003780292 0.002636732 0.001262113 0.001987583 0.001368913 0.001250444 0.000463454 0.000814293 0.001376431 0.001485086 0.001823735 0.001626817 0.004392062 0.029008099 0.11874593 0.32387506 0.57281921 0.71472749 0.76196778 0.78929702 0.80862387 0.81089382 0.82419876 0.85415811 0.87079088 0.88731097 0.92619924 0.98228149 1 0.9752382 0.93596338 0.88997148 0.85021048 0.82569453 0.78390239 0.61417422 0.33007109 0.12410831 0.04365694 0.014749595&#x27;, &#x27;units&#x27;: &#x27;nm&#x27;, &#x27;wavelength_max&#x27;: 456.0, &#x27;wavelength_min&#x27;: 412.0}, &#x27;02&#x27;: {&#x27;bandwidth&#x27;: &#x27;65.0&#x27;, &#x27;central_wavelength&#x27;: 492.7, &#x27;onboard_compression_rate&#x27;: &#x27;2.97&#x27;, &#x27;onboard_integration_time&#x27;: &#x27;1.2821506&#x27;, &#x27;physical_gain&#x27;: &#x27;3.75669878&#x27;, &#x27;spectral_response_step&#x27;: &#x27;1&#x27;, &#x27;spectral_response_values&#x27;: &#x27;0.04255531 0.0722983 0.15374322 0.32799225 0.55336788 0.71011166 0.75285179 0.75232691 0.75668081 0.76326948 0.76239425 0.7852515 0.81546669 0.86179176 0.89282599 0.9195221 0.91900649 0.91315754 0.90035366 0.88989693 0.8823246 0.87606118 0.88429987 0.90695544 0.93232085 0.93947252 0.94383543 0.92204086 0.8860231 0.84743609 0.81251687 0.7823971 0.7731087 0.77209054 0.78742652 0.81217177 0.84605052 0.88767996 0.92793997 0.95069235 0.96573311 0.96938253 0.96570294 0.95832003 0.95405064 0.95178268 0.95699722 0.96556515 0.9770514 0.97709574 0.97436606 0.95903183 0.93506318 0.90190134 0.87165792 0.84402444 0.82280852 0.81536043 0.82057639 0.8395149 0.86992171 0.91526205 0.96067028 0.99163699 1 0.98356097 0.91130763 0.74018256 0.50395858 0.3050155 0.18004605 0.10738342 0.06593592 0.04207746 0.02662129 0.0143396 0.00265779 0.00081822&#x27;, &#x27;units&#x27;: &#x27;nm&#x27;, &#x27;wavelength_max&#x27;: 533.0, &#x27;wavelength_min&#x27;: 456.0}, &#x27;03&#x27;: {&#x27;bandwidth&#x27;: &#x27;35.0&#x27;, &#x27;central_wavelength&#x27;: 559.8, &#x27;onboard_compression_rate&#x27;: &#x27;2.97&#x27;, &#x27;onboard_integration_time&#x27;: &#x27;1.3230393&#x27;, &#x27;physical_gain&#x27;: &#x27;4.18660465&#x27;, &#x27;spectral_response_step&#x27;: &#x27;1&#x27;, &#x27;spectral_response_values&#x27;: &#x27;0.01448181 0.03422251 0.07346335 0.15444843 0.31661425 0.55322279 0.74859406 0.84890306 0.89772216 0.9215368 0.92572845 0.91122688 0.88818924 0.86523756 0.84718187 0.8387572 0.84459081 0.86219653 0.88838714 0.92443236 0.96017974 0.98685516 1 0.9986008 0.98076472 0.94522089 0.8981778 0.85580323 0.81841734 0.78862048 0.76460653 0.74963745 0.75055111 0.76137888 0.78244479 0.79890086 0.81016957 0.81408886 0.77358596 0.62881065 0.40397555 0.21542098 0.10715281 0.04792877 0.01848693 0.00108588&#x27;, &#x27;units&#x27;: &#x27;nm&#x27;, &#x27;wavelength_max&#x27;: 583.0, &#x27;wavelength_min&#x27;: 538.0}, &#x27;04&#x27;: {&#x27;bandwidth&#x27;: &#x27;30.0&#x27;, &#x27;central_wavelength&#x27;: 664.6, &#x27;onboard_compression_rate&#x27;: &#x27;2.97&#x27;, &#x27;onboard_integration_time&#x27;: &#x27;1.3872929&#x27;, &#x27;physical_gain&#x27;: &#x27;4.52074437&#x27;, &#x27;spectral_response_step&#x27;: &#x27;1&#x27;, &#x27;spectral_response_values&#x27;: &#x27;0.00141521 0.02590238 0.11651178 0.39088616 0.74959342 0.94485805 0.98011173 0.99406309 1 0.99545475 0.99052772 0.97733476 0.94055988 0.87894956 0.81629384 0.77345952 0.75448766 0.75991531 0.7826343 0.8101689 0.83612975 0.86125424 0.88609106 0.91138767 0.93405146 0.95042063 0.9592573 0.96039555 0.95913395 0.95809013 0.95527459 0.94376465 0.89490799 0.74426308 0.476777 0.22960399 0.08009118 0.02617076 0.00415242&#x27;, &#x27;units&#x27;: &#x27;nm&#x27;, &#x27;wavelength_max&#x27;: 684.0, &#x27;wavelength_min&#x27;: 646.0}, &#x27;05&#x27;: {&#x27;bandwidth&#x27;: &#x27;15.0&#x27;, &#x27;central_wavelength&#x27;: 704.1, &#x27;onboard_compression_rate&#x27;: &#x27;2.655&#x27;, &#x27;onboard_integration_time&#x27;: &#x27;2.844058&#x27;, &#x27;physical_gain&#x27;: &#x27;5.20537089&#x27;, &#x27;spectral_response_step&#x27;: &#x27;1&#x27;, &#x27;spectral_response_values&#x27;: &#x27;0.02835786 0.12369337 0.39378774 0.76113071 0.97108502 0.99889523 1 0.99412258 0.98321789 0.96704093 0.94847389 0.92714833 0.90372458 0.88614713 0.86723745 0.79075319 0.58840332 0.26334833 0.05675422 0.00618833&#x27;, &#x27;units&#x27;: &#x27;nm&#x27;, &#x27;wavelength_max&#x27;: 714.0, &#x27;wavelength_min&#x27;: 695.0}, &#x27;06&#x27;: {&#x27;bandwidth&#x27;: &#x27;13.0&#x27;, &#x27;central_wavelength&#x27;: 740.5, &#x27;onboard_compression_rate&#x27;: &#x27;2.655&#x27;, &#x27;onboard_integration_time&#x27;: &#x27;2.7251472&#x27;, &#x27;physical_gain&#x27;: &#x27;4.87185404&#x27;, &#x27;spectral_response_step&#x27;: &#x27;1&#x27;, &#x27;spectral_response_values&#x27;: &#x27;0.00171088 0.05467153 0.25806676 0.64722098 0.89218999 0.90232877 0.91508768 0.94115846 0.96299993 0.97510481 0.9770217 0.98736251 1 0.98880277 0.97179916 0.90126739 0.60672391 0.20520227 0.0267569&#x27;, &#x27;units&#x27;: &#x27;nm&#x27;, &#x27;wavelength_max&#x27;: 749.0, &#x27;wavelength_min&#x27;: 731.0}, &#x27;07&#x27;: {&#x27;bandwidth&#x27;: &#x27;19.0&#x27;, &#x27;central_wavelength&#x27;: 782.8, &#x27;onboard_compression_rate&#x27;: &#x27;2.655&#x27;, &#x27;onboard_integration_time&#x27;: &#x27;2.7489293&#x27;, &#x27;physical_gain&#x27;: &#x27;4.53524853&#x27;, &#x27;spectral_response_step&#x27;: &#x27;1&#x27;, &#x27;spectral_response_values&#x27;: &#x27;0.00045899 0.0117201 0.05219715 0.16561733 0.36903355 0.63685453 0.86119638 0.97002897 0.99119602 0.99897921 1 0.97725155 0.92572385 0.86605804 0.81969611 0.79407674 0.79111029 0.80431552 0.81902721 0.82571292 0.82011829 0.79222195 0.72054559 0.58767794 0.41430355 0.23088817 0.09850282 0.02736551 0.00516235&#x27;, &#x27;units&#x27;: &#x27;nm&#x27;, &#x27;wavelength_max&#x27;: 797.0, &#x27;wavelength_min&#x27;: 769.0}, &#x27;08&#x27;: {&#x27;bandwidth&#x27;: &#x27;105.0&#x27;, &#x27;central_wavelength&#x27;: 832.8, &#x27;onboard_compression_rate&#x27;: &#x27;2.97&#x27;, &#x27;onboard_integration_time&#x27;: &#x27;1.2704681&#x27;, &#x27;physical_gain&#x27;: &#x27;6.16164352&#x27;, &#x27;spectral_response_step&#x27;: &#x27;1&#x27;, &#x27;spectral_response_values&#x27;: &#x27;0.00067259 0.00388856 0 0 0 0 0 0 0 0 0 0 0 0.00028956 0.00702964 0.01752391 0.03231111 0.05328661 0.08299885 0.12748502 0.19591065 0.30246323 0.43553954 0.57141637 0.69766701 0.80303852 0.89115744 0.95284584 0.98894161 1 0.98840653 0.96389216 0.94207967 0.93694643 0.94227343 0.95395718 0.96828896 0.97966549 0.9854444 0.98592681 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&#x27;used CAMS file names&#x27;: &#x27;S2__OPER_AUX_CAMSFO_ADG__20240101T000000_V20240101T000000_20240103T010000&#x27;, &#x27;used DEM file name&#x27;: &#x27;CopernicusDEM30&#x27;, &#x27;used ECMWF file names&#x27;: &#x27;S2__OPER_AUX_ECMWFD_ADG__20240101T000000_V20240101T090000_20240103T030000&#x27;, &#x27;used GRI file name&#x27;: &#x27;S2A_OPER_GRI_MSIL1B_MPC__20160521T184422_S20151114T103133,S2A_OPER_GRI_MSIL1B_MPC__20160531T210152_S20160512T102954,S2A_OPER_GRI_MSIL1B_MPC__20160907T095549_S20160422T103554,S2A_OPER_GRI_MSIL1B_MPC__20161018T120000_S20150826T102633&#x27;, &#x27;used IERS file name&#x27;: &#x27;S2__OPER_AUX_UT1UTC_PDMC_20231230T000000_V20231230T000000_20241229T000000&#x27;}, &#x27;organisation&#x27;: &#x27;ESA&#x27;, &#x27;output&#x27;: &#x27;S2MSIL1A_etc&#x27;, &#x27;processor&#x27;: &#x27;Sentinel-2 IPF&#x27;, &#x27;type&#x27;: &#x27;Level-1A Product&#x27;, &#x27;version&#x27;: &#x27;???&#x27;}, {&#x27;inputs&#x27;: {&#x27;Level-1A Product&#x27;: &#x27;S2MSIL1A_etc&#x27;, &#x27;list of used processing parameters file names&#x27;: &#x27;S2A_OPER_GIP_INVLOC_MPC__20171206T000000_V20150703T000000_21000101T000000_B00,S2A_OPER_GIP_LREXTR_MPC__20150605T094736_V20150622T000000_21000101T000000_B00,S2A_OPER_GIP_ATMIMA_MPC__20150605T094744_V20150622T000000_21000101T000000_B00,S2A_OPER_GIP_ATMSAD_MPC__20160729T000005_V20150703T000000_21000101T000000_B00,S2A_OPER_GIP_BLINDP_MPC__20150605T094736_V20150622T000000_21000101T000000_B00,S2A_OPER_GIP_CLOINV_MPC__20210609T000005_V20210823T030000_21000101T000000_B00,S2A_OPER_GIP_CLOPAR_MPC__20220120T000001_V20220125T022000_21000101T000000_B00,S2A_OPER_GIP_CONVER_MPC__20150710T131444_V20150627T000000_21000101T000000_B00,S2A_OPER_GIP_DATATI_MPC__20151117T131048_V20150703T000000_21000101T000000_B00,S2A_OPER_GIP_DECOMP_MPC__20121031T075922_V19830101T000000_21000101T000000_B00,S2__OPER_GIP_EARMOD_MPC__20150605T094736_V20150622T000000_21000101T000000_B00,S2A_OPER_GIP_ECMWFP_MPC__20121031T075922_V19830101T000000_21000101T000000_B00,S2A_OPER_GIP_G2PARA_MPC__20231208T000027_V20231213T070000_21000101T000000_B00,S2A_OPER_GIP_G2PARE_MPC__20150605T094736_V20150622T000000_21000101T000000_B00,S2A_OPER_GIP_GEOPAR_MPC__20150605T094741_V20150622T000000_21000101T000000_B00,S2A_OPER_GIP_INTDET_MPC__20220120T000010_V20220125T022000_21000101T000000_B00,S2A_OPER_GIP_JP2KPA_MPC__20220120T000006_V20220125T022000_21000101T000000_B00,S2A_OPER_GIP_MASPAR_MPC__20220120T000009_V20220125T022000_21000101T000000_B00,S2A_OPER_GIP_OLQCPA_MPC__20220715T000042_V20220830T002500_21000101T000000_B00,S2A_OPER_GIP_PRDLOC_MPC__20180301T130000_V20180305T005000_21000101T000000_B00,S2A_OPER_GIP_PROBAS_MPC__20231208T000510_V20231213T070000_21000101T000000_B00,S2A_OPER_GIP_R2ABCA_MPC__20231108T144900_V20231109T000000_21000101T000000_B00,S2A_OPER_GIP_R2BINN_MPC__20150605T094803_V20150622T000000_21000101T000000_B00,S2A_OPER_GIP_R2CRCO_MPC__20151023T224715_V20150622T224715_21000101T000000_B00,S2A_OPER_GIP_R2DECT_MPC__20150605T094742_V20150622T000000_21000101T000000_B12,S2A_OPER_GIP_R2DECT_MPC__20150605T094742_V20150622T000000_21000101T000000_B10,S2A_OPER_GIP_R2DECT_MPC__20150605T094741_V20150622T000000_21000101T000000_B03,S2A_OPER_GIP_R2DECT_MPC__20150605T094741_V20150622T000000_21000101T000000_B04,S2A_OPER_GIP_R2DECT_MPC__20150605T094741_V20150622T000000_21000101T000000_B05,S2A_OPER_GIP_R2DECT_MPC__20150605T094741_V20150622T000000_21000101T000000_B08,S2A_OPER_GIP_R2DECT_MPC__20150605T094741_V20150622T000000_21000101T000000_B06,S2A_OPER_GIP_R2DECT_MPC__20150605T094742_V20150622T000000_21000101T000000_B09,S2A_OPER_GIP_R2DECT_MPC__20150605T094741_V20150622T000000_21000101T000000_B8A,S2A_OPER_GIP_R2DECT_MPC__20150605T094741_V20150622T000000_21000101T000000_B07,S2A_OPER_GIP_R2DECT_MPC__20150605T094741_V20150622T000000_21000101T000000_B01,S2A_OPER_GIP_R2DECT_MPC__20150605T094742_V20150622T000000_21000101T000000_B11,S2A_OPER_GIP_R2DECT_MPC__20150605T094741_V20150622T000000_21000101T000000_B02,S2A_OPER_GIP_R2DEFI_MPC__20150605T094741_V20150622T000000_21000101T000000_B12,S2A_OPER_GIP_R2DEFI_MPC__20150605T094741_V20150622T000000_21000101T000000_B09,S2A_OPER_GIP_R2DEFI_MPC__20150605T094741_V20150622T000000_21000101T000000_B04,S2A_OPER_GIP_R2DEFI_MPC__20150605T094741_V20150622T000000_21000101T000000_B11,S2A_OPER_GIP_R2DEFI_MPC__20150605T094741_V20150622T000000_21000101T000000_B02,S2A_OPER_GIP_R2DEFI_MPC__20150605T094741_V20150622T000000_21000101T000000_B08,S2A_OPER_GIP_R2DEFI_MPC__20150605T094741_V20150622T000000_21000101T000000_B10,S2A_OPER_GIP_R2DEFI_MPC__20150605T094741_V20150622T000000_21000101T000000_B07,S2A_OPER_GIP_R2DEFI_MPC__20150605T094741_V20150622T000000_21000101T000000_B8A,S2A_OPER_GIP_R2DEFI_MPC__20150605T094742_V20150622T000000_21000101T000000_B01,S2A_OPER_GIP_R2DEFI_MPC__20150605T094741_V20150622T000000_21000101T000000_B03,S2A_OPER_GIP_R2DEFI_MPC__20150605T094741_V20150622T000000_21000101T000000_B05,S2A_OPER_GIP_R2DEFI_MPC__20150605T094741_V20150622T000000_21000101T000000_B06,S2A_OPER_GIP_R2DENT_MPC__20150605T094742_V20150622T000000_21000101T000000_B04,S2A_OPER_GIP_R2DENT_MPC__20150605T094741_V20150622T000000_21000101T000000_B01,S2A_OPER_GIP_R2DENT_MPC__20150605T094742_V20150622T000000_21000101T000000_B08,S2A_OPER_GIP_R2DENT_MPC__20150605T094742_V20150622T000000_21000101T000000_B06,S2A_OPER_GIP_R2DENT_MPC__20150605T094742_V20150622T000000_21000101T000000_B03,S2A_OPER_GIP_R2DENT_MPC__20150605T094742_V20150622T000000_21000101T000000_B09,S2A_OPER_GIP_R2DENT_MPC__20150605T094742_V20150622T000000_21000101T000000_B11,S2A_OPER_GIP_R2DENT_MPC__20150605T094742_V20150622T000000_21000101T000000_B07,S2A_OPER_GIP_R2DENT_MPC__20150605T094742_V20150622T000000_21000101T000000_B10,S2A_OPER_GIP_R2DENT_MPC__20150605T094742_V20150622T000000_21000101T000000_B05,S2A_OPER_GIP_R2DENT_MPC__20150605T094742_V20150622T000000_21000101T000000_B02,S2A_OPER_GIP_R2DENT_MPC__20150605T094742_V20150622T000000_21000101T000000_B8A,S2A_OPER_GIP_R2DENT_MPC__20150605T094742_V20150622T000000_21000101T000000_B12,S2A_OPER_GIP_R2DEPI_MPC__20230424T160000_V20230426T000000_21000101T000000_B00,S2A_OPER_GIP_R2EOB2_MPC__20190412T145327_V20190429T000000_21000101T000000_B11,S2A_OPER_GIP_R2EOB2_MPC__20190412T145327_V20190429T000000_21000101T000000_B8A,S2A_OPER_GIP_R2EOB2_MPC__20190412T145327_V20190429T000000_21000101T000000_B09,S2A_OPER_GIP_R2EOB2_MPC__20190412T145327_V20190429T000000_21000101T000000_B06,S2A_OPER_GIP_R2EOB2_MPC__20190412T145327_V20190429T000000_21000101T000000_B04,S2A_OPER_GIP_R2EOB2_MPC__20190412T145327_V20190429T000000_21000101T000000_B12,S2A_OPER_GIP_R2EOB2_MPC__20190412T145327_V20190429T000000_21000101T000000_B03,S2A_OPER_GIP_R2EOB2_MPC__20190412T145327_V20190429T000000_21000101T000000_B01,S2A_OPER_GIP_R2EOB2_MPC__20190412T145327_V20190429T000000_21000101T000000_B02,S2A_OPER_GIP_R2EOB2_MPC__20190412T145327_V20190429T000000_21000101T000000_B10,S2A_OPER_GIP_R2EOB2_MPC__20190412T145327_V20190429T000000_21000101T000000_B07,S2A_OPER_GIP_R2EOB2_MPC__20190412T145327_V20190429T000000_21000101T000000_B08,S2A_OPER_GIP_R2EOB2_MPC__20190412T145327_V20190429T000000_21000101T000000_B05,S2A_OPER_GIP_R2EQOG_MPC__20231108T144900_V20231109T000000_21000101T000000_B03,S2A_OPER_GIP_R2EQOG_MPC__20231108T144900_V20231109T000000_21000101T000000_B8A,S2A_OPER_GIP_R2EQOG_MPC__20231108T144900_V20231109T000000_21000101T000000_B11,S2A_OPER_GIP_R2EQOG_MPC__20231108T144900_V20231109T000000_21000101T000000_B12,S2A_OPER_GIP_R2EQOG_MPC__20231108T144900_V20231109T000000_21000101T000000_B10,S2A_OPER_GIP_R2EQOG_MPC__20231108T144900_V20231109T000000_21000101T000000_B06,S2A_OPER_GIP_R2EQOG_MPC__20231108T144900_V20231109T000000_21000101T000000_B04,S2A_OPER_GIP_R2EQOG_MPC__20231108T144900_V20231109T000000_21000101T000000_B05,S2A_OPER_GIP_R2EQOG_MPC__20231108T144900_V20231109T000000_21000101T000000_B02,S2A_OPER_GIP_R2EQOG_MPC__20231108T144900_V20231109T000000_21000101T000000_B08,S2A_OPER_GIP_R2EQOG_MPC__20231108T144900_V20231109T000000_21000101T000000_B09,S2A_OPER_GIP_R2EQOG_MPC__20231108T144900_V20231109T000000_21000101T000000_B01,S2A_OPER_GIP_R2EQOG_MPC__20231108T144900_V20231109T000000_21000101T000000_B07,S2A_OPER_GIP_R2L2NC_MPC__20150605T094742_V20150622T000000_21000101T000000_B04,S2A_OPER_GIP_R2L2NC_MPC__20150605T094742_V20150622T000000_21000101T000000_B09,S2A_OPER_GIP_R2L2NC_MPC__20150605T094742_V20150622T000000_21000101T000000_B11,S2A_OPER_GIP_R2L2NC_MPC__20150605T094742_V20150622T000000_21000101T000000_B07,S2A_OPER_GIP_R2L2NC_MPC__20150605T094742_V20150622T000000_21000101T000000_B05,S2A_OPER_GIP_R2L2NC_MPC__20150605T094742_V20150622T000000_21000101T000000_B08,S2A_OPER_GIP_R2L2NC_MPC__20150605T094742_V20150622T000000_21000101T000000_B8A,S2A_OPER_GIP_R2L2NC_MPC__20150605T094742_V20150622T000000_21000101T000000_B01,S2A_OPER_GIP_R2L2NC_MPC__20150605T094742_V20150622T000000_21000101T000000_B10,S2A_OPER_GIP_R2L2NC_MPC__20150605T094742_V20150622T000000_21000101T000000_B06,S2A_OPER_GIP_R2L2NC_MPC__20150605T094742_V20150622T000000_21000101T000000_B12,S2A_OPER_GIP_R2L2NC_MPC__20150605T094742_V20150622T000000_21000101T000000_B02,S2A_OPER_GIP_R2L2NC_MPC__20150605T094741_V20150622T000000_21000101T000000_B03,S2A_OPER_GIP_R2NOMO_MPC__20150605T094803_V20150622T000000_21000101T000000_B00,S2A_OPER_GIP_R2PARA_MPC__20221206T000009_V20221206T073000_21000101T000000_B00,S2A_OPER_GIP_R2SWIR_MPC__20180406T000021_V20180604T100000_21000101T000000_B00,S2A_OPER_GIP_R2WAFI_MPC__20150605T094742_V20150622T000000_21000101T000000_B05,S2A_OPER_GIP_R2WAFI_MPC__20150605T094742_V20150622T000000_21000101T000000_B04,S2A_OPER_GIP_R2WAFI_MPC__20150605T094742_V20150622T000000_21000101T000000_B07,S2A_OPER_GIP_R2WAFI_MPC__20150605T094742_V20150622T000000_21000101T000000_B06,S2A_OPER_GIP_R2WAFI_MPC__20150605T094742_V20150622T000000_21000101T000000_B09,S2A_OPER_GIP_R2WAFI_MPC__20150605T094742_V20150622T000000_21000101T000000_B8A,S2A_OPER_GIP_R2WAFI_MPC__20150605T094742_V20150622T000000_21000101T000000_B08,S2A_OPER_GIP_R2WAFI_MPC__20150605T094742_V20150622T000000_21000101T000000_B10,S2A_OPER_GIP_R2WAFI_MPC__20150605T094742_V20150622T000000_21000101T000000_B12,S2A_OPER_GIP_R2WAFI_MPC__20150605T094742_V20150622T000000_21000101T000000_B11,S2A_OPER_GIP_R2WAFI_MPC__20150605T094742_V20150622T000000_21000101T000000_B01,S2A_OPER_GIP_R2WAFI_MPC__20150605T094742_V20150622T000000_21000101T000000_B03,S2A_OPER_GIP_R2WAFI_MPC__20150605T094742_V20150622T000000_21000101T000000_B02,S2A_OPER_GIP_RESPAR_MPC__20150605T094736_V20150622T000000_21000101T000000_B00,S2A_OPER_GIP_SPAMOD_MPC__20231122T110026_V20231123T010000_21000101T000000_B00,S2A_OPER_GIP_TILPAR_MPC__20151209T095117_V20150622T000000_21000101T000000_B00,S2A_OPER_GIP_VIEDIR_MPC__20151117T131050_V20150703T000000_21000101T000000_B05,S2A_OPER_GIP_VIEDIR_MPC__20151117T131048_V20150703T000000_21000101T000000_B01,S2A_OPER_GIP_VIEDIR_MPC__20151117T131049_V20150703T000000_21000101T000000_B02,S2A_OPER_GIP_VIEDIR_MPC__20151117T131050_V20150703T000000_21000101T000000_B8A,S2A_OPER_GIP_VIEDIR_MPC__20151117T131049_V20150703T000000_21000101T000000_B03,S2A_OPER_GIP_VIEDIR_MPC__20151117T131050_V20150703T000000_21000101T000000_B07,S2A_OPER_GIP_VIEDIR_MPC__20151117T131050_V20150703T000000_21000101T000000_B10,S2A_OPER_GIP_VIEDIR_MPC__20151117T131049_V20150703T000000_21000101T000000_B04,S2A_OPER_GIP_VIEDIR_MPC__20151117T131050_V20150703T000000_21000101T000000_B06,S2A_OPER_GIP_VIEDIR_MPC__20151117T131050_V20150703T000000_21000101T000000_B09,S2A_OPER_GIP_VIEDIR_MPC__20151117T131050_V20150703T000000_21000101T000000_B08,S2A_OPER_GIP_VIEDIR_MPC__20151117T131050_V20150703T000000_21000101T000000_B11,S2A_OPER_GIP_VIEDIR_MPC__20151117T131051_V20150703T000000_21000101T000000_B12,S2__OPER_GIP_L2ACSC_MPC__20220121T000003_V20220125T022000_21000101T000000_B00,S2__OPER_GIP_L2ACAC_MPC__20220121T000004_V20220125T022000_21000101T000000_B00,S2__OPER_GIP_PROBA2_MPC__20231208T000510_V20231213T070000_21000101T000000_B00&#x27;, &#x27;used CAMS file names&#x27;: &#x27;S2__OPER_AUX_CAMSFO_ADG__20240101T000000_V20240101T000000_20240103T010000&#x27;, &#x27;used DEM file name&#x27;: &#x27;CopernicusDEM30&#x27;, &#x27;used ECMWF file names&#x27;: &#x27;S2__OPER_AUX_ECMWFD_ADG__20240101T000000_V20240101T090000_20240103T030000&#x27;, &#x27;used GRI file name&#x27;: &#x27;S2A_OPER_GRI_MSIL1B_MPC__20160521T184422_S20151114T103133,S2A_OPER_GRI_MSIL1B_MPC__20160531T210152_S20160512T102954,S2A_OPER_GRI_MSIL1B_MPC__20160907T095549_S20160422T103554,S2A_OPER_GRI_MSIL1B_MPC__20161018T120000_S20150826T102633&#x27;, &#x27;used IERS file name&#x27;: &#x27;S2__OPER_AUX_UT1UTC_PDMC_20231230T000000_V20231230T000000_20241229T000000&#x27;}, &#x27;organisation&#x27;: &#x27;ESA&#x27;, &#x27;output&#x27;: &#x27;S2MSIL1B_etc&#x27;, &#x27;processor&#x27;: &#x27;Sentinel-2 IPF&#x27;, &#x27;type&#x27;: &#x27;Level-1B Product&#x27;, &#x27;version&#x27;: &#x27;???&#x27;}, {&#x27;inputs&#x27;: {&#x27;Level-1B Product&#x27;: &#x27;S2MSIL1B_etc&#x27;, &#x27;list of used processing parameters file names&#x27;: &#x27;S2A_OPER_GIP_INVLOC_MPC__20171206T000000_V20150703T000000_21000101T000000_B00,S2A_OPER_GIP_LREXTR_MPC__20150605T094736_V20150622T000000_21000101T000000_B00,S2A_OPER_GIP_ATMIMA_MPC__20150605T094744_V20150622T000000_21000101T000000_B00,S2A_OPER_GIP_ATMSAD_MPC__20160729T000005_V20150703T000000_21000101T000000_B00,S2A_OPER_GIP_BLINDP_MPC__20150605T094736_V20150622T000000_21000101T000000_B00,S2A_OPER_GIP_CLOINV_MPC__20210609T000005_V20210823T030000_21000101T000000_B00,S2A_OPER_GIP_CLOPAR_MPC__20220120T000001_V20220125T022000_21000101T000000_B00,S2A_OPER_GIP_CONVER_MPC__20150710T131444_V20150627T000000_21000101T000000_B00,S2A_OPER_GIP_DATATI_MPC__20151117T131048_V20150703T000000_21000101T000000_B00,S2A_OPER_GIP_DECOMP_MPC__20121031T075922_V19830101T000000_21000101T000000_B00,S2__OPER_GIP_EARMOD_MPC__20150605T094736_V20150622T000000_21000101T000000_B00,S2A_OPER_GIP_ECMWFP_MPC__20121031T075922_V19830101T000000_21000101T000000_B00,S2A_OPER_GIP_G2PARA_MPC__20231208T000027_V20231213T070000_21000101T000000_B00,S2A_OPER_GIP_G2PARE_MPC__20150605T094736_V20150622T000000_21000101T000000_B00,S2A_OPER_GIP_GEOPAR_MPC__20150605T094741_V20150622T000000_21000101T000000_B00,S2A_OPER_GIP_INTDET_MPC__20220120T000010_V20220125T022000_21000101T000000_B00,S2A_OPER_GIP_JP2KPA_MPC__20220120T000006_V20220125T022000_21000101T000000_B00,S2A_OPER_GIP_MASPAR_MPC__20220120T000009_V20220125T022000_21000101T000000_B00,S2A_OPER_GIP_OLQCPA_MPC__20220715T000042_V20220830T002500_21000101T000000_B00,S2A_OPER_GIP_PRDLOC_MPC__20180301T130000_V20180305T005000_21000101T000000_B00,S2A_OPER_GIP_PROBAS_MPC__20231208T000510_V20231213T070000_21000101T000000_B00,S2A_OPER_GIP_R2ABCA_MPC__20231108T144900_V20231109T000000_21000101T000000_B00,S2A_OPER_GIP_R2BINN_MPC__20150605T094803_V20150622T000000_21000101T000000_B00,S2A_OPER_GIP_R2CRCO_MPC__20151023T224715_V20150622T224715_21000101T000000_B00,S2A_OPER_GIP_R2DECT_MPC__20150605T094742_V20150622T000000_21000101T000000_B12,S2A_OPER_GIP_R2DECT_MPC__20150605T094742_V20150622T000000_21000101T000000_B10,S2A_OPER_GIP_R2DECT_MPC__20150605T094741_V20150622T000000_21000101T000000_B03,S2A_OPER_GIP_R2DECT_MPC__20150605T094741_V20150622T000000_21000101T000000_B04,S2A_OPER_GIP_R2DECT_MPC__20150605T094741_V20150622T000000_21000101T000000_B05,S2A_OPER_GIP_R2DECT_MPC__20150605T094741_V20150622T000000_21000101T000000_B08,S2A_OPER_GIP_R2DECT_MPC__20150605T094741_V20150622T000000_21000101T000000_B06,S2A_OPER_GIP_R2DECT_MPC__20150605T094742_V20150622T000000_21000101T000000_B09,S2A_OPER_GIP_R2DECT_MPC__20150605T094741_V20150622T000000_21000101T000000_B8A,S2A_OPER_GIP_R2DECT_MPC__20150605T094741_V20150622T000000_21000101T000000_B07,S2A_OPER_GIP_R2DECT_MPC__20150605T094741_V20150622T000000_21000101T000000_B01,S2A_OPER_GIP_R2DECT_MPC__20150605T094742_V20150622T000000_21000101T000000_B11,S2A_OPER_GIP_R2DECT_MPC__20150605T094741_V20150622T000000_21000101T000000_B02,S2A_OPER_GIP_R2DEFI_MPC__20150605T094741_V20150622T000000_21000101T000000_B12,S2A_OPER_GIP_R2DEFI_MPC__20150605T094741_V20150622T000000_21000101T000000_B09,S2A_OPER_GIP_R2DEFI_MPC__20150605T094741_V20150622T000000_21000101T000000_B04,S2A_OPER_GIP_R2DEFI_MPC__20150605T094741_V20150622T000000_21000101T000000_B11,S2A_OPER_GIP_R2DEFI_MPC__20150605T094741_V20150622T000000_21000101T000000_B02,S2A_OPER_GIP_R2DEFI_MPC__20150605T094741_V20150622T000000_21000101T000000_B08,S2A_OPER_GIP_R2DEFI_MPC__20150605T094741_V20150622T000000_21000101T000000_B10,S2A_OPER_GIP_R2DEFI_MPC__20150605T094741_V20150622T000000_21000101T000000_B07,S2A_OPER_GIP_R2DEFI_MPC__20150605T094741_V20150622T000000_21000101T000000_B8A,S2A_OPER_GIP_R2DEFI_MPC__20150605T094742_V20150622T000000_21000101T000000_B01,S2A_OPER_GIP_R2DEFI_MPC__20150605T094741_V20150622T000000_21000101T000000_B03,S2A_OPER_GIP_R2DEFI_MPC__20150605T094741_V20150622T000000_21000101T000000_B05,S2A_OPER_GIP_R2DEFI_MPC__20150605T094741_V20150622T000000_21000101T000000_B06,S2A_OPER_GIP_R2DENT_MPC__20150605T094742_V20150622T000000_21000101T000000_B04,S2A_OPER_GIP_R2DENT_MPC__20150605T094741_V20150622T000000_21000101T000000_B01,S2A_OPER_GIP_R2DENT_MPC__20150605T094742_V20150622T000000_21000101T000000_B08,S2A_OPER_GIP_R2DENT_MPC__20150605T094742_V20150622T000000_21000101T000000_B06,S2A_OPER_GIP_R2DENT_MPC__20150605T094742_V20150622T000000_21000101T000000_B03,S2A_OPER_GIP_R2DENT_MPC__20150605T094742_V20150622T000000_21000101T000000_B09,S2A_OPER_GIP_R2DENT_MPC__20150605T094742_V20150622T000000_21000101T000000_B11,S2A_OPER_GIP_R2DENT_MPC__20150605T094742_V20150622T000000_21000101T000000_B07,S2A_OPER_GIP_R2DENT_MPC__20150605T094742_V20150622T000000_21000101T000000_B10,S2A_OPER_GIP_R2DENT_MPC__20150605T094742_V20150622T000000_21000101T000000_B05,S2A_OPER_GIP_R2DENT_MPC__20150605T094742_V20150622T000000_21000101T000000_B02,S2A_OPER_GIP_R2DENT_MPC__20150605T094742_V20150622T000000_21000101T000000_B8A,S2A_OPER_GIP_R2DENT_MPC__20150605T094742_V20150622T000000_21000101T000000_B12,S2A_OPER_GIP_R2DEPI_MPC__20230424T160000_V20230426T000000_21000101T000000_B00,S2A_OPER_GIP_R2EOB2_MPC__20190412T145327_V20190429T000000_21000101T000000_B11,S2A_OPER_GIP_R2EOB2_MPC__20190412T145327_V20190429T000000_21000101T000000_B8A,S2A_OPER_GIP_R2EOB2_MPC__20190412T145327_V20190429T000000_21000101T000000_B09,S2A_OPER_GIP_R2EOB2_MPC__20190412T145327_V20190429T000000_21000101T000000_B06,S2A_OPER_GIP_R2EOB2_MPC__20190412T145327_V20190429T000000_21000101T000000_B04,S2A_OPER_GIP_R2EOB2_MPC__20190412T145327_V20190429T000000_21000101T000000_B12,S2A_OPER_GIP_R2EOB2_MPC__20190412T145327_V20190429T000000_21000101T000000_B03,S2A_OPER_GIP_R2EOB2_MPC__20190412T145327_V20190429T000000_21000101T000000_B01,S2A_OPER_GIP_R2EOB2_MPC__20190412T145327_V20190429T000000_21000101T000000_B02,S2A_OPER_GIP_R2EOB2_MPC__20190412T145327_V20190429T000000_21000101T000000_B10,S2A_OPER_GIP_R2EOB2_MPC__20190412T145327_V20190429T000000_21000101T000000_B07,S2A_OPER_GIP_R2EOB2_MPC__20190412T145327_V20190429T000000_21000101T000000_B08,S2A_OPER_GIP_R2EOB2_MPC__20190412T145327_V20190429T000000_21000101T000000_B05,S2A_OPER_GIP_R2EQOG_MPC__20231108T144900_V20231109T000000_21000101T000000_B03,S2A_OPER_GIP_R2EQOG_MPC__20231108T144900_V20231109T000000_21000101T000000_B8A,S2A_OPER_GIP_R2EQOG_MPC__20231108T144900_V20231109T000000_21000101T000000_B11,S2A_OPER_GIP_R2EQOG_MPC__20231108T144900_V20231109T000000_21000101T000000_B12,S2A_OPER_GIP_R2EQOG_MPC__20231108T144900_V20231109T000000_21000101T000000_B10,S2A_OPER_GIP_R2EQOG_MPC__20231108T144900_V20231109T000000_21000101T000000_B06,S2A_OPER_GIP_R2EQOG_MPC__20231108T144900_V20231109T000000_21000101T000000_B04,S2A_OPER_GIP_R2EQOG_MPC__20231108T144900_V20231109T000000_21000101T000000_B05,S2A_OPER_GIP_R2EQOG_MPC__20231108T144900_V20231109T000000_21000101T000000_B02,S2A_OPER_GIP_R2EQOG_MPC__20231108T144900_V20231109T000000_21000101T000000_B08,S2A_OPER_GIP_R2EQOG_MPC__20231108T144900_V20231109T000000_21000101T000000_B09,S2A_OPER_GIP_R2EQOG_MPC__20231108T144900_V20231109T000000_21000101T000000_B01,S2A_OPER_GIP_R2EQOG_MPC__20231108T144900_V20231109T000000_21000101T000000_B07,S2A_OPER_GIP_R2L2NC_MPC__20150605T094742_V20150622T000000_21000101T000000_B04,S2A_OPER_GIP_R2L2NC_MPC__20150605T094742_V20150622T000000_21000101T000000_B09,S2A_OPER_GIP_R2L2NC_MPC__20150605T094742_V20150622T000000_21000101T000000_B11,S2A_OPER_GIP_R2L2NC_MPC__20150605T094742_V20150622T000000_21000101T000000_B07,S2A_OPER_GIP_R2L2NC_MPC__20150605T094742_V20150622T000000_21000101T000000_B05,S2A_OPER_GIP_R2L2NC_MPC__20150605T094742_V20150622T000000_21000101T000000_B08,S2A_OPER_GIP_R2L2NC_MPC__20150605T094742_V20150622T000000_21000101T000000_B8A,S2A_OPER_GIP_R2L2NC_MPC__20150605T094742_V20150622T000000_21000101T000000_B01,S2A_OPER_GIP_R2L2NC_MPC__20150605T094742_V20150622T000000_21000101T000000_B10,S2A_OPER_GIP_R2L2NC_MPC__20150605T094742_V20150622T000000_21000101T000000_B06,S2A_OPER_GIP_R2L2NC_MPC__20150605T094742_V20150622T000000_21000101T000000_B12,S2A_OPER_GIP_R2L2NC_MPC__20150605T094742_V20150622T000000_21000101T000000_B02,S2A_OPER_GIP_R2L2NC_MPC__20150605T094741_V20150622T000000_21000101T000000_B03,S2A_OPER_GIP_R2NOMO_MPC__20150605T094803_V20150622T000000_21000101T000000_B00,S2A_OPER_GIP_R2PARA_MPC__20221206T000009_V20221206T073000_21000101T000000_B00,S2A_OPER_GIP_R2SWIR_MPC__20180406T000021_V20180604T100000_21000101T000000_B00,S2A_OPER_GIP_R2WAFI_MPC__20150605T094742_V20150622T000000_21000101T000000_B05,S2A_OPER_GIP_R2WAFI_MPC__20150605T094742_V20150622T000000_21000101T000000_B04,S2A_OPER_GIP_R2WAFI_MPC__20150605T094742_V20150622T000000_21000101T000000_B07,S2A_OPER_GIP_R2WAFI_MPC__20150605T094742_V20150622T000000_21000101T000000_B06,S2A_OPER_GIP_R2WAFI_MPC__20150605T094742_V20150622T000000_21000101T000000_B09,S2A_OPER_GIP_R2WAFI_MPC__20150605T094742_V20150622T000000_21000101T000000_B8A,S2A_OPER_GIP_R2WAFI_MPC__20150605T094742_V20150622T000000_21000101T000000_B08,S2A_OPER_GIP_R2WAFI_MPC__20150605T094742_V20150622T000000_21000101T000000_B10,S2A_OPER_GIP_R2WAFI_MPC__20150605T094742_V20150622T000000_21000101T000000_B12,S2A_OPER_GIP_R2WAFI_MPC__20150605T094742_V20150622T000000_21000101T000000_B11,S2A_OPER_GIP_R2WAFI_MPC__20150605T094742_V20150622T000000_21000101T000000_B01,S2A_OPER_GIP_R2WAFI_MPC__20150605T094742_V20150622T000000_21000101T000000_B03,S2A_OPER_GIP_R2WAFI_MPC__20150605T094742_V20150622T000000_21000101T000000_B02,S2A_OPER_GIP_RESPAR_MPC__20150605T094736_V20150622T000000_21000101T000000_B00,S2A_OPER_GIP_SPAMOD_MPC__20231122T110026_V20231123T010000_21000101T000000_B00,S2A_OPER_GIP_TILPAR_MPC__20151209T095117_V20150622T000000_21000101T000000_B00,S2A_OPER_GIP_VIEDIR_MPC__20151117T131050_V20150703T000000_21000101T000000_B05,S2A_OPER_GIP_VIEDIR_MPC__20151117T131048_V20150703T000000_21000101T000000_B01,S2A_OPER_GIP_VIEDIR_MPC__20151117T131049_V20150703T000000_21000101T000000_B02,S2A_OPER_GIP_VIEDIR_MPC__20151117T131050_V20150703T000000_21000101T000000_B8A,S2A_OPER_GIP_VIEDIR_MPC__20151117T131049_V20150703T000000_21000101T000000_B03,S2A_OPER_GIP_VIEDIR_MPC__20151117T131050_V20150703T000000_21000101T000000_B07,S2A_OPER_GIP_VIEDIR_MPC__20151117T131050_V20150703T000000_21000101T000000_B10,S2A_OPER_GIP_VIEDIR_MPC__20151117T131049_V20150703T000000_21000101T000000_B04,S2A_OPER_GIP_VIEDIR_MPC__20151117T131050_V20150703T000000_21000101T000000_B06,S2A_OPER_GIP_VIEDIR_MPC__20151117T131050_V20150703T000000_21000101T000000_B09,S2A_OPER_GIP_VIEDIR_MPC__20151117T131050_V20150703T000000_21000101T000000_B08,S2A_OPER_GIP_VIEDIR_MPC__20151117T131050_V20150703T000000_21000101T000000_B11,S2A_OPER_GIP_VIEDIR_MPC__20151117T131051_V20150703T000000_21000101T000000_B12,S2__OPER_GIP_L2ACSC_MPC__20220121T000003_V20220125T022000_21000101T000000_B00,S2__OPER_GIP_L2ACAC_MPC__20220121T000004_V20220125T022000_21000101T000000_B00,S2__OPER_GIP_PROBA2_MPC__20231208T000510_V20231213T070000_21000101T000000_B00&#x27;, &#x27;used CAMS file names&#x27;: &#x27;S2__OPER_AUX_CAMSFO_ADG__20240101T000000_V20240101T000000_20240103T010000&#x27;, &#x27;used DEM file name&#x27;: &#x27;CopernicusDEM30&#x27;, &#x27;used ECMWF file names&#x27;: &#x27;S2__OPER_AUX_ECMWFD_ADG__20240101T000000_V20240101T090000_20240103T030000&#x27;, &#x27;used GRI file name&#x27;: &#x27;S2A_OPER_GRI_MSIL1B_MPC__20160521T184422_S20151114T103133,S2A_OPER_GRI_MSIL1B_MPC__20160531T210152_S20160512T102954,S2A_OPER_GRI_MSIL1B_MPC__20160907T095549_S20160422T103554,S2A_OPER_GRI_MSIL1B_MPC__20161018T120000_S20150826T102633&#x27;, &#x27;used IERS file name&#x27;: &#x27;S2__OPER_AUX_UT1UTC_PDMC_20231230T000000_V20231230T000000_20241229T000000&#x27;}, &#x27;organisation&#x27;: &#x27;ESA&#x27;, &#x27;output&#x27;: &#x27;S2MSIL1C_etc&#x27;, &#x27;processor&#x27;: &#x27;Sentinel-2 IPF&#x27;, &#x27;type&#x27;: &#x27;Level-1C Product&#x27;, &#x27;version&#x27;: &#x27;???&#x27;}, {&#x27;inputs&#x27;: {&#x27;Level-1C Product&#x27;: &#x27;S2MSIL1C_etc&#x27;, &#x27;list of used processing parameters file names&#x27;: &#x27;S2A_OPER_GIP_INVLOC_MPC__20171206T000000_V20150703T000000_21000101T000000_B00,S2A_OPER_GIP_LREXTR_MPC__20150605T094736_V20150622T000000_21000101T000000_B00,S2A_OPER_GIP_ATMIMA_MPC__20150605T094744_V20150622T000000_21000101T000000_B00,S2A_OPER_GIP_ATMSAD_MPC__20160729T000005_V20150703T000000_21000101T000000_B00,S2A_OPER_GIP_BLINDP_MPC__20150605T094736_V20150622T000000_21000101T000000_B00,S2A_OPER_GIP_CLOINV_MPC__20210609T000005_V20210823T030000_21000101T000000_B00,S2A_OPER_GIP_CLOPAR_MPC__20220120T000001_V20220125T022000_21000101T000000_B00,S2A_OPER_GIP_CONVER_MPC__20150710T131444_V20150627T000000_21000101T000000_B00,S2A_OPER_GIP_DATATI_MPC__20151117T131048_V20150703T000000_21000101T000000_B00,S2A_OPER_GIP_DECOMP_MPC__20121031T075922_V19830101T000000_21000101T000000_B00,S2__OPER_GIP_EARMOD_MPC__20150605T094736_V20150622T000000_21000101T000000_B00,S2A_OPER_GIP_ECMWFP_MPC__20121031T075922_V19830101T000000_21000101T000000_B00,S2A_OPER_GIP_G2PARA_MPC__20231208T000027_V20231213T070000_21000101T000000_B00,S2A_OPER_GIP_G2PARE_MPC__20150605T094736_V20150622T000000_21000101T000000_B00,S2A_OPER_GIP_GEOPAR_MPC__20150605T094741_V20150622T000000_21000101T000000_B00,S2A_OPER_GIP_INTDET_MPC__20220120T000010_V20220125T022000_21000101T000000_B00,S2A_OPER_GIP_JP2KPA_MPC__20220120T000006_V20220125T022000_21000101T000000_B00,S2A_OPER_GIP_MASPAR_MPC__20220120T000009_V20220125T022000_21000101T000000_B00,S2A_OPER_GIP_OLQCPA_MPC__20220715T000042_V20220830T002500_21000101T000000_B00,S2A_OPER_GIP_PRDLOC_MPC__20180301T130000_V20180305T005000_21000101T000000_B00,S2A_OPER_GIP_PROBAS_MPC__20231208T000510_V20231213T070000_21000101T000000_B00,S2A_OPER_GIP_R2ABCA_MPC__20231108T144900_V20231109T000000_21000101T000000_B00,S2A_OPER_GIP_R2BINN_MPC__20150605T094803_V20150622T000000_21000101T000000_B00,S2A_OPER_GIP_R2CRCO_MPC__20151023T224715_V20150622T224715_21000101T000000_B00,S2A_OPER_GIP_R2DECT_MPC__20150605T094742_V20150622T000000_21000101T000000_B12,S2A_OPER_GIP_R2DECT_MPC__20150605T094742_V20150622T000000_21000101T000000_B10,S2A_OPER_GIP_R2DECT_MPC__20150605T094741_V20150622T000000_21000101T000000_B03,S2A_OPER_GIP_R2DECT_MPC__20150605T094741_V20150622T000000_21000101T000000_B04,S2A_OPER_GIP_R2DECT_MPC__20150605T094741_V20150622T000000_21000101T000000_B05,S2A_OPER_GIP_R2DECT_MPC__20150605T094741_V20150622T000000_21000101T000000_B08,S2A_OPER_GIP_R2DECT_MPC__20150605T094741_V20150622T000000_21000101T000000_B06,S2A_OPER_GIP_R2DECT_MPC__20150605T094742_V20150622T000000_21000101T000000_B09,S2A_OPER_GIP_R2DECT_MPC__20150605T094741_V20150622T000000_21000101T000000_B8A,S2A_OPER_GIP_R2DECT_MPC__20150605T094741_V20150622T000000_21000101T000000_B07,S2A_OPER_GIP_R2DECT_MPC__20150605T094741_V20150622T000000_21000101T000000_B01,S2A_OPER_GIP_R2DECT_MPC__20150605T094742_V20150622T000000_21000101T000000_B11,S2A_OPER_GIP_R2DECT_MPC__20150605T094741_V20150622T000000_21000101T000000_B02,S2A_OPER_GIP_R2DEFI_MPC__20150605T094741_V20150622T000000_21000101T000000_B12,S2A_OPER_GIP_R2DEFI_MPC__20150605T094741_V20150622T000000_21000101T000000_B09,S2A_OPER_GIP_R2DEFI_MPC__20150605T094741_V20150622T000000_21000101T000000_B04,S2A_OPER_GIP_R2DEFI_MPC__20150605T094741_V20150622T000000_21000101T000000_B11,S2A_OPER_GIP_R2DEFI_MPC__20150605T094741_V20150622T000000_21000101T000000_B02,S2A_OPER_GIP_R2DEFI_MPC__20150605T094741_V20150622T000000_21000101T000000_B08,S2A_OPER_GIP_R2DEFI_MPC__20150605T094741_V20150622T000000_21000101T000000_B10,S2A_OPER_GIP_R2DEFI_MPC__20150605T094741_V20150622T000000_21000101T000000_B07,S2A_OPER_GIP_R2DEFI_MPC__20150605T094741_V20150622T000000_21000101T000000_B8A,S2A_OPER_GIP_R2DEFI_MPC__20150605T094742_V20150622T000000_21000101T000000_B01,S2A_OPER_GIP_R2DEFI_MPC__20150605T094741_V20150622T000000_21000101T000000_B03,S2A_OPER_GIP_R2DEFI_MPC__20150605T094741_V20150622T000000_21000101T000000_B05,S2A_OPER_GIP_R2DEFI_MPC__20150605T094741_V20150622T000000_21000101T000000_B06,S2A_OPER_GIP_R2DENT_MPC__20150605T094742_V20150622T000000_21000101T000000_B04,S2A_OPER_GIP_R2DENT_MPC__20150605T094741_V20150622T000000_21000101T000000_B01,S2A_OPER_GIP_R2DENT_MPC__20150605T094742_V20150622T000000_21000101T000000_B08,S2A_OPER_GIP_R2DENT_MPC__20150605T094742_V20150622T000000_21000101T000000_B06,S2A_OPER_GIP_R2DENT_MPC__20150605T094742_V20150622T000000_21000101T000000_B03,S2A_OPER_GIP_R2DENT_MPC__20150605T094742_V20150622T000000_21000101T000000_B09,S2A_OPER_GIP_R2DENT_MPC__20150605T094742_V20150622T000000_21000101T000000_B11,S2A_OPER_GIP_R2DENT_MPC__20150605T094742_V20150622T000000_21000101T000000_B07,S2A_OPER_GIP_R2DENT_MPC__20150605T094742_V20150622T000000_21000101T000000_B10,S2A_OPER_GIP_R2DENT_MPC__20150605T094742_V20150622T000000_21000101T000000_B05,S2A_OPER_GIP_R2DENT_MPC__20150605T094742_V20150622T000000_21000101T000000_B02,S2A_OPER_GIP_R2DENT_MPC__20150605T094742_V20150622T000000_21000101T000000_B8A,S2A_OPER_GIP_R2DENT_MPC__20150605T094742_V20150622T000000_21000101T000000_B12,S2A_OPER_GIP_R2DEPI_MPC__20230424T160000_V20230426T000000_21000101T000000_B00,S2A_OPER_GIP_R2EOB2_MPC__20190412T145327_V20190429T000000_21000101T000000_B11,S2A_OPER_GIP_R2EOB2_MPC__20190412T145327_V20190429T000000_21000101T000000_B8A,S2A_OPER_GIP_R2EOB2_MPC__20190412T145327_V20190429T000000_21000101T000000_B09,S2A_OPER_GIP_R2EOB2_MPC__20190412T145327_V20190429T000000_21000101T000000_B06,S2A_OPER_GIP_R2EOB2_MPC__20190412T145327_V20190429T000000_21000101T000000_B04,S2A_OPER_GIP_R2EOB2_MPC__20190412T145327_V20190429T000000_21000101T000000_B12,S2A_OPER_GIP_R2EOB2_MPC__20190412T145327_V20190429T000000_21000101T000000_B03,S2A_OPER_GIP_R2EOB2_MPC__20190412T145327_V20190429T000000_21000101T000000_B01,S2A_OPER_GIP_R2EOB2_MPC__20190412T145327_V20190429T000000_21000101T000000_B02,S2A_OPER_GIP_R2EOB2_MPC__20190412T145327_V20190429T000000_21000101T000000_B10,S2A_OPER_GIP_R2EOB2_MPC__20190412T145327_V20190429T000000_21000101T000000_B07,S2A_OPER_GIP_R2EOB2_MPC__20190412T145327_V20190429T000000_21000101T000000_B08,S2A_OPER_GIP_R2EOB2_MPC__20190412T145327_V20190429T000000_21000101T000000_B05,S2A_OPER_GIP_R2EQOG_MPC__20231108T144900_V20231109T000000_21000101T000000_B03,S2A_OPER_GIP_R2EQOG_MPC__20231108T144900_V20231109T000000_21000101T000000_B8A,S2A_OPER_GIP_R2EQOG_MPC__20231108T144900_V20231109T000000_21000101T000000_B11,S2A_OPER_GIP_R2EQOG_MPC__20231108T144900_V20231109T000000_21000101T000000_B12,S2A_OPER_GIP_R2EQOG_MPC__20231108T144900_V20231109T000000_21000101T000000_B10,S2A_OPER_GIP_R2EQOG_MPC__20231108T144900_V20231109T000000_21000101T000000_B06,S2A_OPER_GIP_R2EQOG_MPC__20231108T144900_V20231109T000000_21000101T000000_B04,S2A_OPER_GIP_R2EQOG_MPC__20231108T144900_V20231109T000000_21000101T000000_B05,S2A_OPER_GIP_R2EQOG_MPC__20231108T144900_V20231109T000000_21000101T000000_B02,S2A_OPER_GIP_R2EQOG_MPC__20231108T144900_V20231109T000000_21000101T000000_B08,S2A_OPER_GIP_R2EQOG_MPC__20231108T144900_V20231109T000000_21000101T000000_B09,S2A_OPER_GIP_R2EQOG_MPC__20231108T144900_V20231109T000000_21000101T000000_B01,S2A_OPER_GIP_R2EQOG_MPC__20231108T144900_V20231109T000000_21000101T000000_B07,S2A_OPER_GIP_R2L2NC_MPC__20150605T094742_V20150622T000000_21000101T000000_B04,S2A_OPER_GIP_R2L2NC_MPC__20150605T094742_V20150622T000000_21000101T000000_B09,S2A_OPER_GIP_R2L2NC_MPC__20150605T094742_V20150622T000000_21000101T000000_B11,S2A_OPER_GIP_R2L2NC_MPC__20150605T094742_V20150622T000000_21000101T000000_B07,S2A_OPER_GIP_R2L2NC_MPC__20150605T094742_V20150622T000000_21000101T000000_B05,S2A_OPER_GIP_R2L2NC_MPC__20150605T094742_V20150622T000000_21000101T000000_B08,S2A_OPER_GIP_R2L2NC_MPC__20150605T094742_V20150622T000000_21000101T000000_B8A,S2A_OPER_GIP_R2L2NC_MPC__20150605T094742_V20150622T000000_21000101T000000_B01,S2A_OPER_GIP_R2L2NC_MPC__20150605T094742_V20150622T000000_21000101T000000_B10,S2A_OPER_GIP_R2L2NC_MPC__20150605T094742_V20150622T000000_21000101T000000_B06,S2A_OPER_GIP_R2L2NC_MPC__20150605T094742_V20150622T000000_21000101T000000_B12,S2A_OPER_GIP_R2L2NC_MPC__20150605T094742_V20150622T000000_21000101T000000_B02,S2A_OPER_GIP_R2L2NC_MPC__20150605T094741_V20150622T000000_21000101T000000_B03,S2A_OPER_GIP_R2NOMO_MPC__20150605T094803_V20150622T000000_21000101T000000_B00,S2A_OPER_GIP_R2PARA_MPC__20221206T000009_V20221206T073000_21000101T000000_B00,S2A_OPER_GIP_R2SWIR_MPC__20180406T000021_V20180604T100000_21000101T000000_B00,S2A_OPER_GIP_R2WAFI_MPC__20150605T094742_V20150622T000000_21000101T000000_B05,S2A_OPER_GIP_R2WAFI_MPC__20150605T094742_V20150622T000000_21000101T000000_B04,S2A_OPER_GIP_R2WAFI_MPC__20150605T094742_V20150622T000000_21000101T000000_B07,S2A_OPER_GIP_R2WAFI_MPC__20150605T094742_V20150622T000000_21000101T000000_B06,S2A_OPER_GIP_R2WAFI_MPC__20150605T094742_V20150622T000000_21000101T000000_B09,S2A_OPER_GIP_R2WAFI_MPC__20150605T094742_V20150622T000000_21000101T000000_B8A,S2A_OPER_GIP_R2WAFI_MPC__20150605T094742_V20150622T000000_21000101T000000_B08,S2A_OPER_GIP_R2WAFI_MPC__20150605T094742_V20150622T000000_21000101T000000_B10,S2A_OPER_GIP_R2WAFI_MPC__20150605T094742_V20150622T000000_21000101T000000_B12,S2A_OPER_GIP_R2WAFI_MPC__20150605T094742_V20150622T000000_21000101T000000_B11,S2A_OPER_GIP_R2WAFI_MPC__20150605T094742_V20150622T000000_21000101T000000_B01,S2A_OPER_GIP_R2WAFI_MPC__20150605T094742_V20150622T000000_21000101T000000_B03,S2A_OPER_GIP_R2WAFI_MPC__20150605T094742_V20150622T000000_21000101T000000_B02,S2A_OPER_GIP_RESPAR_MPC__20150605T094736_V20150622T000000_21000101T000000_B00,S2A_OPER_GIP_SPAMOD_MPC__20231122T110026_V20231123T010000_21000101T000000_B00,S2A_OPER_GIP_TILPAR_MPC__20151209T095117_V20150622T000000_21000101T000000_B00,S2A_OPER_GIP_VIEDIR_MPC__20151117T131050_V20150703T000000_21000101T000000_B05,S2A_OPER_GIP_VIEDIR_MPC__20151117T131048_V20150703T000000_21000101T000000_B01,S2A_OPER_GIP_VIEDIR_MPC__20151117T131049_V20150703T000000_21000101T000000_B02,S2A_OPER_GIP_VIEDIR_MPC__20151117T131050_V20150703T000000_21000101T000000_B8A,S2A_OPER_GIP_VIEDIR_MPC__20151117T131049_V20150703T000000_21000101T000000_B03,S2A_OPER_GIP_VIEDIR_MPC__20151117T131050_V20150703T000000_21000101T000000_B07,S2A_OPER_GIP_VIEDIR_MPC__20151117T131050_V20150703T000000_21000101T000000_B10,S2A_OPER_GIP_VIEDIR_MPC__20151117T131049_V20150703T000000_21000101T000000_B04,S2A_OPER_GIP_VIEDIR_MPC__20151117T131050_V20150703T000000_21000101T000000_B06,S2A_OPER_GIP_VIEDIR_MPC__20151117T131050_V20150703T000000_21000101T000000_B09,S2A_OPER_GIP_VIEDIR_MPC__20151117T131050_V20150703T000000_21000101T000000_B08,S2A_OPER_GIP_VIEDIR_MPC__20151117T131050_V20150703T000000_21000101T000000_B11,S2A_OPER_GIP_VIEDIR_MPC__20151117T131051_V20150703T000000_21000101T000000_B12,S2__OPER_GIP_L2ACSC_MPC__20220121T000003_V20220125T022000_21000101T000000_B00,S2__OPER_GIP_L2ACAC_MPC__20220121T000004_V20220125T022000_21000101T000000_B00,S2__OPER_GIP_PROBA2_MPC__20231208T000510_V20231213T070000_21000101T000000_B00&#x27;, &#x27;used CAMS file names&#x27;: &#x27;S2__OPER_AUX_CAMSFO_ADG__20240101T000000_V20240101T000000_20240103T010000&#x27;, &#x27;used DEM file name&#x27;: &#x27;CopernicusDEM30&#x27;, &#x27;used ECMWF file names&#x27;: &#x27;S2__OPER_AUX_ECMWFD_ADG__20240101T000000_V20240101T090000_20240103T030000&#x27;, &#x27;used ESA CCI land cover map file name&#x27;: &#x27;ESACCI-LC-L4-LCCS-Map-300m-P1Y-2015-v2.0.7.tif&#x27;, &#x27;used ESA CCI snow condition map folder name&#x27;: &#x27;ESACCI-LC-L4-Snow-Cond-500m-MONTHLY-2000-2012-v2.4&#x27;, &#x27;used ESA CCI water bodies map file name&#x27;: &#x27;ESACCI-LC-L4-WB-Map-150m-P13Y-2000-v4.0.tif&#x27;, &#x27;used GRI file name&#x27;: &#x27;S2A_OPER_GRI_MSIL1B_MPC__20160521T184422_S20151114T103133,S2A_OPER_GRI_MSIL1B_MPC__20160531T210152_S20160512T102954,S2A_OPER_GRI_MSIL1B_MPC__20160907T095549_S20160422T103554,S2A_OPER_GRI_MSIL1B_MPC__20161018T120000_S20150826T102633&#x27;, &#x27;used IERS file name&#x27;: &#x27;S2__OPER_AUX_UT1UTC_PDMC_20231230T000000_V20231230T000000_20241229T000000&#x27;, &#x27;used LibRadTran Look-Up Tables list&#x27;: &#x27;None&#x27;, &#x27;used snow climatology map file name&#x27;: &#x27;GlobalSnowMap.tiff&#x27;}, &#x27;organisation&#x27;: &#x27;ESA&#x27;, &#x27;output&#x27;: &#x27;S2MSIL2A_etc&#x27;, &#x27;processor&#x27;: &#x27;Sentinel-2 IPF&#x27;, &#x27;type&#x27;: &#x27;Level-2A Product&#x27;, &#x27;version&#x27;: &#x27;???&#x27;}], &#x27;horizontal_CRS_code&#x27;: &#x27;EPSG:32632&#x27;, &#x27;horizontal_CRS_name&#x27;: &#x27;WGS84 / UTM zone 32N&#x27;, &#x27;mean_sensing_time&#x27;: &#x27;2024-01-01T10:27:45.075597Z&#x27;, &#x27;mean_sun_azimuth_angle_in_deg_for_all_bands_all_detectors&#x27;: 166.26310268032, &#x27;mean_sun_zenith_angle_in_deg_for_all_bands_all_detectors&#x27;: 71.5320434839285, &#x27;mean_value_of_aerosol_optical_thickness&#x27;: 0.049492, &#x27;mean_value_of_total_water_vapour_content&#x27;: 0.465026, &#x27;meteo&#x27;: {&#x27;source&#x27;: &#x27;ECMWF&#x27;, &#x27;type&#x27;: &#x27;FORECAST&#x27;}, &#x27;multispectral_registration_assessment&#x27;: &#x27;N/A&#x27;, &#x27;onboard_compression_flag&#x27;: &#x27;true&#x27;, &#x27;onboard_equalization_flag&#x27;: &#x27;null&#x27;, &#x27;optical_crosstalk_correction_flag&#x27;: &#x27;null&#x27;, &#x27;ozone_source&#x27;: &#x27;AUX_ECMWFT&#x27;, &#x27;ozone_value&#x27;: 345.061736, &#x27;percentage_of_degraded_MSI_data&#x27;: 0.0, &#x27;planimetric_stability_assessment_from_AOCS&#x27;: &#x27;\\n          &#x27;, &#x27;product_quality_status&#x27;: &#x27;PASSED,PASSED,PASSED,PASSED,PASSED,PASSED&#x27;, &#x27;reflectance_correction_factor_from_the_Sun-Earth_distance_variation_computed_using_the_acquisition_date&#x27;: 1.03410745089651, &#x27;spectral_band_of_reference&#x27;: &#x27;N/A&#x27;}</dd><dt><span>stac_discovery :</span></dt><dd>{&#x27;assets&#x27;: {&#x27;analytic&#x27;: {&#x27;eo:bands&#x27;: [{&#x27;center_wavelength&#x27;: 0.4427, 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+       "       7890810, 7890750, 7890690, 7890630, 7890570, 7890510, 7890450, 7890390,\n",
+       "       7890330, 7890270],\n",
+       "      dtype=&#x27;int64&#x27;, name=&#x27;quality_mask_r60m_y&#x27;, length=1830))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-d679145e-1644-4436-9d1f-8d0526202252' class='xr-section-summary-in' type='checkbox'  checked><label for='section-d679145e-1644-4436-9d1f-8d0526202252' class='xr-section-summary' >Attributes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>other_metadata :</span></dt><dd>{&#x27;L0_ancillary_data_quality&#x27;: &#x27;null&#x27;, &#x27;L0_ephemeris_data_quality&#x27;: &#x27;null&#x27;, &#x27;NUC_table_ID&#x27;: 2, &#x27;SWIR_rearrangement_flag&#x27;: &#x27;null&#x27;, &#x27;UTM_zone_identification&#x27;: &#x27;S2B_OPER_MSI_L1C_TL_2BPS_20250415T180239_A042350_T25WEV_N05.11&#x27;, &#x27;absolute_location_assessment_from_AOCS&#x27;: &#x27;null&#x27;, &#x27;band_description&#x27;: {&#x27;01&#x27;: {&#x27;bandwidth&#x27;: &#x27;20.0&#x27;, 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0.833, &#x27;common_name&#x27;: &#x27;nir&#x27;, &#x27;full_width_half_max&#x27;: 0.105, &#x27;name&#x27;: &#x27;08&#x27;, &#x27;solar_illumination&#x27;: &#x27;1041.28&#x27;}, {&#x27;center_wavelength&#x27;: 0.864, &#x27;full_width_half_max&#x27;: 0.02, &#x27;name&#x27;: &#x27;8A&#x27;, &#x27;solar_illumination&#x27;: &#x27;953.93&#x27;}, {&#x27;center_wavelength&#x27;: 0.9432, &#x27;full_width_half_max&#x27;: 0.02, &#x27;name&#x27;: &#x27;09&#x27;, &#x27;solar_illumination&#x27;: &#x27;817.58&#x27;}, {&#x27;center_wavelength&#x27;: 1.3769, &#x27;common_name&#x27;: &#x27;cirrus&#x27;, &#x27;full_width_half_max&#x27;: 0.03, &#x27;name&#x27;: &#x27;10&#x27;, &#x27;solar_illumination&#x27;: &#x27;365.41&#x27;}, {&#x27;center_wavelength&#x27;: 1.6104, &#x27;common_name&#x27;: &#x27;swir16&#x27;, &#x27;full_width_half_max&#x27;: 0.09, &#x27;name&#x27;: &#x27;11&#x27;, &#x27;solar_illumination&#x27;: &#x27;247.08&#x27;}, {&#x27;center_wavelength&#x27;: 2.1856999999999998, &#x27;common_name&#x27;: &#x27;swir22&#x27;, &#x27;full_width_half_max&#x27;: 0.18, &#x27;name&#x27;: &#x27;12&#x27;, &#x27;solar_illumination&#x27;: &#x27;87.75&#x27;}], &#x27;eo:cloud_cover&#x27;: 0.0, &#x27;eo:snow_cover&#x27;: 99.9997013944877, &#x27;href&#x27;: &#x27;null&#x27;}}, &#x27;bbox&#x27;: [-29.803142031345267, 71.09047477839924, -33.00058298824502, 72.09958113156462], &#x27;geometry&#x27;: {&#x27;coordinates&#x27;: [[[-33.00058298824502, 72.09958113156462], [-29.803142031345267, 72.0734490476056], [-29.963758285895263, 71.09047477839924], [-33.0005536414404, 71.1151544804355], [-33.00058298824502, 72.09958113156462]]], &#x27;type&#x27;: &#x27;Polygon&#x27;}, &#x27;id&#x27;: &#x27;S2B_MSIL1C_20250415T142749_N0511_R139_T25WEV_20250415T180239.SAFE&#x27;, &#x27;links&#x27;: [{&#x27;href&#x27;: &#x27;./.zattrs.json&#x27;, &#x27;rel&#x27;: &#x27;self&#x27;, &#x27;type&#x27;: &#x27;application/json&#x27;}], &#x27;properties&#x27;: {&#x27;bands&#x27;: [{&#x27;center_wavelength&#x27;: 442.3, &#x27;common_name&#x27;: &#x27;coastal&#x27;, &#x27;full_width_half_max&#x27;: 0.02, &#x27;name&#x27;: &#x27;b01&#x27;, &#x27;solar_illumination&#x27;: 1874.3}, {&#x27;center_wavelength&#x27;: 492.3, &#x27;common_name&#x27;: &#x27;blue&#x27;, &#x27;full_width_half_max&#x27;: 0.065, &#x27;name&#x27;: &#x27;b02&#x27;, &#x27;solar_illumination&#x27;: 1959.75}, {&#x27;center_wavelength&#x27;: 559.0, &#x27;common_name&#x27;: &#x27;green&#x27;, &#x27;full_width_half_max&#x27;: 0.035, &#x27;name&#x27;: &#x27;b03&#x27;, &#x27;solar_illumination&#x27;: 1824.93}, {&#x27;center_wavelength&#x27;: 665.0, &#x27;common_name&#x27;: &#x27;red&#x27;, &#x27;full_width_half_max&#x27;: 0.03, &#x27;name&#x27;: &#x27;b04&#x27;, &#x27;solar_illumination&#x27;: 1512.79}, {&#x27;center_wavelength&#x27;: 703.8, &#x27;common_name&#x27;: &#x27;rededge&#x27;, &#x27;full_width_half_max&#x27;: 0.015, &#x27;name&#x27;: &#x27;b05&#x27;, &#x27;solar_illumination&#x27;: 1425.78}, {&#x27;center_wavelength&#x27;: 739.1, &#x27;common_name&#x27;: &#x27;rededge&#x27;, &#x27;full_width_half_max&#x27;: 0.015, &#x27;name&#x27;: &#x27;b06&#x27;, &#x27;solar_illumination&#x27;: 1291.13}, {&#x27;center_wavelength&#x27;: 779.7, &#x27;common_name&#x27;: &#x27;rededge&#x27;, &#x27;full_width_half_max&#x27;: 0.02, &#x27;name&#x27;: &#x27;b07&#x27;, &#x27;solar_illumination&#x27;: 1175.57}, {&#x27;center_wavelength&#x27;: 833.0, &#x27;common_name&#x27;: &#x27;nir&#x27;, &#x27;full_width_half_max&#x27;: 0.105, &#x27;name&#x27;: &#x27;b08&#x27;, &#x27;solar_illumination&#x27;: 1041.28}, {&#x27;center_wavelength&#x27;: 864.0, &#x27;common_name&#x27;: &#x27;nir08&#x27;, &#x27;full_width_half_max&#x27;: 0.02, &#x27;name&#x27;: &#x27;b8a&#x27;, &#x27;solar_illumination&#x27;: 953.93}, {&#x27;center_wavelength&#x27;: 943.2, &#x27;common_name&#x27;: &#x27;nir09&#x27;, &#x27;full_width_half_max&#x27;: 0.02, &#x27;name&#x27;: &#x27;b09&#x27;, &#x27;solar_illumination&#x27;: 817.58}, {&#x27;center_wavelength&#x27;: 1376.9, &#x27;common_name&#x27;: &#x27;cirrus&#x27;, &#x27;full_width_half_max&#x27;: 0.03, &#x27;name&#x27;: &#x27;b10&#x27;, &#x27;solar_illumination&#x27;: 365.41}, {&#x27;center_wavelength&#x27;: 1610.4, &#x27;common_name&#x27;: &#x27;swir16&#x27;, &#x27;full_width_half_max&#x27;: 0.09, &#x27;name&#x27;: &#x27;b11&#x27;, &#x27;solar_illumination&#x27;: 247.08}, {&#x27;center_wavelength&#x27;: 2185.7, &#x27;common_name&#x27;: &#x27;swir22&#x27;, &#x27;full_width_half_max&#x27;: 0.18, &#x27;name&#x27;: &#x27;b12&#x27;, &#x27;solar_illumination&#x27;: 87.75}], &#x27;constellation&#x27;: &#x27;sentinel-2&#x27;, &#x27;created&#x27;: &#x27;2025-04-15T18:02:39+00:00&#x27;, &#x27;datetime&#x27;: None, &#x27;end_datetime&#x27;: &#x27;2025-04-15T14:27:49.024000+00:00&#x27;, &#x27;eo:cloud_cover&#x27;: 0.0, &#x27;eo:snow_cover&#x27;: 99.9997013944877, &#x27;eopf:baseline&#x27;: &#x27;05.11&#x27;, &#x27;eopf:data_take_id&#x27;: &#x27;GS2B_20250415T142749_042350_N05.11&#x27;, &#x27;eopf:image_size&#x27;: [{&#x27;columns&#x27;: 10980, &#x27;name&#x27;: &#x27;bands 02, 03, 04, 08&#x27;, &#x27;rows&#x27;: 10980, &#x27;start_offset&#x27;: 8000040.0, &#x27;track_offset&#x27;: 499980.0}, {&#x27;columns&#x27;: 5490, &#x27;name&#x27;: &#x27;bands 05, 06, 07, 8A, 11, 12&#x27;, &#x27;rows&#x27;: 5490, &#x27;start_offset&#x27;: 8000040.0, &#x27;track_offset&#x27;: 499980.0}, {&#x27;columns&#x27;: 1830, &#x27;name&#x27;: &#x27;bands 01, 09, 10&#x27;, &#x27;rows&#x27;: 1830, &#x27;start_offset&#x27;: 8000040.0, &#x27;track_offset&#x27;: 499980.0}], &#x27;eopf:instrument_mode&#x27;: &#x27;INS-NOBS&#x27;, &#x27;eopf:resolutions&#x27;: {&#x27;bands 01, 09, 10&#x27;: &#x27;60&#x27;, &#x27;bands 02, 03, 04, 08&#x27;: &#x27;10&#x27;, &#x27;bands 05, 06, 07, 8A, 11, 12&#x27;: &#x27;20&#x27;}, &#x27;instrument&#x27;: &#x27;msi&#x27;, &#x27;mission&#x27;: &#x27;copernicus&#x27;, &#x27;platform&#x27;: &#x27;sentinel-2b&#x27;, &#x27;processing:expression&#x27;: &#x27;systematic&#x27;, &#x27;processing:facility&#x27;: &#x27;ESA&#x27;, &#x27;processing:level&#x27;: &#x27;L1C&#x27;, &#x27;processing:lineage&#x27;: &#x27;IPF L1C processor&#x27;, &#x27;processing:software&#x27;: {&#x27;Sentinel-2 IPF&#x27;: &#x27; &#x27;}, &#x27;processing:version&#x27;: &#x27;&#x27;, &#x27;product:timeline&#x27;: &#x27;NRT&#x27;, &#x27;product:timeliness&#x27;: &#x27;PT3H&#x27;, &#x27;product:timeliness_category&#x27;: &#x27;NRT&#x27;, &#x27;product:type&#x27;: &#x27;S02MSIL1C&#x27;, &#x27;proj:bbox&#x27;: [499980.0, 7890240.0, 609780.0, 8000040.0], &#x27;proj:epsg&#x27;: 32625, &#x27;providers&#x27;: [{&#x27;name&#x27;: &#x27;L1C Processor&#x27;, &#x27;roles&#x27;: [&#x27;processor&#x27;]}, {&#x27;name&#x27;: &#x27;ESA&#x27;, &#x27;roles&#x27;: [&#x27;producer&#x27;]}], &#x27;sat:absolute_orbit&#x27;: 42350, &#x27;sat:orbit_state&#x27;: &#x27;descending&#x27;, &#x27;sat:platform_international_designator&#x27;: &#x27;2015-028A&#x27;, &#x27;sat:relative_orbit&#x27;: 139, &#x27;sci:doi&#x27;: &#x27;10.5270/S2_-742ikth&#x27;, &#x27;start_datetime&#x27;: &#x27;2025-04-15T14:27:49.024000+00:00&#x27;}, &#x27;stac_extensions&#x27;: [&#x27;https://stac-extensions.github.io/eopf/v1.0.0/schema.json&#x27;, &#x27;https://stac-extensions.github.io/eo/v1.1.0/schema.json&#x27;, &#x27;https://stac-extensions.github.io/sat/v1.0.0/schema.json&#x27;, &#x27;https://stac-extensions.github.io/view/v1.0.0/schema.json&#x27;, &#x27;https://stac-extensions.github.io/scientific/v1.0.0/schema.json&#x27;, &#x27;https://stac-extensions.github.io/processing/v1.2.0/schema.json&#x27;, &#x27;https://stac-extensions.github.io/product/v0.1.0/schema.json&#x27;], &#x27;stac_version&#x27;: &#x27;1.0.0&#x27;, &#x27;type&#x27;: &#x27;Feature&#x27;}</dd></dl></div></li></ul></div></div>"
       ],
       "text/plain": [
-       "<xarray.Dataset> Size: 9GB\n",
+       "<xarray.Dataset> Size: 7GB\n",
        "Dimensions:                                            (\n",
        "                                                        conditions_geometry_angle: 2,\n",
        "                                                        conditions_geometry_band: 13,\n",
@@ -21505,13 +20486,13 @@
        "                                                        conditions_geometry_x: 23,\n",
        "                                                        conditions_geometry_detector: 7,\n",
        "                                                        ...\n",
+       "                                                        quality_mask_r10m_y: 10980,\n",
+       "                                                        quality_mask_r10m_x: 10980,\n",
        "                                                        quality_mask_r20m_y: 5490,\n",
        "                                                        quality_mask_r20m_x: 5490,\n",
        "                                                        quality_mask_r60m_y: 1830,\n",
-       "                                                        quality_mask_r60m_x: 1830,\n",
-       "                                                        quality_probability_y: 5490,\n",
-       "                                                        quality_probability_x: 5490)\n",
-       "Coordinates: (12/63)\n",
+       "                                                        quality_mask_r60m_x: 1830)\n",
+       "Coordinates: (12/44)\n",
        "  * conditions_geometry_angle                          (conditions_geometry_angle) <U7 56B ...\n",
        "  * conditions_geometry_band                           (conditions_geometry_band) <U3 156B ...\n",
        "  * conditions_geometry_detector                       (conditions_geometry_detector) int64 56B ...\n",
@@ -21519,44 +20500,45 @@
        "  * conditions_geometry_y                              (conditions_geometry_y) int64 184B ...\n",
        "  * conditions_mask_detector_footprint_r10m_x          (conditions_mask_detector_footprint_r10m_x) int64 88kB ...\n",
        "    ...                                                 ...\n",
+       "  * quality_mask_r10m_x                                (quality_mask_r10m_x) int64 88kB ...\n",
+       "  * quality_mask_r10m_y                                (quality_mask_r10m_y) int64 88kB ...\n",
+       "  * quality_mask_r20m_x                                (quality_mask_r20m_x) int64 44kB ...\n",
        "  * quality_mask_r20m_y                                (quality_mask_r20m_y) int64 44kB ...\n",
        "  * quality_mask_r60m_x                                (quality_mask_r60m_x) int64 15kB ...\n",
        "  * quality_mask_r60m_y                                (quality_mask_r60m_y) int64 15kB ...\n",
-       "    quality_probability_band                           int64 8B ...\n",
-       "  * quality_probability_x                              (quality_probability_x) int64 44kB ...\n",
-       "  * quality_probability_y                              (quality_probability_y) int64 44kB ...\n",
-       "Data variables: (12/86)\n",
+       "Data variables: (12/62)\n",
        "    conditions_geometry_mean_sun_angles                (conditions_geometry_angle) float64 16B dask.array<chunksize=(2,), meta=np.ndarray>\n",
        "    conditions_geometry_mean_viewing_incidence_angles  (conditions_geometry_band, conditions_geometry_angle) float64 208B dask.array<chunksize=(13, 2), meta=np.ndarray>\n",
        "    conditions_geometry_sun_angles                     (conditions_geometry_angle, conditions_geometry_y, conditions_geometry_x) float64 8kB dask.array<chunksize=(2, 23, 23), meta=np.ndarray>\n",
-       "    conditions_geometry_viewing_incidence_angles       (conditions_geometry_band, conditions_geometry_detector, conditions_geometry_angle, conditions_geometry_y, conditions_geometry_x) float64 770kB dask.array<chunksize=(13, 7, 2, 23, 23), meta=np.ndarray>\n",
-       "    conditions_mask_detector_footprint_r10m_b02        (conditions_mask_detector_footprint_r10m_y, conditions_mask_detector_footprint_r10m_x) uint8 121MB dask.array<chunksize=(10980, 10980), meta=np.ndarray>\n",
-       "    conditions_mask_detector_footprint_r10m_b03        (conditions_mask_detector_footprint_r10m_y, conditions_mask_detector_footprint_r10m_x) uint8 121MB dask.array<chunksize=(10980, 10980), meta=np.ndarray>\n",
+       "    conditions_geometry_viewing_incidence_angles       (conditions_geometry_band, conditions_geometry_detector, conditions_geometry_angle, conditions_geometry_y, conditions_geometry_x) float64 770kB dask.array<chunksize=(7, 4, 2, 23, 23), meta=np.ndarray>\n",
+       "    conditions_mask_detector_footprint_r10m_b02        (conditions_mask_detector_footprint_r10m_y, conditions_mask_detector_footprint_r10m_x) uint8 121MB dask.array<chunksize=(1830, 1830), meta=np.ndarray>\n",
+       "    conditions_mask_detector_footprint_r10m_b03        (conditions_mask_detector_footprint_r10m_y, conditions_mask_detector_footprint_r10m_x) uint8 121MB dask.array<chunksize=(1830, 1830), meta=np.ndarray>\n",
        "    ...                                                 ...\n",
-       "    quality_mask_r20m_b8a                              (quality_mask_r20m_y, quality_mask_r20m_x) uint8 30MB dask.array<chunksize=(5490, 5490), meta=np.ndarray>\n",
-       "    quality_mask_r60m_b01                              (quality_mask_r60m_y, quality_mask_r60m_x) uint8 3MB dask.array<chunksize=(1830, 1830), meta=np.ndarray>\n",
-       "    quality_mask_r60m_b09                              (quality_mask_r60m_y, quality_mask_r60m_x) uint8 3MB dask.array<chunksize=(1830, 1830), meta=np.ndarray>\n",
-       "    quality_mask_r60m_b10                              (quality_mask_r60m_y, quality_mask_r60m_x) uint8 3MB dask.array<chunksize=(1830, 1830), meta=np.ndarray>\n",
-       "    quality_probability_cld                            (quality_probability_y, quality_probability_x) uint8 30MB dask.array<chunksize=(5490, 5490), meta=np.ndarray>\n",
-       "    quality_probability_snw                            (quality_probability_y, quality_probability_x) uint8 30MB dask.array<chunksize=(5490, 5490), meta=np.ndarray>\n",
+       "    quality_mask_r20m_b11                              (quality_mask_r20m_y, quality_mask_r20m_x) uint8 30MB dask.array<chunksize=(915, 915), meta=np.ndarray>\n",
+       "    quality_mask_r20m_b12                              (quality_mask_r20m_y, quality_mask_r20m_x) uint8 30MB dask.array<chunksize=(915, 915), meta=np.ndarray>\n",
+       "    quality_mask_r20m_b8a                              (quality_mask_r20m_y, quality_mask_r20m_x) uint8 30MB dask.array<chunksize=(915, 915), meta=np.ndarray>\n",
+       "    quality_mask_r60m_b01                              (quality_mask_r60m_y, quality_mask_r60m_x) uint8 3MB dask.array<chunksize=(305, 305), meta=np.ndarray>\n",
+       "    quality_mask_r60m_b09                              (quality_mask_r60m_y, quality_mask_r60m_x) uint8 3MB dask.array<chunksize=(305, 305), meta=np.ndarray>\n",
+       "    quality_mask_r60m_b10                              (quality_mask_r60m_y, quality_mask_r60m_x) uint8 3MB dask.array<chunksize=(305, 305), meta=np.ndarray>\n",
        "Attributes:\n",
-       "    other_metadata:  {'AOT_retrieval_model': 'CAMS', 'L0_ancillary_data_quali...\n",
-       "    stac_discovery:  {'assets': {'analytic': {'eo:bands': [{'center_wavelengt..."
+       "    other_metadata:   {'L0_ancillary_data_quality': 'null', 'L0_ephemeris_dat...\n",
+       "    other_metadata4:  {'L0_ancillary_data_quality': 'null', 'L0_ephemeris_dat...\n",
+       "    stac_discovery:   {'assets': {'analytic': {'eo:bands': [{'center_waveleng..."
       ]
      },
-     "execution_count": 25,
+     "execution_count": 9,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "ds = xr.open_dataset(path, engine=\"eopf-zarr\", op_mode=\"native\", chunks={})\n",
+    "ds = xr.open_dataset(url, engine=\"eopf-zarr\", op_mode=\"native\", chunks={})\n",
     "ds"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 26,
+   "execution_count": 10,
    "id": "1d67f3c7-516e-4125-a101-0ef98dcf7e1b",
    "metadata": {},
    "outputs": [
@@ -21935,8 +20917,8 @@
        "}\n",
        "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;measurements_r10m_b02&#x27; (measurements_r10m_y: 10980,\n",
        "                                           measurements_r10m_x: 10980)&gt; Size: 964MB\n",
-       "dask.array&lt;open_dataset-measurements_r10m_b02, shape=(10980, 10980), dtype=float64, chunksize=(10980, 10980), chunktype=numpy.ndarray&gt;\n",
-       "Coordinates: (12/15)\n",
+       "dask.array&lt;open_dataset-measurements_r10m_b02, shape=(10980, 10980), dtype=float64, chunksize=(1830, 1830), chunktype=numpy.ndarray&gt;\n",
+       "Coordinates: (12/14)\n",
        "    conditions_meteorology_cams_isobaricInhPa   float64 8B ...\n",
        "    conditions_meteorology_cams_number          int64 8B ...\n",
        "    conditions_meteorology_cams_step            int64 8B ...\n",
@@ -21944,25 +20926,25 @@
        "    conditions_meteorology_cams_time            datetime64[ns] 8B ...\n",
        "    conditions_meteorology_cams_valid_time      datetime64[ns] 8B ...\n",
        "    ...                                          ...\n",
+       "    conditions_meteorology_ecmwf_step           int64 8B ...\n",
        "    conditions_meteorology_ecmwf_surface        float64 8B ...\n",
        "    conditions_meteorology_ecmwf_time           datetime64[ns] 8B ...\n",
        "    conditions_meteorology_ecmwf_valid_time     datetime64[ns] 8B ...\n",
        "  * measurements_r10m_x                         (measurements_r10m_x) int64 88kB ...\n",
        "  * measurements_r10m_y                         (measurements_r10m_y) int64 88kB ...\n",
-       "    quality_probability_band                    int64 8B ...\n",
        "Attributes:\n",
        "    _eopf_attrs:     {&#x27;add_offset&#x27;: -0.1, &#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensi...\n",
        "    dtype:           &lt;u2\n",
        "    fill_value:      0\n",
-       "    long_name:       BOA reflectance from MSI acquisition at spectral band b0...\n",
-       "    proj:bbox:       [499980.0, 5190240.0, 609780.0, 5300040.0]\n",
-       "    proj:epsg:       32632\n",
+       "    long_name:       TOA reflectance from MSI acquisition at spectral band b0...\n",
+       "    proj:bbox:       [499980.0, 7890240.0, 609780.0, 8000040.0]\n",
+       "    proj:epsg:       32625\n",
        "    proj:shape:      [10980, 10980]\n",
-       "    proj:transform:  [10.0, 0.0, 499980.0, 0.0, -10.0, 5300040.0, 0.0, 0.0, 1.0]\n",
-       "    proj:wkt2:       PROJCS[&quot;WGS 84 / UTM zone 32N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WG...\n",
+       "    proj:transform:  [10.0, 0.0, 499980.0, 0.0, -10.0, 8000040.0, 0.0, 0.0, 1.0]\n",
+       "    proj:wkt2:       PROJCS[&quot;WGS 84 / UTM zone 25N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WG...\n",
        "    units:           digital_counts\n",
        "    valid_max:       65535\n",
-       "    valid_min:       1</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'measurements_r10m_b02'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>measurements_r10m_y</span>: 10980</li><li><span class='xr-has-index'>measurements_r10m_x</span>: 10980</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-81ea37f3-d0f1-47fd-b66c-66b1d1efa39d' class='xr-array-in' type='checkbox' checked><label for='section-81ea37f3-d0f1-47fd-b66c-66b1d1efa39d' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>dask.array&lt;chunksize=(10980, 10980), meta=np.ndarray&gt;</span></div><div class='xr-array-data'><table>\n",
+       "    valid_min:       1</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'measurements_r10m_b02'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>measurements_r10m_y</span>: 10980</li><li><span class='xr-has-index'>measurements_r10m_x</span>: 10980</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-b4331146-6122-428a-9f92-38a87e355c8f' class='xr-array-in' type='checkbox' checked><label for='section-b4331146-6122-428a-9f92-38a87e355c8f' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>dask.array&lt;chunksize=(1830, 1830), meta=np.ndarray&gt;</span></div><div class='xr-array-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -21978,17 +20960,17 @@
        "                    <tr>\n",
        "                        <th> Bytes </th>\n",
        "                        <td> 919.80 MiB </td>\n",
-       "                        <td> 919.80 MiB </td>\n",
+       "                        <td> 25.55 MiB </td>\n",
        "                    </tr>\n",
        "                    \n",
        "                    <tr>\n",
        "                        <th> Shape </th>\n",
        "                        <td> (10980, 10980) </td>\n",
-       "                        <td> (10980, 10980) </td>\n",
+       "                        <td> (1830, 1830) </td>\n",
        "                    </tr>\n",
        "                    <tr>\n",
        "                        <th> Dask graph </th>\n",
-       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
+       "                        <td colspan=\"2\"> 36 chunks in 2 graph layers </td>\n",
        "                    </tr>\n",
        "                    <tr>\n",
        "                        <th> Data type </th>\n",
@@ -22002,10 +20984,20 @@
        "\n",
        "  <!-- Horizontal lines -->\n",
        "  <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n",
+       "  <line x1=\"0\" y1=\"20\" x2=\"120\" y2=\"20\" />\n",
+       "  <line x1=\"0\" y1=\"40\" x2=\"120\" y2=\"40\" />\n",
+       "  <line x1=\"0\" y1=\"60\" x2=\"120\" y2=\"60\" />\n",
+       "  <line x1=\"0\" y1=\"80\" x2=\"120\" y2=\"80\" />\n",
+       "  <line x1=\"0\" y1=\"100\" x2=\"120\" y2=\"100\" />\n",
        "  <line x1=\"0\" y1=\"120\" x2=\"120\" y2=\"120\" style=\"stroke-width:2\" />\n",
        "\n",
        "  <!-- Vertical lines -->\n",
        "  <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"120\" style=\"stroke-width:2\" />\n",
+       "  <line x1=\"20\" y1=\"0\" x2=\"20\" y2=\"120\" />\n",
+       "  <line x1=\"40\" y1=\"0\" x2=\"40\" y2=\"120\" />\n",
+       "  <line x1=\"60\" y1=\"0\" x2=\"60\" y2=\"120\" />\n",
+       "  <line x1=\"80\" y1=\"0\" x2=\"80\" y2=\"120\" />\n",
+       "  <line x1=\"100\" y1=\"0\" x2=\"100\" y2=\"120\" />\n",
        "  <line x1=\"120\" y1=\"0\" x2=\"120\" y2=\"120\" style=\"stroke-width:2\" />\n",
        "\n",
        "  <!-- Colored Rectangle -->\n",
@@ -22017,24 +21009,24 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></div></li><li class='xr-section-item'><input id='section-c76a8b50-7c68-4e4e-a510-25ea899fea1f' class='xr-section-summary-in' type='checkbox'  checked><label for='section-c76a8b50-7c68-4e4e-a510-25ea899fea1f' class='xr-section-summary' >Coordinates: <span>(15)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>conditions_meteorology_cams_isobaricInhPa</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-6e5adf1a-8d76-497f-91e4-1bc6681654f8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6e5adf1a-8d76-497f-91e4-1bc6681654f8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8895dde8-d385-49f7-8452-7649be5ceaf8' class='xr-var-data-in' type='checkbox'><label for='data-8895dde8-d385-49f7-8452-7649be5ceaf8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>pressure</dd><dt><span>positive :</span></dt><dd>down</dd><dt><span>standard_name :</span></dt><dd>air_pressure</dd><dt><span>stored_direction :</span></dt><dd>decreasing</dd><dt><span>units :</span></dt><dd>hPa</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>conditions_meteorology_cams_number</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-9cb49a05-bc33-4492-ad0c-a7778491b0f9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9cb49a05-bc33-4492-ad0c-a7778491b0f9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c02952ec-d438-449c-8b8b-586157e83f93' class='xr-var-data-in' type='checkbox'><label for='data-c02952ec-d438-449c-8b8b-586157e83f93' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>ensemble member numerical id</dd><dt><span>standard_name :</span></dt><dd>realization</dd><dt><span>units :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=int64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>conditions_meteorology_cams_step</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-739048a4-dde1-443a-b035-2a2dcafd606c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-739048a4-dde1-443a-b035-2a2dcafd606c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1c1d0267-dac2-4751-b19f-cbfab0bf3b03' class='xr-var-data-in' type='checkbox'><label for='data-1c1d0267-dac2-4751-b19f-cbfab0bf3b03' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>time since forecast_reference_time</dd><dt><span>standard_name :</span></dt><dd>forecast_period</dd><dt><span>units :</span></dt><dd>minutes</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=int64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>conditions_meteorology_cams_surface</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-41b4cf57-8d31-4102-8c3f-d25111e0e996' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-41b4cf57-8d31-4102-8c3f-d25111e0e996' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-de79aefc-afac-4e49-89d6-9ec4067cc52e' class='xr-var-data-in' type='checkbox'><label for='data-de79aefc-afac-4e49-89d6-9ec4067cc52e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>original GRIB coordinate for key: level(surface)</dd><dt><span>units :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>conditions_meteorology_cams_time</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-6d7617f1-ed50-410d-a550-cb0c180b9424' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6d7617f1-ed50-410d-a550-cb0c180b9424' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c102a297-d378-41ce-b16b-73e125b349ed' class='xr-var-data-in' type='checkbox'><label for='data-c102a297-d378-41ce-b16b-73e125b349ed' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;_eopf_decode_datetime64&#x27;: &#x27;datetime64[ns]&#x27;}</dd><dt><span>long_name :</span></dt><dd>initial time of forecast</dd><dt><span>standard_name :</span></dt><dd>forecast_reference_time</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=datetime64[ns]]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>conditions_meteorology_cams_valid_time</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-b27cbb68-04ff-44ab-938e-328f0d224cb5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b27cbb68-04ff-44ab-938e-328f0d224cb5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-be1b3be4-f10e-4284-93ca-b152f5621c2b' class='xr-var-data-in' type='checkbox'><label for='data-be1b3be4-f10e-4284-93ca-b152f5621c2b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;_eopf_decode_datetime64&#x27;: &#x27;datetime64[ns]&#x27;}</dd><dt><span>long_name :</span></dt><dd>time</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=datetime64[ns]]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>conditions_meteorology_ecmwf_isobaricInhPa</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-c2c473a9-b70e-43f2-90d2-8fd68ce3295b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c2c473a9-b70e-43f2-90d2-8fd68ce3295b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f7de43ca-0012-4400-a196-6ccdec05cf4c' class='xr-var-data-in' type='checkbox'><label for='data-f7de43ca-0012-4400-a196-6ccdec05cf4c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>pressure</dd><dt><span>positive :</span></dt><dd>down</dd><dt><span>standard_name :</span></dt><dd>air_pressure</dd><dt><span>stored_direction :</span></dt><dd>decreasing</dd><dt><span>units :</span></dt><dd>hPa</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>conditions_meteorology_ecmwf_number</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-10d85acd-ae37-46c6-acba-4c847b7fac58' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-10d85acd-ae37-46c6-acba-4c847b7fac58' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-15d33dd6-2ebf-4608-b629-d49915c7a004' class='xr-var-data-in' type='checkbox'><label for='data-15d33dd6-2ebf-4608-b629-d49915c7a004' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>ensemble member numerical id</dd><dt><span>standard_name :</span></dt><dd>realization</dd><dt><span>units :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=int64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>conditions_meteorology_ecmwf_step</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-3fdb5204-ac27-4b55-b96f-1d1e7782c91e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3fdb5204-ac27-4b55-b96f-1d1e7782c91e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ba6f5744-707a-455b-a3ff-9b4851acd629' class='xr-var-data-in' type='checkbox'><label for='data-ba6f5744-707a-455b-a3ff-9b4851acd629' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>time since forecast_reference_time</dd><dt><span>standard_name :</span></dt><dd>forecast_period</dd><dt><span>units :</span></dt><dd>minutes</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=int64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>conditions_meteorology_ecmwf_surface</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-49298fcf-5c24-4c77-9e49-b7abe438f4cc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-49298fcf-5c24-4c77-9e49-b7abe438f4cc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-26fa4ff1-2c7d-456e-8895-144e7935b849' class='xr-var-data-in' type='checkbox'><label for='data-26fa4ff1-2c7d-456e-8895-144e7935b849' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>original GRIB coordinate for key: level(surface)</dd><dt><span>units :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>conditions_meteorology_ecmwf_time</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-8de21c04-d1ef-446f-a4fb-2f229c504b33' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8de21c04-d1ef-446f-a4fb-2f229c504b33' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ebc13435-e7f1-4d74-bb19-ef3e58a48831' class='xr-var-data-in' type='checkbox'><label for='data-ebc13435-e7f1-4d74-bb19-ef3e58a48831' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;_eopf_decode_datetime64&#x27;: &#x27;datetime64[ns]&#x27;}</dd><dt><span>long_name :</span></dt><dd>initial time of forecast</dd><dt><span>standard_name :</span></dt><dd>forecast_reference_time</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=datetime64[ns]]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>conditions_meteorology_ecmwf_valid_time</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-8df9ba7c-4217-4f0b-b4fd-aef9c07d3a57' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8df9ba7c-4217-4f0b-b4fd-aef9c07d3a57' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8f1662ca-bd18-4379-a294-0fa21a462703' class='xr-var-data-in' type='checkbox'><label for='data-8f1662ca-bd18-4379-a294-0fa21a462703' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;_eopf_decode_datetime64&#x27;: &#x27;datetime64[ns]&#x27;}</dd><dt><span>long_name :</span></dt><dd>time</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=datetime64[ns]]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>measurements_r10m_x</span></div><div class='xr-var-dims'>(measurements_r10m_x)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>499985 499995 ... 609765 609775</div><input id='attrs-a320e594-c6e2-45f2-b373-3107686fcb22' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-a320e594-c6e2-45f2-b373-3107686fcb22' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2fce582f-8556-4677-9e95-b4861965b3fe' class='xr-var-data-in' type='checkbox'><label for='data-2fce582f-8556-4677-9e95-b4861965b3fe' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([499985, 499995, 500005, ..., 609755, 609765, 609775], shape=(10980,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>measurements_r10m_y</span></div><div class='xr-var-dims'>(measurements_r10m_y)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>5300035 5300025 ... 5190255 5190245</div><input id='attrs-faf22cb6-ace3-4b0e-9e52-7acabe296385' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-faf22cb6-ace3-4b0e-9e52-7acabe296385' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e7c364ee-1060-41db-9bc8-3232c73d244a' class='xr-var-data-in' type='checkbox'><label for='data-e7c364ee-1060-41db-9bc8-3232c73d244a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([5300035, 5300025, 5300015, ..., 5190265, 5190255, 5190245],\n",
-       "      shape=(10980,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>quality_probability_band</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-8362ccdc-df1f-4184-ab56-578e66d08f73' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-8362ccdc-df1f-4184-ab56-578e66d08f73' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-598bc4b0-d5b3-4855-a354-9d0f51996bee' class='xr-var-data-in' type='checkbox'><label for='data-598bc4b0-d5b3-4855-a354-9d0f51996bee' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=int64]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-d5d2dae8-8f48-4464-85aa-d7820fb4043f' class='xr-section-summary-in' type='checkbox'  ><label for='section-d5d2dae8-8f48-4464-85aa-d7820fb4043f' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>measurements_r10m_x</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-c72eafa0-03c6-4b2b-afc2-1d4d6f86939b' class='xr-index-data-in' type='checkbox'/><label for='index-c72eafa0-03c6-4b2b-afc2-1d4d6f86939b' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([499985, 499995, 500005, 500015, 500025, 500035, 500045, 500055, 500065,\n",
+       "</table></div></div></li><li class='xr-section-item'><input id='section-49b237bf-d128-447a-8396-154693f64bc0' class='xr-section-summary-in' type='checkbox'  checked><label for='section-49b237bf-d128-447a-8396-154693f64bc0' class='xr-section-summary' >Coordinates: <span>(14)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>conditions_meteorology_cams_isobaricInhPa</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-a9bee1a4-ac9c-46a1-af9a-8e71e34742f7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a9bee1a4-ac9c-46a1-af9a-8e71e34742f7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c4c83041-a81f-40f6-8643-fdb02b5c6972' class='xr-var-data-in' type='checkbox'><label for='data-c4c83041-a81f-40f6-8643-fdb02b5c6972' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>pressure</dd><dt><span>positive :</span></dt><dd>down</dd><dt><span>standard_name :</span></dt><dd>air_pressure</dd><dt><span>stored_direction :</span></dt><dd>decreasing</dd><dt><span>units :</span></dt><dd>hPa</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>conditions_meteorology_cams_number</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-d08c0809-c71a-4f2c-91a4-76ff25cd8203' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d08c0809-c71a-4f2c-91a4-76ff25cd8203' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e614e794-f89c-49ab-9787-3d9a169d2f54' class='xr-var-data-in' type='checkbox'><label for='data-e614e794-f89c-49ab-9787-3d9a169d2f54' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>ensemble member numerical id</dd><dt><span>standard_name :</span></dt><dd>realization</dd><dt><span>units :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=int64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>conditions_meteorology_cams_step</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-126ea299-0306-48a8-8b26-09bf38465a7b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-126ea299-0306-48a8-8b26-09bf38465a7b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2810edac-ddcc-4720-911e-f3c90ac16a7e' class='xr-var-data-in' type='checkbox'><label for='data-2810edac-ddcc-4720-911e-f3c90ac16a7e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>time since forecast_reference_time</dd><dt><span>standard_name :</span></dt><dd>forecast_period</dd><dt><span>units :</span></dt><dd>nanoseconds</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=int64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>conditions_meteorology_cams_surface</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-88235095-26ed-4ba1-8b32-f989dce08214' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-88235095-26ed-4ba1-8b32-f989dce08214' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f7b36ac1-031d-46ce-a0ca-a292018cfdd2' class='xr-var-data-in' type='checkbox'><label for='data-f7b36ac1-031d-46ce-a0ca-a292018cfdd2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>original GRIB coordinate for key: level(surface)</dd><dt><span>units :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>conditions_meteorology_cams_time</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-880ca9ad-119b-4222-8f72-aba7db9ef726' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-880ca9ad-119b-4222-8f72-aba7db9ef726' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-799901c7-63f4-4e3d-834a-729f69994730' class='xr-var-data-in' type='checkbox'><label for='data-799901c7-63f4-4e3d-834a-729f69994730' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>initial time of forecast</dd><dt><span>standard_name :</span></dt><dd>forecast_reference_time</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=datetime64[ns]]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>conditions_meteorology_cams_valid_time</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-c338a646-5062-4dec-aedb-0158533b0aa5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c338a646-5062-4dec-aedb-0158533b0aa5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-abdc779b-20bb-45a9-8641-758106685973' class='xr-var-data-in' type='checkbox'><label for='data-abdc779b-20bb-45a9-8641-758106685973' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>time</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=datetime64[ns]]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>conditions_meteorology_ecmwf_isobaricInhPa</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-a434610f-f56e-4e39-98f2-c96aa9b1abb1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a434610f-f56e-4e39-98f2-c96aa9b1abb1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3c567ab3-1436-427d-923d-d59baf03be5f' class='xr-var-data-in' type='checkbox'><label for='data-3c567ab3-1436-427d-923d-d59baf03be5f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>pressure</dd><dt><span>positive :</span></dt><dd>down</dd><dt><span>standard_name :</span></dt><dd>air_pressure</dd><dt><span>stored_direction :</span></dt><dd>decreasing</dd><dt><span>units :</span></dt><dd>hPa</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>conditions_meteorology_ecmwf_number</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-5ba93df6-94fa-40d2-9533-02d39a1382be' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5ba93df6-94fa-40d2-9533-02d39a1382be' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bbd1fef7-846d-4953-8f3e-8dfb32f9d5a5' class='xr-var-data-in' type='checkbox'><label for='data-bbd1fef7-846d-4953-8f3e-8dfb32f9d5a5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>ensemble member numerical id</dd><dt><span>standard_name :</span></dt><dd>realization</dd><dt><span>units :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=int64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>conditions_meteorology_ecmwf_step</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-99c2bbec-2b67-48d1-92e8-a2367052a91f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-99c2bbec-2b67-48d1-92e8-a2367052a91f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4fd859cb-b544-4f57-835d-4e13185caa85' class='xr-var-data-in' type='checkbox'><label for='data-4fd859cb-b544-4f57-835d-4e13185caa85' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>time since forecast_reference_time</dd><dt><span>standard_name :</span></dt><dd>forecast_period</dd><dt><span>units :</span></dt><dd>nanoseconds</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=int64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>conditions_meteorology_ecmwf_surface</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-f2ae4f73-dc1e-4c11-ba39-9cd06d557feb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f2ae4f73-dc1e-4c11-ba39-9cd06d557feb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1c1f87ed-bbb3-4bd5-bd02-8b2fd546410f' class='xr-var-data-in' type='checkbox'><label for='data-1c1f87ed-bbb3-4bd5-bd02-8b2fd546410f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>original GRIB coordinate for key: level(surface)</dd><dt><span>units :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>conditions_meteorology_ecmwf_time</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-518b7106-90c6-4b8d-8f08-8200d82ce6c4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-518b7106-90c6-4b8d-8f08-8200d82ce6c4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-014aff8e-4bb0-44a0-82c6-b1be6fe8a0b5' class='xr-var-data-in' type='checkbox'><label for='data-014aff8e-4bb0-44a0-82c6-b1be6fe8a0b5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>initial time of forecast</dd><dt><span>standard_name :</span></dt><dd>forecast_reference_time</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=datetime64[ns]]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>conditions_meteorology_ecmwf_valid_time</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-64bdc9c6-f47b-469a-9ae5-0b128d00bb64' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-64bdc9c6-f47b-469a-9ae5-0b128d00bb64' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d646664e-6ca3-402b-82df-191391593422' class='xr-var-data-in' type='checkbox'><label for='data-d646664e-6ca3-402b-82df-191391593422' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>time</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=datetime64[ns]]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>measurements_r10m_x</span></div><div class='xr-var-dims'>(measurements_r10m_x)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>499985 499995 ... 609765 609775</div><input id='attrs-16821815-d1a4-48ae-b1e6-81d1deb650c3' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-16821815-d1a4-48ae-b1e6-81d1deb650c3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-92b81182-3860-41fd-b89d-55f19b977f3d' class='xr-var-data-in' type='checkbox'><label for='data-92b81182-3860-41fd-b89d-55f19b977f3d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([499985, 499995, 500005, ..., 609755, 609765, 609775], shape=(10980,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>measurements_r10m_y</span></div><div class='xr-var-dims'>(measurements_r10m_y)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>8000035 8000025 ... 7890255 7890245</div><input id='attrs-f013c6b0-8064-41d1-bf88-ae5c48505009' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-f013c6b0-8064-41d1-bf88-ae5c48505009' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-69e49bd1-c7d4-4bdb-b5ff-c1dcf26d2303' class='xr-var-data-in' type='checkbox'><label for='data-69e49bd1-c7d4-4bdb-b5ff-c1dcf26d2303' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([8000035, 8000025, 8000015, ..., 7890265, 7890255, 7890245],\n",
+       "      shape=(10980,))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-75339b14-b607-44dd-a370-a69906e913f7' class='xr-section-summary-in' type='checkbox'  ><label for='section-75339b14-b607-44dd-a370-a69906e913f7' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>measurements_r10m_x</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-aaafb30f-6bf6-4345-9476-fdfe5eeb564a' class='xr-index-data-in' type='checkbox'/><label for='index-aaafb30f-6bf6-4345-9476-fdfe5eeb564a' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([499985, 499995, 500005, 500015, 500025, 500035, 500045, 500055, 500065,\n",
        "       500075,\n",
        "       ...\n",
        "       609685, 609695, 609705, 609715, 609725, 609735, 609745, 609755, 609765,\n",
        "       609775],\n",
-       "      dtype=&#x27;int64&#x27;, name=&#x27;measurements_r10m_x&#x27;, length=10980))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>measurements_r10m_y</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-8bdc3f80-1248-4583-9e18-9eb16d6b6b0b' class='xr-index-data-in' type='checkbox'/><label for='index-8bdc3f80-1248-4583-9e18-9eb16d6b6b0b' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([5300035, 5300025, 5300015, 5300005, 5299995, 5299985, 5299975, 5299965,\n",
-       "       5299955, 5299945,\n",
+       "      dtype=&#x27;int64&#x27;, name=&#x27;measurements_r10m_x&#x27;, length=10980))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>measurements_r10m_y</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-17657958-ab72-408e-95b0-cb5358202f5d' class='xr-index-data-in' type='checkbox'/><label for='index-17657958-ab72-408e-95b0-cb5358202f5d' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([8000035, 8000025, 8000015, 8000005, 7999995, 7999985, 7999975, 7999965,\n",
+       "       7999955, 7999945,\n",
        "       ...\n",
-       "       5190335, 5190325, 5190315, 5190305, 5190295, 5190285, 5190275, 5190265,\n",
-       "       5190255, 5190245],\n",
-       "      dtype=&#x27;int64&#x27;, name=&#x27;measurements_r10m_y&#x27;, length=10980))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-b5223b59-c124-4449-9a0d-b9b70c482b7b' class='xr-section-summary-in' type='checkbox'  ><label for='section-b5223b59-c124-4449-9a0d-b9b70c482b7b' class='xr-section-summary' >Attributes: <span>(12)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;add_offset&#x27;: -0.1, &#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;fill_value&#x27;: 0, &#x27;scale_factor&#x27;: 0.0001, &#x27;units&#x27;: &#x27;digital_counts&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u2</dd><dt><span>fill_value :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>BOA reflectance from MSI acquisition at spectral band b02 492.7 nm</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 5190240.0, 609780.0, 5300040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32632</dd><dt><span>proj:shape :</span></dt><dd>[10980, 10980]</dd><dt><span>proj:transform :</span></dt><dd>[10.0, 0.0, 499980.0, 0.0, -10.0, 5300040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 32N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,9],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32632&quot;]]</dd><dt><span>units :</span></dt><dd>digital_counts</dd><dt><span>valid_max :</span></dt><dd>65535</dd><dt><span>valid_min :</span></dt><dd>1</dd></dl></div></li></ul></div></div>"
+       "       7890335, 7890325, 7890315, 7890305, 7890295, 7890285, 7890275, 7890265,\n",
+       "       7890255, 7890245],\n",
+       "      dtype=&#x27;int64&#x27;, name=&#x27;measurements_r10m_y&#x27;, length=10980))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-52d298d9-c91f-4b6b-8659-da665c909523' class='xr-section-summary-in' type='checkbox'  ><label for='section-52d298d9-c91f-4b6b-8659-da665c909523' class='xr-section-summary' >Attributes: <span>(12)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;add_offset&#x27;: -0.1, &#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;dtype&#x27;: &#x27;&lt;u2&#x27;, &#x27;fill_value&#x27;: 0, &#x27;long_name&#x27;: &#x27;TOA reflectance from MSI acquisition at spectral band b02 492.3 nm&#x27;, &#x27;scale_factor&#x27;: 0.0001, &#x27;units&#x27;: &#x27;digital_counts&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u2</dd><dt><span>fill_value :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>TOA reflectance from MSI acquisition at spectral band b02 492.3 nm</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 7890240.0, 609780.0, 8000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32625</dd><dt><span>proj:shape :</span></dt><dd>[10980, 10980]</dd><dt><span>proj:transform :</span></dt><dd>[10.0, 0.0, 499980.0, 0.0, -10.0, 8000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 25N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,-33],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32625&quot;]]</dd><dt><span>units :</span></dt><dd>digital_counts</dd><dt><span>valid_max :</span></dt><dd>65535</dd><dt><span>valid_min :</span></dt><dd>1</dd></dl></div></li></ul></div></div>"
       ],
       "text/plain": [
        "<xarray.DataArray 'measurements_r10m_b02' (measurements_r10m_y: 10980,\n",
        "                                           measurements_r10m_x: 10980)> Size: 964MB\n",
-       "dask.array<open_dataset-measurements_r10m_b02, shape=(10980, 10980), dtype=float64, chunksize=(10980, 10980), chunktype=numpy.ndarray>\n",
-       "Coordinates: (12/15)\n",
+       "dask.array<open_dataset-measurements_r10m_b02, shape=(10980, 10980), dtype=float64, chunksize=(1830, 1830), chunktype=numpy.ndarray>\n",
+       "Coordinates: (12/14)\n",
        "    conditions_meteorology_cams_isobaricInhPa   float64 8B ...\n",
        "    conditions_meteorology_cams_number          int64 8B ...\n",
        "    conditions_meteorology_cams_step            int64 8B ...\n",
@@ -22042,28 +21034,28 @@
        "    conditions_meteorology_cams_time            datetime64[ns] 8B ...\n",
        "    conditions_meteorology_cams_valid_time      datetime64[ns] 8B ...\n",
        "    ...                                          ...\n",
+       "    conditions_meteorology_ecmwf_step           int64 8B ...\n",
        "    conditions_meteorology_ecmwf_surface        float64 8B ...\n",
        "    conditions_meteorology_ecmwf_time           datetime64[ns] 8B ...\n",
        "    conditions_meteorology_ecmwf_valid_time     datetime64[ns] 8B ...\n",
        "  * measurements_r10m_x                         (measurements_r10m_x) int64 88kB ...\n",
        "  * measurements_r10m_y                         (measurements_r10m_y) int64 88kB ...\n",
-       "    quality_probability_band                    int64 8B ...\n",
        "Attributes:\n",
        "    _eopf_attrs:     {'add_offset': -0.1, 'coordinates': ['x', 'y'], 'dimensi...\n",
        "    dtype:           <u2\n",
        "    fill_value:      0\n",
-       "    long_name:       BOA reflectance from MSI acquisition at spectral band b0...\n",
-       "    proj:bbox:       [499980.0, 5190240.0, 609780.0, 5300040.0]\n",
-       "    proj:epsg:       32632\n",
+       "    long_name:       TOA reflectance from MSI acquisition at spectral band b0...\n",
+       "    proj:bbox:       [499980.0, 7890240.0, 609780.0, 8000040.0]\n",
+       "    proj:epsg:       32625\n",
        "    proj:shape:      [10980, 10980]\n",
-       "    proj:transform:  [10.0, 0.0, 499980.0, 0.0, -10.0, 5300040.0, 0.0, 0.0, 1.0]\n",
-       "    proj:wkt2:       PROJCS[\"WGS 84 / UTM zone 32N\",GEOGCS[\"WGS 84\",DATUM[\"WG...\n",
+       "    proj:transform:  [10.0, 0.0, 499980.0, 0.0, -10.0, 8000040.0, 0.0, 0.0, 1.0]\n",
+       "    proj:wkt2:       PROJCS[\"WGS 84 / UTM zone 25N\",GEOGCS[\"WGS 84\",DATUM[\"WG...\n",
        "    units:           digital_counts\n",
        "    valid_max:       65535\n",
        "    valid_min:       1"
       ]
      },
-     "execution_count": 26,
+     "execution_count": 10,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -22081,7 +21073,7 @@
     {
      "data": {
       "text/plain": [
-       "<matplotlib.collections.QuadMesh at 0x2281f504190>"
+       "<matplotlib.collections.QuadMesh at 0x1fd3458f4d0>"
       ]
      },
      "execution_count": 11,
@@ -22090,7 +21082,7 @@
     },
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 640x480 with 2 Axes>"
       ]
@@ -22114,20 +21106,20 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 12,
    "id": "3ade1cd0-0fa9-4f14-9c03-3f1ff0f26042",
    "metadata": {},
    "outputs": [],
    "source": [
-    "path = (\n",
-    "    \"s3://e05ab01a9d56408d82ac32d69a5aae2a:sample-data/tutorial_data/\"\n",
-    "    \"cpm_v253/S2A_MSIL2A_20240101T102431_N0510_R065_T32TNT_20240101T144052.zarr\"\n",
+    "url = (\n",
+    "    \"https://objectstore.eodc.eu:2222/e05ab01a9d56408d82ac32d69a5aae2a:202504-s02msil2a/15/products/cpm_v256/\"\n",
+    "    \"S2B_MSIL2A_20250415T142749_N0511_R139_T25WEV_20250415T181516.zarr\"\n",
     ")"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 13,
    "id": "9521d1e1-7ad7-42f5-8e71-138159a2d7ae",
    "metadata": {},
    "outputs": [
@@ -22510,7 +21502,7 @@
        "    *empty*\n",
        "Attributes:\n",
        "    other_metadata:  {&#x27;AOT_retrieval_model&#x27;: &#x27;CAMS&#x27;, &#x27;L0_ancillary_data_quali...\n",
-       "    stac_discovery:  {&#x27;assets&#x27;: {&#x27;analytic&#x27;: {&#x27;eo:bands&#x27;: [{&#x27;center_wavelengt...</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataTree</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-c0ca39b3-d51e-4fe7-a475-147025025d3f' class='xr-section-summary-in' type='checkbox'  ><label for='section-c0ca39b3-d51e-4fe7-a475-147025025d3f' class='xr-section-summary' >Groups: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><div style='display: inline-grid; grid-template-columns: 100%; grid-column: 1 / -1'><div style='display: inline-grid; grid-template-columns: 0px 20px auto; width: 100%;'><div style='grid-column-start: 1;border-right: 0.2em solid;border-color: var(--xr-border-color);height: 100%;width: 0px;'></div><div style='grid-column-start: 2;grid-row-start: 1;height: 1em;width: 20px;border-bottom: 0.2em solid;border-color: var(--xr-border-color);'></div><div style='grid-column-start: 3;'><div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
+       "    stac_discovery:  {&#x27;assets&#x27;: {&#x27;analytic&#x27;: {&#x27;eo:bands&#x27;: [{&#x27;center_wavelengt...</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataTree</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-00194cbe-c120-4d03-9048-31f7dad36274' class='xr-section-summary-in' type='checkbox'  ><label for='section-00194cbe-c120-4d03-9048-31f7dad36274' class='xr-section-summary' >Groups: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><div style='display: inline-grid; grid-template-columns: 100%; grid-column: 1 / -1'><div style='display: inline-grid; grid-template-columns: 0px 20px auto; width: 100%;'><div style='grid-column-start: 1;border-right: 0.2em solid;border-color: var(--xr-border-color);height: 100%;width: 0px;'></div><div style='grid-column-start: 2;grid-row-start: 1;height: 1em;width: 20px;border-bottom: 0.2em solid;border-color: var(--xr-border-color);'></div><div style='grid-column-start: 3;'><div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
        "<defs>\n",
        "<symbol id=\"icon-database\" viewBox=\"0 0 32 32\">\n",
        "<path d=\"M16 0c-8.837 0-16 2.239-16 5v4c0 2.761 7.163 5 16 5s16-2.239 16-5v-4c0-2.761-7.163-5-16-5z\"></path>\n",
@@ -22883,7 +21875,7 @@
        "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DatasetView&gt; Size: 0B\n",
        "Dimensions:  ()\n",
        "Data variables:\n",
-       "    *empty*</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>conditions</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-ff06b17b-5c02-47b7-baa6-d5f52332596f' class='xr-section-summary-in' type='checkbox'  ><label for='section-ff06b17b-5c02-47b7-baa6-d5f52332596f' class='xr-section-summary' >Groups: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><div style='display: inline-grid; grid-template-columns: 100%; grid-column: 1 / -1'><div style='display: inline-grid; grid-template-columns: 0px 20px auto; width: 100%;'><div style='grid-column-start: 1;border-right: 0.2em solid;border-color: var(--xr-border-color);height: 100%;width: 0px;'></div><div style='grid-column-start: 2;grid-row-start: 1;height: 1em;width: 20px;border-bottom: 0.2em solid;border-color: var(--xr-border-color);'></div><div style='grid-column-start: 3;'><div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
+       "    *empty*</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>conditions</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-df684e82-c4e7-4cf6-ac6d-42452cdf013e' class='xr-section-summary-in' type='checkbox'  ><label for='section-df684e82-c4e7-4cf6-ac6d-42452cdf013e' class='xr-section-summary' >Groups: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><div style='display: inline-grid; grid-template-columns: 100%; grid-column: 1 / -1'><div style='display: inline-grid; grid-template-columns: 0px 20px auto; width: 100%;'><div style='grid-column-start: 1;border-right: 0.2em solid;border-color: var(--xr-border-color);height: 100%;width: 0px;'></div><div style='grid-column-start: 2;grid-row-start: 1;height: 1em;width: 20px;border-bottom: 0.2em solid;border-color: var(--xr-border-color);'></div><div style='grid-column-start: 3;'><div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
        "<defs>\n",
        "<symbol id=\"icon-database\" viewBox=\"0 0 32 32\">\n",
        "<path d=\"M16 0c-8.837 0-16 2.239-16 5v4c0 2.761 7.163 5 16 5s16-2.239 16-5v-4c0-2.761-7.163-5-16-5z\"></path>\n",
@@ -23259,19 +22251,19 @@
        "Coordinates:\n",
        "  * angle                          (angle) &lt;U7 56B &#x27;zenith&#x27; &#x27;azimuth&#x27;\n",
        "  * band                           (band) &lt;U3 156B &#x27;b01&#x27; &#x27;b02&#x27; ... &#x27;b11&#x27; &#x27;b12&#x27;\n",
-       "  * detector                       (detector) int64 56B 3 4 5 6 7 8 9\n",
+       "  * detector                       (detector) int64 56B 6 7 8 9 10 11 12\n",
        "  * x                              (x) int64 184B 499980 504980 ... 609980\n",
-       "  * y                              (y) int64 184B 5300040 5295040 ... 5190040\n",
+       "  * y                              (y) int64 184B 8000040 7995040 ... 7890040\n",
        "Data variables:\n",
        "    mean_sun_angles                (angle) float64 16B dask.array&lt;chunksize=(2,), meta=np.ndarray&gt;\n",
        "    mean_viewing_incidence_angles  (band, angle) float64 208B dask.array&lt;chunksize=(13, 2), meta=np.ndarray&gt;\n",
        "    sun_angles                     (angle, y, x) float64 8kB dask.array&lt;chunksize=(2, 23, 23), meta=np.ndarray&gt;\n",
-       "    viewing_incidence_angles       (band, detector, angle, y, x) float64 770kB dask.array&lt;chunksize=(7, 4, 2, 23, 23), meta=np.ndarray&gt;</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>geometry</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-013d6532-cda2-4c7c-be7d-800c5959c92b' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-013d6532-cda2-4c7c-be7d-800c5959c92b' class='xr-section-summary'  title='Expand/collapse section'>Groups: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><div style='display: inline-grid; grid-template-columns: 100%; grid-column: 1 / -1'></div></div></li><li class='xr-section-item'><input id='section-bfd8d44b-a9cc-4315-a51c-4f2fbefb03b6' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-bfd8d44b-a9cc-4315-a51c-4f2fbefb03b6' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>angle</span>: 2</li><li><span class='xr-has-index'>band</span>: 13</li><li><span class='xr-has-index'>y</span>: 23</li><li><span class='xr-has-index'>x</span>: 23</li><li><span class='xr-has-index'>detector</span>: 7</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-b1ea6986-b281-4c35-92f2-cc965402d9b2' class='xr-section-summary-in' type='checkbox'  checked><label for='section-b1ea6986-b281-4c35-92f2-cc965402d9b2' class='xr-section-summary' >Coordinates: <span>(5)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>angle</span></div><div class='xr-var-dims'>(angle)</div><div class='xr-var-dtype'>&lt;U7</div><div class='xr-var-preview xr-preview'>&#x27;zenith&#x27; &#x27;azimuth&#x27;</div><input id='attrs-b9a3fcd9-782c-4246-b6af-74cec34d724d' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-b9a3fcd9-782c-4246-b6af-74cec34d724d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cce801ff-3f87-488e-917d-730640080304' class='xr-var-data-in' type='checkbox'><label for='data-cce801ff-3f87-488e-917d-730640080304' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;zenith&#x27;, &#x27;azimuth&#x27;], dtype=&#x27;&lt;U7&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>band</span></div><div class='xr-var-dims'>(band)</div><div class='xr-var-dtype'>&lt;U3</div><div class='xr-var-preview xr-preview'>&#x27;b01&#x27; &#x27;b02&#x27; &#x27;b03&#x27; ... &#x27;b11&#x27; &#x27;b12&#x27;</div><input id='attrs-40f14bec-e197-468e-b13f-59011e009c91' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-40f14bec-e197-468e-b13f-59011e009c91' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9bf37666-977c-4bce-bb70-958ac6580712' class='xr-var-data-in' type='checkbox'><label for='data-9bf37666-977c-4bce-bb70-958ac6580712' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;b01&#x27;, &#x27;b02&#x27;, &#x27;b03&#x27;, &#x27;b04&#x27;, &#x27;b05&#x27;, &#x27;b06&#x27;, &#x27;b07&#x27;, &#x27;b08&#x27;, &#x27;b8a&#x27;, &#x27;b09&#x27;,\n",
-       "       &#x27;b10&#x27;, &#x27;b11&#x27;, &#x27;b12&#x27;], dtype=&#x27;&lt;U3&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>detector</span></div><div class='xr-var-dims'>(detector)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>3 4 5 6 7 8 9</div><input id='attrs-a418b017-1e4b-4be8-a9b3-5ad815d3c53a' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-a418b017-1e4b-4be8-a9b3-5ad815d3c53a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7a2afda2-e561-43a7-bee1-6dccbd8d9345' class='xr-var-data-in' type='checkbox'><label for='data-7a2afda2-e561-43a7-bee1-6dccbd8d9345' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([3, 4, 5, 6, 7, 8, 9])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>499980 504980 ... 604980 609980</div><input id='attrs-2e546f6e-b27c-4c26-baf1-61af1f9d8ca9' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-2e546f6e-b27c-4c26-baf1-61af1f9d8ca9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d16bb323-2037-42d9-b180-1b9c49ffb58d' class='xr-var-data-in' type='checkbox'><label for='data-d16bb323-2037-42d9-b180-1b9c49ffb58d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([499980, 504980, 509980, 514980, 519980, 524980, 529980, 534980, 539980,\n",
+       "    viewing_incidence_angles       (band, detector, angle, y, x) float64 770kB dask.array&lt;chunksize=(7, 4, 2, 23, 23), meta=np.ndarray&gt;</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>geometry</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-fe0d17a7-fc1d-48a3-acca-08617e171272' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-fe0d17a7-fc1d-48a3-acca-08617e171272' class='xr-section-summary'  title='Expand/collapse section'>Groups: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><div style='display: inline-grid; grid-template-columns: 100%; grid-column: 1 / -1'></div></div></li><li class='xr-section-item'><input id='section-a14153a1-f714-4ffa-a52c-f07e9d7396b8' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-a14153a1-f714-4ffa-a52c-f07e9d7396b8' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>angle</span>: 2</li><li><span class='xr-has-index'>band</span>: 13</li><li><span class='xr-has-index'>y</span>: 23</li><li><span class='xr-has-index'>x</span>: 23</li><li><span class='xr-has-index'>detector</span>: 7</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-34a9a38e-c30b-43a3-bc4d-ec65f93d5bd4' class='xr-section-summary-in' type='checkbox'  checked><label for='section-34a9a38e-c30b-43a3-bc4d-ec65f93d5bd4' class='xr-section-summary' >Coordinates: <span>(5)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>angle</span></div><div class='xr-var-dims'>(angle)</div><div class='xr-var-dtype'>&lt;U7</div><div class='xr-var-preview xr-preview'>&#x27;zenith&#x27; &#x27;azimuth&#x27;</div><input id='attrs-2266c07d-1ca5-4767-b6b2-7df76d714f98' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-2266c07d-1ca5-4767-b6b2-7df76d714f98' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-220a0c91-f8bd-45f5-b06d-d4bf8259d10a' class='xr-var-data-in' type='checkbox'><label for='data-220a0c91-f8bd-45f5-b06d-d4bf8259d10a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;zenith&#x27;, &#x27;azimuth&#x27;], dtype=&#x27;&lt;U7&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>band</span></div><div class='xr-var-dims'>(band)</div><div class='xr-var-dtype'>&lt;U3</div><div class='xr-var-preview xr-preview'>&#x27;b01&#x27; &#x27;b02&#x27; &#x27;b03&#x27; ... &#x27;b11&#x27; &#x27;b12&#x27;</div><input id='attrs-ac468b9a-27e8-42e4-b84b-f989a4ec74a0' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-ac468b9a-27e8-42e4-b84b-f989a4ec74a0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e61542ab-c269-40ee-bb4d-0f0f6328c645' class='xr-var-data-in' type='checkbox'><label for='data-e61542ab-c269-40ee-bb4d-0f0f6328c645' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;b01&#x27;, &#x27;b02&#x27;, &#x27;b03&#x27;, &#x27;b04&#x27;, &#x27;b05&#x27;, &#x27;b06&#x27;, &#x27;b07&#x27;, &#x27;b08&#x27;, &#x27;b8a&#x27;, &#x27;b09&#x27;,\n",
+       "       &#x27;b10&#x27;, &#x27;b11&#x27;, &#x27;b12&#x27;], dtype=&#x27;&lt;U3&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>detector</span></div><div class='xr-var-dims'>(detector)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>6 7 8 9 10 11 12</div><input id='attrs-7fe880bd-b7dc-42e7-aeb7-3d2053af65d6' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-7fe880bd-b7dc-42e7-aeb7-3d2053af65d6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-99b3fc39-2d9a-4fa3-9758-8ecf0178b286' class='xr-var-data-in' type='checkbox'><label for='data-99b3fc39-2d9a-4fa3-9758-8ecf0178b286' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([ 6,  7,  8,  9, 10, 11, 12])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>499980 504980 ... 604980 609980</div><input id='attrs-2898b2c6-72d3-4e7c-a0e5-21e4d9546eef' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-2898b2c6-72d3-4e7c-a0e5-21e4d9546eef' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8ef21d99-3a5c-480e-b1a9-6fff1ada60c7' class='xr-var-data-in' type='checkbox'><label for='data-8ef21d99-3a5c-480e-b1a9-6fff1ada60c7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([499980, 504980, 509980, 514980, 519980, 524980, 529980, 534980, 539980,\n",
        "       544980, 549980, 554980, 559980, 564980, 569980, 574980, 579980, 584980,\n",
-       "       589980, 594980, 599980, 604980, 609980])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>5300040 5295040 ... 5195040 5190040</div><input id='attrs-a12a3433-5302-4b72-a37c-3c90cce5837f' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-a12a3433-5302-4b72-a37c-3c90cce5837f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-78d6ff29-3444-40db-86e5-02dae5097ca4' class='xr-var-data-in' type='checkbox'><label for='data-78d6ff29-3444-40db-86e5-02dae5097ca4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([5300040, 5295040, 5290040, 5285040, 5280040, 5275040, 5270040, 5265040,\n",
-       "       5260040, 5255040, 5250040, 5245040, 5240040, 5235040, 5230040, 5225040,\n",
-       "       5220040, 5215040, 5210040, 5205040, 5200040, 5195040, 5190040])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-d9c9de3a-78d8-4e31-9156-97b1993c9296' class='xr-section-summary-in' type='checkbox'  checked><label for='section-d9c9de3a-78d8-4e31-9156-97b1993c9296' class='xr-section-summary' >Data variables: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>mean_sun_angles</span></div><div class='xr-var-dims'>(angle)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(2,), meta=np.ndarray&gt;</div><input id='attrs-9289d679-246f-403f-9685-836f46ac3847' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9289d679-246f-403f-9685-836f46ac3847' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bd38c871-efac-4aa4-82be-a60926209d3c' class='xr-var-data-in' type='checkbox'><label for='data-bd38c871-efac-4aa4-82be-a60926209d3c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;angle&#x27;], &#x27;dimensions&#x27;: [&#x27;angle&#x27;]}</dd><dt><span>unit :</span></dt><dd>deg</dd></dl></div><div class='xr-var-data'><table>\n",
+       "       589980, 594980, 599980, 604980, 609980])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>8000040 7995040 ... 7895040 7890040</div><input id='attrs-3f4fb3e6-0d04-41c7-8824-c4c2cbc34320' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-3f4fb3e6-0d04-41c7-8824-c4c2cbc34320' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7a42ca85-01f5-45cf-8fef-77b12e0fc827' class='xr-var-data-in' type='checkbox'><label for='data-7a42ca85-01f5-45cf-8fef-77b12e0fc827' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([8000040, 7995040, 7990040, 7985040, 7980040, 7975040, 7970040, 7965040,\n",
+       "       7960040, 7955040, 7950040, 7945040, 7940040, 7935040, 7930040, 7925040,\n",
+       "       7920040, 7915040, 7910040, 7905040, 7900040, 7895040, 7890040])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-9ed46621-0dd7-4902-b589-c8b8fa3f9c4e' class='xr-section-summary-in' type='checkbox'  checked><label for='section-9ed46621-0dd7-4902-b589-c8b8fa3f9c4e' class='xr-section-summary' >Data variables: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>mean_sun_angles</span></div><div class='xr-var-dims'>(angle)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(2,), meta=np.ndarray&gt;</div><input id='attrs-33ec3f7e-b703-4ac9-a579-f242163c5d60' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-33ec3f7e-b703-4ac9-a579-f242163c5d60' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a2c21315-7953-433e-a0c3-d0d80c06c183' class='xr-var-data-in' type='checkbox'><label for='data-a2c21315-7953-433e-a0c3-d0d80c06c183' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;angle&#x27;], &#x27;dimensions&#x27;: [&#x27;angle&#x27;]}</dd><dt><span>unit :</span></dt><dd>deg</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -23326,7 +22318,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mean_viewing_incidence_angles</span></div><div class='xr-var-dims'>(band, angle)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(13, 2), meta=np.ndarray&gt;</div><input id='attrs-ddaa7cc0-5125-42c1-b6ab-8c34705ef8ce' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ddaa7cc0-5125-42c1-b6ab-8c34705ef8ce' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cab1a950-1301-4b85-a721-1db0adc6a395' class='xr-var-data-in' type='checkbox'><label for='data-cab1a950-1301-4b85-a721-1db0adc6a395' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;angle&#x27;, &#x27;band&#x27;], &#x27;dimensions&#x27;: [&#x27;band&#x27;, &#x27;angle&#x27;]}</dd><dt><span>unit :</span></dt><dd>deg</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mean_viewing_incidence_angles</span></div><div class='xr-var-dims'>(band, angle)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(13, 2), meta=np.ndarray&gt;</div><input id='attrs-c3864f90-472b-4e04-b843-e943865e059e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c3864f90-472b-4e04-b843-e943865e059e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3a516c3a-2684-496b-b3df-6e63b50eb1ed' class='xr-var-data-in' type='checkbox'><label for='data-3a516c3a-2684-496b-b3df-6e63b50eb1ed' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;angle&#x27;, &#x27;band&#x27;], &#x27;dimensions&#x27;: [&#x27;band&#x27;, &#x27;angle&#x27;]}</dd><dt><span>unit :</span></dt><dd>deg</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -23381,7 +22373,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sun_angles</span></div><div class='xr-var-dims'>(angle, y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(2, 23, 23), meta=np.ndarray&gt;</div><input id='attrs-0c8c0a93-dec2-4dec-9124-136a96b5e3e3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0c8c0a93-dec2-4dec-9124-136a96b5e3e3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8b33b92d-b635-402f-aab0-dc85f0795790' class='xr-var-data-in' type='checkbox'><label for='data-8b33b92d-b635-402f-aab0-dc85f0795790' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;angle&#x27;, &#x27;y&#x27;, &#x27;x&#x27;], &#x27;dimensions&#x27;: [&#x27;angle&#x27;, &#x27;y&#x27;, &#x27;x&#x27;]}</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sun_angles</span></div><div class='xr-var-dims'>(angle, y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(2, 23, 23), meta=np.ndarray&gt;</div><input id='attrs-00085e3b-af5f-44d5-82bb-7aaa8dc89fd5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-00085e3b-af5f-44d5-82bb-7aaa8dc89fd5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ab339e26-73cb-4db9-a8b7-af7b655d1be2' class='xr-var-data-in' type='checkbox'><label for='data-ab339e26-73cb-4db9-a8b7-af7b655d1be2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;angle&#x27;, &#x27;y&#x27;, &#x27;x&#x27;], &#x27;dimensions&#x27;: [&#x27;angle&#x27;, &#x27;y&#x27;, &#x27;x&#x27;]}</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -23459,7 +22451,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>viewing_incidence_angles</span></div><div class='xr-var-dims'>(band, detector, angle, y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(7, 4, 2, 23, 23), meta=np.ndarray&gt;</div><input id='attrs-1210f401-cbf6-426b-9b85-ee3c68482275' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1210f401-cbf6-426b-9b85-ee3c68482275' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e6cb1949-de0b-4b4f-8154-051e60acba5b' class='xr-var-data-in' type='checkbox'><label for='data-e6cb1949-de0b-4b4f-8154-051e60acba5b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;angle&#x27;, &#x27;y&#x27;, &#x27;x&#x27;, &#x27;detector&#x27;, &#x27;band&#x27;], &#x27;dimensions&#x27;: [&#x27;band&#x27;, &#x27;detector&#x27;, &#x27;angle&#x27;, &#x27;y&#x27;, &#x27;x&#x27;]}</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>viewing_incidence_angles</span></div><div class='xr-var-dims'>(band, detector, angle, y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(7, 4, 2, 23, 23), meta=np.ndarray&gt;</div><input id='attrs-4a0f7a35-182e-4fab-9a98-a053a1690f77' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4a0f7a35-182e-4fab-9a98-a053a1690f77' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7058e7e7-5ff8-42eb-a5c8-2701e28f9201' class='xr-var-data-in' type='checkbox'><label for='data-7058e7e7-5ff8-42eb-a5c8-2701e28f9201' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;angle&#x27;, &#x27;y&#x27;, &#x27;x&#x27;, &#x27;detector&#x27;, &#x27;band&#x27;], &#x27;dimensions&#x27;: [&#x27;band&#x27;, &#x27;detector&#x27;, &#x27;angle&#x27;, &#x27;y&#x27;, &#x27;x&#x27;]}</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -23555,7 +22547,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-4745cfd6-09e0-4659-aeb0-8091a710cdb3' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-4745cfd6-09e0-4659-aeb0-8091a710cdb3' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div><div style='display: inline-grid; grid-template-columns: 0px 20px auto; width: 100%;'><div style='grid-column-start: 1;border-right: 0.2em solid;border-color: var(--xr-border-color);height: 100%;width: 0px;'></div><div style='grid-column-start: 2;grid-row-start: 1;height: 1em;width: 20px;border-bottom: 0.2em solid;border-color: var(--xr-border-color);'></div><div style='grid-column-start: 3;'><div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
+       "</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-4a74498e-ab9a-49a8-9862-0689761da683' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-4a74498e-ab9a-49a8-9862-0689761da683' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div><div style='display: inline-grid; grid-template-columns: 0px 20px auto; width: 100%;'><div style='grid-column-start: 1;border-right: 0.2em solid;border-color: var(--xr-border-color);height: 100%;width: 0px;'></div><div style='grid-column-start: 2;grid-row-start: 1;height: 1em;width: 20px;border-bottom: 0.2em solid;border-color: var(--xr-border-color);'></div><div style='grid-column-start: 3;'><div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
        "<defs>\n",
        "<symbol id=\"icon-database\" viewBox=\"0 0 32 32\">\n",
        "<path d=\"M16 0c-8.837 0-16 2.239-16 5v4c0 2.761 7.163 5 16 5s16-2.239 16-5v-4c0-2.761-7.163-5-16-5z\"></path>\n",
@@ -23928,7 +22920,7 @@
        "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DatasetView&gt; Size: 0B\n",
        "Dimensions:  ()\n",
        "Data variables:\n",
-       "    *empty*</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>mask</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-125769bf-5546-4a67-a4b2-1b1ceaacb6cc' class='xr-section-summary-in' type='checkbox'  ><label for='section-125769bf-5546-4a67-a4b2-1b1ceaacb6cc' class='xr-section-summary' >Groups: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><div style='display: inline-grid; grid-template-columns: 100%; grid-column: 1 / -1'><div style='display: inline-grid; grid-template-columns: 0px 20px auto; width: 100%;'><div style='grid-column-start: 1;border-right: 0.2em solid;border-color: var(--xr-border-color);height: 100%;width: 0px;'></div><div style='grid-column-start: 2;grid-row-start: 1;height: 1em;width: 20px;border-bottom: 0.2em solid;border-color: var(--xr-border-color);'></div><div style='grid-column-start: 3;'><div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
+       "    *empty*</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>mask</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-91cf45c1-c763-4ca3-bcf7-3bd1a3d0512a' class='xr-section-summary-in' type='checkbox'  ><label for='section-91cf45c1-c763-4ca3-bcf7-3bd1a3d0512a' class='xr-section-summary' >Groups: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><div style='display: inline-grid; grid-template-columns: 100%; grid-column: 1 / -1'><div style='display: inline-grid; grid-template-columns: 0px 20px auto; width: 100%;'><div style='grid-column-start: 1;border-right: 0.2em solid;border-color: var(--xr-border-color);height: 100%;width: 0px;'></div><div style='grid-column-start: 2;grid-row-start: 1;height: 1em;width: 20px;border-bottom: 0.2em solid;border-color: var(--xr-border-color);'></div><div style='grid-column-start: 3;'><div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
        "<defs>\n",
        "<symbol id=\"icon-database\" viewBox=\"0 0 32 32\">\n",
        "<path d=\"M16 0c-8.837 0-16 2.239-16 5v4c0 2.761 7.163 5 16 5s16-2.239 16-5v-4c0-2.761-7.163-5-16-5z\"></path>\n",
@@ -24301,7 +23293,7 @@
        "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DatasetView&gt; Size: 0B\n",
        "Dimensions:  ()\n",
        "Data variables:\n",
-       "    *empty*</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>detector_footprint</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-a9f93eaa-9159-441f-a8c2-b2fb01ebc80b' class='xr-section-summary-in' type='checkbox'  ><label for='section-a9f93eaa-9159-441f-a8c2-b2fb01ebc80b' class='xr-section-summary' >Groups: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><div style='display: inline-grid; grid-template-columns: 100%; grid-column: 1 / -1'><div style='display: inline-grid; grid-template-columns: 0px 20px auto; width: 100%;'><div style='grid-column-start: 1;border-right: 0.2em solid;border-color: var(--xr-border-color);height: 100%;width: 0px;'></div><div style='grid-column-start: 2;grid-row-start: 1;height: 1em;width: 20px;border-bottom: 0.2em solid;border-color: var(--xr-border-color);'></div><div style='grid-column-start: 3;'><div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
+       "    *empty*</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>detector_footprint</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-94ec72fb-b169-435d-b5d6-f8adb5869048' class='xr-section-summary-in' type='checkbox'  ><label for='section-94ec72fb-b169-435d-b5d6-f8adb5869048' class='xr-section-summary' >Groups: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><div style='display: inline-grid; grid-template-columns: 100%; grid-column: 1 / -1'><div style='display: inline-grid; grid-template-columns: 0px 20px auto; width: 100%;'><div style='grid-column-start: 1;border-right: 0.2em solid;border-color: var(--xr-border-color);height: 100%;width: 0px;'></div><div style='grid-column-start: 2;grid-row-start: 1;height: 1em;width: 20px;border-bottom: 0.2em solid;border-color: var(--xr-border-color);'></div><div style='grid-column-start: 3;'><div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
        "<defs>\n",
        "<symbol id=\"icon-database\" viewBox=\"0 0 32 32\">\n",
        "<path d=\"M16 0c-8.837 0-16 2.239-16 5v4c0 2.761 7.163 5 16 5s16-2.239 16-5v-4c0-2.761-7.163-5-16-5z\"></path>\n",
@@ -24675,12 +23667,13 @@
        "Dimensions:  (y: 10980, x: 10980)\n",
        "Coordinates:\n",
        "  * x        (x) int64 88kB 499985 499995 500005 500015 ... 609755 609765 609775\n",
-       "  * y        (y) int64 88kB 5300035 5300025 5300015 ... 5190265 5190255 5190245\n",
+       "  * y        (y) int64 88kB 8000035 8000025 8000015 ... 7890265 7890255 7890245\n",
        "Data variables:\n",
        "    b02      (y, x) uint8 121MB dask.array&lt;chunksize=(1830, 1830), meta=np.ndarray&gt;\n",
        "    b03      (y, x) uint8 121MB dask.array&lt;chunksize=(1830, 1830), meta=np.ndarray&gt;\n",
        "    b04      (y, x) uint8 121MB dask.array&lt;chunksize=(1830, 1830), meta=np.ndarray&gt;\n",
-       "    b08      (y, x) uint8 121MB dask.array&lt;chunksize=(1830, 1830), meta=np.ndarray&gt;</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>r10m</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-69ae692e-4cea-4183-9fde-a2404a6f098e' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-69ae692e-4cea-4183-9fde-a2404a6f098e' class='xr-section-summary'  title='Expand/collapse section'>Groups: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><div style='display: inline-grid; grid-template-columns: 100%; grid-column: 1 / -1'></div></div></li><li class='xr-section-item'><input id='section-615354d9-cbc1-4d34-94ad-5209626e7f02' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-615354d9-cbc1-4d34-94ad-5209626e7f02' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>y</span>: 10980</li><li><span class='xr-has-index'>x</span>: 10980</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-9285d7d1-af88-4f7a-af4e-d63067152238' class='xr-section-summary-in' type='checkbox'  checked><label for='section-9285d7d1-af88-4f7a-af4e-d63067152238' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>499985 499995 ... 609765 609775</div><input id='attrs-589f0cd7-9350-43c0-814e-9b8eac89028c' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-589f0cd7-9350-43c0-814e-9b8eac89028c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-60817fc9-555e-4d00-b3ad-0a4c7ccbc021' class='xr-var-data-in' type='checkbox'><label for='data-60817fc9-555e-4d00-b3ad-0a4c7ccbc021' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([499985, 499995, 500005, ..., 609755, 609765, 609775])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>5300035 5300025 ... 5190255 5190245</div><input id='attrs-c4fb3582-1b31-411f-aad6-5ecbf71cf48a' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-c4fb3582-1b31-411f-aad6-5ecbf71cf48a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dc8614e6-e32e-4454-997d-d88e48ce111b' class='xr-var-data-in' type='checkbox'><label for='data-dc8614e6-e32e-4454-997d-d88e48ce111b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([5300035, 5300025, 5300015, ..., 5190265, 5190255, 5190245])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-b7361dde-5c8e-4c3e-b3ee-e486a54deace' class='xr-section-summary-in' type='checkbox'  checked><label for='section-b7361dde-5c8e-4c3e-b3ee-e486a54deace' class='xr-section-summary' >Data variables: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>b02</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1830, 1830), meta=np.ndarray&gt;</div><input id='attrs-82e07043-f57d-491b-8b62-8a955e9904d5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-82e07043-f57d-491b-8b62-8a955e9904d5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-45383d15-ae63-4cb2-85f9-50cfb38f5c41' class='xr-var-data-in' type='checkbox'><label for='data-45383d15-ae63-4cb2-85f9-50cfb38f5c41' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;]}</dd><dt><span>dtype :</span></dt><dd>&lt;u1</dd><dt><span>long_name :</span></dt><dd>detector footprint mask provided in the final reference frame (ground geometry). 0 = no detector, 1-12 = detector 1-12</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 5190240.0, 609780.0, 5300040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32632</dd><dt><span>proj:shape :</span></dt><dd>[10980, 10980]</dd><dt><span>proj:transform :</span></dt><dd>[10.0, 0.0, 499980.0, 0.0, -10.0, 5300040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 32N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,9],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32632&quot;]]</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    b08      (y, x) uint8 121MB dask.array&lt;chunksize=(1830, 1830), meta=np.ndarray&gt;</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>r10m</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-a27dadfc-83d5-4f64-a420-78ce7eefca22' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-a27dadfc-83d5-4f64-a420-78ce7eefca22' class='xr-section-summary'  title='Expand/collapse section'>Groups: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><div style='display: inline-grid; grid-template-columns: 100%; grid-column: 1 / -1'></div></div></li><li class='xr-section-item'><input id='section-b48fe9e3-8f64-4c24-8238-f73b843eaf2f' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-b48fe9e3-8f64-4c24-8238-f73b843eaf2f' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>y</span>: 10980</li><li><span class='xr-has-index'>x</span>: 10980</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-ca5fd3ff-ee5d-485a-8fcb-b5d8757b5f6a' class='xr-section-summary-in' type='checkbox'  checked><label for='section-ca5fd3ff-ee5d-485a-8fcb-b5d8757b5f6a' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>499985 499995 ... 609765 609775</div><input id='attrs-4f4b6482-93db-4391-a813-4f42195d7cc1' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-4f4b6482-93db-4391-a813-4f42195d7cc1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e2b43cef-135a-4567-9397-f1dfd3688df8' class='xr-var-data-in' type='checkbox'><label for='data-e2b43cef-135a-4567-9397-f1dfd3688df8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([499985, 499995, 500005, ..., 609755, 609765, 609775], shape=(10980,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>8000035 8000025 ... 7890255 7890245</div><input id='attrs-45646e0b-bbab-47ca-a78a-729573a76f7d' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-45646e0b-bbab-47ca-a78a-729573a76f7d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-70c5d072-e3dd-4d89-a957-f4f1ea00a006' class='xr-var-data-in' type='checkbox'><label for='data-70c5d072-e3dd-4d89-a957-f4f1ea00a006' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([8000035, 8000025, 8000015, ..., 7890265, 7890255, 7890245],\n",
+       "      shape=(10980,))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-5b8d82ba-06cc-4646-b63c-983e61235b35' class='xr-section-summary-in' type='checkbox'  checked><label for='section-5b8d82ba-06cc-4646-b63c-983e61235b35' class='xr-section-summary' >Data variables: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>b02</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1830, 1830), meta=np.ndarray&gt;</div><input id='attrs-a25b08ce-196a-4e49-a77c-55a27d6d5253' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a25b08ce-196a-4e49-a77c-55a27d6d5253' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-941f8704-4dd2-4598-aaae-6ab80a9a53aa' class='xr-var-data-in' type='checkbox'><label for='data-941f8704-4dd2-4598-aaae-6ab80a9a53aa' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;dtype&#x27;: &#x27;&lt;u1&#x27;, &#x27;long_name&#x27;: &#x27;detector footprint mask provided in the final reference frame (ground geometry). 0 = no detector, 1-12 = detector 1-12&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u1</dd><dt><span>long_name :</span></dt><dd>detector footprint mask provided in the final reference frame (ground geometry). 0 = no detector, 1-12 = detector 1-12</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 7890240.0, 609780.0, 8000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32625</dd><dt><span>proj:shape :</span></dt><dd>[10980, 10980]</dd><dt><span>proj:transform :</span></dt><dd>[10.0, 0.0, 499980.0, 0.0, -10.0, 8000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 25N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,-33],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32625&quot;]]</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -24745,7 +23738,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b03</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1830, 1830), meta=np.ndarray&gt;</div><input id='attrs-f93838bc-e668-425f-9bf6-43aa122dbac7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f93838bc-e668-425f-9bf6-43aa122dbac7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5cd712c3-825d-4e85-a15a-0abfd84ab627' class='xr-var-data-in' type='checkbox'><label for='data-5cd712c3-825d-4e85-a15a-0abfd84ab627' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;]}</dd><dt><span>dtype :</span></dt><dd>&lt;u1</dd><dt><span>long_name :</span></dt><dd>detector footprint mask provided in the final reference frame (ground geometry). 0 = no detector, 1-12 = detector 1-12</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 5190240.0, 609780.0, 5300040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32632</dd><dt><span>proj:shape :</span></dt><dd>[10980, 10980]</dd><dt><span>proj:transform :</span></dt><dd>[10.0, 0.0, 499980.0, 0.0, -10.0, 5300040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 32N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,9],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32632&quot;]]</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b03</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1830, 1830), meta=np.ndarray&gt;</div><input id='attrs-3bb076d0-2623-4421-80b0-fe89d13b6817' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3bb076d0-2623-4421-80b0-fe89d13b6817' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-af3a0fcf-987c-4207-aa70-e316179ab441' class='xr-var-data-in' type='checkbox'><label for='data-af3a0fcf-987c-4207-aa70-e316179ab441' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;dtype&#x27;: &#x27;&lt;u1&#x27;, &#x27;long_name&#x27;: &#x27;detector footprint mask provided in the final reference frame (ground geometry). 0 = no detector, 1-12 = detector 1-12&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u1</dd><dt><span>long_name :</span></dt><dd>detector footprint mask provided in the final reference frame (ground geometry). 0 = no detector, 1-12 = detector 1-12</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 7890240.0, 609780.0, 8000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32625</dd><dt><span>proj:shape :</span></dt><dd>[10980, 10980]</dd><dt><span>proj:transform :</span></dt><dd>[10.0, 0.0, 499980.0, 0.0, -10.0, 8000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 25N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,-33],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32625&quot;]]</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -24810,7 +23803,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b04</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1830, 1830), meta=np.ndarray&gt;</div><input id='attrs-57b09788-8aaa-4d2e-b077-d0cb7a2ec7da' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-57b09788-8aaa-4d2e-b077-d0cb7a2ec7da' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-397af79b-a2fd-4392-838f-572882d375ce' class='xr-var-data-in' type='checkbox'><label for='data-397af79b-a2fd-4392-838f-572882d375ce' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;]}</dd><dt><span>dtype :</span></dt><dd>&lt;u1</dd><dt><span>long_name :</span></dt><dd>detector footprint mask provided in the final reference frame (ground geometry). 0 = no detector, 1-12 = detector 1-12</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 5190240.0, 609780.0, 5300040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32632</dd><dt><span>proj:shape :</span></dt><dd>[10980, 10980]</dd><dt><span>proj:transform :</span></dt><dd>[10.0, 0.0, 499980.0, 0.0, -10.0, 5300040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 32N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,9],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32632&quot;]]</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b04</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1830, 1830), meta=np.ndarray&gt;</div><input id='attrs-e93cbdfa-47da-45fd-a4e7-830d9e8dbf06' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e93cbdfa-47da-45fd-a4e7-830d9e8dbf06' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5980df30-beb8-40ab-8358-733aa1999e05' class='xr-var-data-in' type='checkbox'><label for='data-5980df30-beb8-40ab-8358-733aa1999e05' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;dtype&#x27;: &#x27;&lt;u1&#x27;, &#x27;long_name&#x27;: &#x27;detector footprint mask provided in the final reference frame (ground geometry). 0 = no detector, 1-12 = detector 1-12&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u1</dd><dt><span>long_name :</span></dt><dd>detector footprint mask provided in the final reference frame (ground geometry). 0 = no detector, 1-12 = detector 1-12</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 7890240.0, 609780.0, 8000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32625</dd><dt><span>proj:shape :</span></dt><dd>[10980, 10980]</dd><dt><span>proj:transform :</span></dt><dd>[10.0, 0.0, 499980.0, 0.0, -10.0, 8000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 25N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,-33],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32625&quot;]]</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -24875,7 +23868,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b08</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1830, 1830), meta=np.ndarray&gt;</div><input id='attrs-0590720f-5b35-430c-a36f-74924210c19b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0590720f-5b35-430c-a36f-74924210c19b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3b7c2498-3699-4e6b-afbb-ae069cd56467' class='xr-var-data-in' type='checkbox'><label for='data-3b7c2498-3699-4e6b-afbb-ae069cd56467' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;]}</dd><dt><span>dtype :</span></dt><dd>&lt;u1</dd><dt><span>long_name :</span></dt><dd>detector footprint mask provided in the final reference frame (ground geometry). 0 = no detector, 1-12 = detector 1-12</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 5190240.0, 609780.0, 5300040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32632</dd><dt><span>proj:shape :</span></dt><dd>[10980, 10980]</dd><dt><span>proj:transform :</span></dt><dd>[10.0, 0.0, 499980.0, 0.0, -10.0, 5300040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 32N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,9],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32632&quot;]]</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b08</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1830, 1830), meta=np.ndarray&gt;</div><input id='attrs-33c38aad-4bf3-45cd-bb7a-2997b2f7ed48' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-33c38aad-4bf3-45cd-bb7a-2997b2f7ed48' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ab16e9a9-3a78-4c47-a4a9-42687004a5b8' class='xr-var-data-in' type='checkbox'><label for='data-ab16e9a9-3a78-4c47-a4a9-42687004a5b8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;dtype&#x27;: &#x27;&lt;u1&#x27;, &#x27;long_name&#x27;: &#x27;detector footprint mask provided in the final reference frame (ground geometry). 0 = no detector, 1-12 = detector 1-12&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u1</dd><dt><span>long_name :</span></dt><dd>detector footprint mask provided in the final reference frame (ground geometry). 0 = no detector, 1-12 = detector 1-12</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 7890240.0, 609780.0, 8000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32625</dd><dt><span>proj:shape :</span></dt><dd>[10980, 10980]</dd><dt><span>proj:transform :</span></dt><dd>[10.0, 0.0, 499980.0, 0.0, -10.0, 8000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 25N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,-33],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32625&quot;]]</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -24940,7 +23933,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-af1656e2-27c8-48ca-bdf2-2e70ee12b7d4' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-af1656e2-27c8-48ca-bdf2-2e70ee12b7d4' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div><div style='display: inline-grid; grid-template-columns: 0px 20px auto; width: 100%;'><div style='grid-column-start: 1;border-right: 0.2em solid;border-color: var(--xr-border-color);height: 100%;width: 0px;'></div><div style='grid-column-start: 2;grid-row-start: 1;height: 1em;width: 20px;border-bottom: 0.2em solid;border-color: var(--xr-border-color);'></div><div style='grid-column-start: 3;'><div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
+       "</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-bd29d86b-2691-4eda-810e-c79f29104a3b' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-bd29d86b-2691-4eda-810e-c79f29104a3b' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div><div style='display: inline-grid; grid-template-columns: 0px 20px auto; width: 100%;'><div style='grid-column-start: 1;border-right: 0.2em solid;border-color: var(--xr-border-color);height: 100%;width: 0px;'></div><div style='grid-column-start: 2;grid-row-start: 1;height: 1em;width: 20px;border-bottom: 0.2em solid;border-color: var(--xr-border-color);'></div><div style='grid-column-start: 3;'><div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
        "<defs>\n",
        "<symbol id=\"icon-database\" viewBox=\"0 0 32 32\">\n",
        "<path d=\"M16 0c-8.837 0-16 2.239-16 5v4c0 2.761 7.163 5 16 5s16-2.239 16-5v-4c0-2.761-7.163-5-16-5z\"></path>\n",
@@ -25314,14 +24307,15 @@
        "Dimensions:  (y: 5490, x: 5490)\n",
        "Coordinates:\n",
        "  * x        (x) int64 44kB 499990 500010 500030 500050 ... 609730 609750 609770\n",
-       "  * y        (y) int64 44kB 5300030 5300010 5299990 ... 5190290 5190270 5190250\n",
+       "  * y        (y) int64 44kB 8000030 8000010 7999990 ... 7890290 7890270 7890250\n",
        "Data variables:\n",
        "    b05      (y, x) uint8 30MB dask.array&lt;chunksize=(915, 915), meta=np.ndarray&gt;\n",
        "    b06      (y, x) uint8 30MB dask.array&lt;chunksize=(915, 915), meta=np.ndarray&gt;\n",
        "    b07      (y, x) uint8 30MB dask.array&lt;chunksize=(915, 915), meta=np.ndarray&gt;\n",
        "    b11      (y, x) uint8 30MB dask.array&lt;chunksize=(915, 915), meta=np.ndarray&gt;\n",
        "    b12      (y, x) uint8 30MB dask.array&lt;chunksize=(915, 915), meta=np.ndarray&gt;\n",
-       "    b8a      (y, x) uint8 30MB dask.array&lt;chunksize=(915, 915), meta=np.ndarray&gt;</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>r20m</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-506e2ac7-c91a-4073-8de7-58447def5e4b' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-506e2ac7-c91a-4073-8de7-58447def5e4b' class='xr-section-summary'  title='Expand/collapse section'>Groups: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><div style='display: inline-grid; grid-template-columns: 100%; grid-column: 1 / -1'></div></div></li><li class='xr-section-item'><input id='section-602a885e-c9c1-43dc-9c8e-b6d49d25bd46' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-602a885e-c9c1-43dc-9c8e-b6d49d25bd46' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>y</span>: 5490</li><li><span class='xr-has-index'>x</span>: 5490</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-508cf6c2-3ad4-4a84-b171-841f498cde7e' class='xr-section-summary-in' type='checkbox'  checked><label for='section-508cf6c2-3ad4-4a84-b171-841f498cde7e' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>499990 500010 ... 609750 609770</div><input id='attrs-e4533712-6db4-4385-8512-e13e2604bc1b' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-e4533712-6db4-4385-8512-e13e2604bc1b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-694226ab-84c9-4659-90d6-a2fe583afce1' class='xr-var-data-in' type='checkbox'><label for='data-694226ab-84c9-4659-90d6-a2fe583afce1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([499990, 500010, 500030, ..., 609730, 609750, 609770])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>5300030 5300010 ... 5190270 5190250</div><input id='attrs-f9b45112-8748-44f1-a960-da5a4a70011d' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-f9b45112-8748-44f1-a960-da5a4a70011d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6d8e719b-5133-44e8-ad66-ad3d718ec30a' class='xr-var-data-in' type='checkbox'><label for='data-6d8e719b-5133-44e8-ad66-ad3d718ec30a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([5300030, 5300010, 5299990, ..., 5190290, 5190270, 5190250])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-3e5a0902-49ca-4991-9bc1-3312aa45488f' class='xr-section-summary-in' type='checkbox'  checked><label for='section-3e5a0902-49ca-4991-9bc1-3312aa45488f' class='xr-section-summary' >Data variables: <span>(6)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>b05</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(915, 915), meta=np.ndarray&gt;</div><input id='attrs-a181fb2f-d6f1-4923-b421-e9b2c6778053' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a181fb2f-d6f1-4923-b421-e9b2c6778053' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-30ef9bbe-3559-4021-ba20-5c148c74a8e7' class='xr-var-data-in' type='checkbox'><label for='data-30ef9bbe-3559-4021-ba20-5c148c74a8e7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;]}</dd><dt><span>dtype :</span></dt><dd>&lt;u1</dd><dt><span>long_name :</span></dt><dd>detector footprint mask provided in the final reference frame (ground geometry). 0 = no detector, 1-12 = detector 1-12</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 5190240.0, 609780.0, 5300040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32632</dd><dt><span>proj:shape :</span></dt><dd>[5490, 5490]</dd><dt><span>proj:transform :</span></dt><dd>[20.0, 0.0, 499980.0, 0.0, -20.0, 5300040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 32N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,9],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32632&quot;]]</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    b8a      (y, x) uint8 30MB dask.array&lt;chunksize=(915, 915), meta=np.ndarray&gt;</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>r20m</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-c0dd2d1b-021d-465b-92b7-4c02a8a5644a' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-c0dd2d1b-021d-465b-92b7-4c02a8a5644a' class='xr-section-summary'  title='Expand/collapse section'>Groups: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><div style='display: inline-grid; grid-template-columns: 100%; grid-column: 1 / -1'></div></div></li><li class='xr-section-item'><input id='section-9029111d-09cb-4d75-a0d8-78cd6d65a2c2' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-9029111d-09cb-4d75-a0d8-78cd6d65a2c2' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>y</span>: 5490</li><li><span class='xr-has-index'>x</span>: 5490</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-705d4851-7302-4c50-99ab-b028d82e3982' class='xr-section-summary-in' type='checkbox'  checked><label for='section-705d4851-7302-4c50-99ab-b028d82e3982' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>499990 500010 ... 609750 609770</div><input id='attrs-16222cae-c94e-45f6-83bd-2b5045eb761c' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-16222cae-c94e-45f6-83bd-2b5045eb761c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4e03f968-074e-4035-80ad-2bba44658d7f' class='xr-var-data-in' type='checkbox'><label for='data-4e03f968-074e-4035-80ad-2bba44658d7f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([499990, 500010, 500030, ..., 609730, 609750, 609770], shape=(5490,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>8000030 8000010 ... 7890270 7890250</div><input id='attrs-198ec763-e206-4ed8-b215-3b62dff3c328' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-198ec763-e206-4ed8-b215-3b62dff3c328' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-48f1c6f4-9447-4dcd-b1b5-7a76f1fd6c8b' class='xr-var-data-in' type='checkbox'><label for='data-48f1c6f4-9447-4dcd-b1b5-7a76f1fd6c8b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([8000030, 8000010, 7999990, ..., 7890290, 7890270, 7890250],\n",
+       "      shape=(5490,))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-2016d4f2-b7ff-4ef7-8bfa-326bc8936271' class='xr-section-summary-in' type='checkbox'  checked><label for='section-2016d4f2-b7ff-4ef7-8bfa-326bc8936271' class='xr-section-summary' >Data variables: <span>(6)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>b05</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(915, 915), meta=np.ndarray&gt;</div><input id='attrs-41501afa-1f89-47ea-89bc-3407b1617365' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-41501afa-1f89-47ea-89bc-3407b1617365' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3d309ec5-06e3-4acb-bbfd-28195055788c' class='xr-var-data-in' type='checkbox'><label for='data-3d309ec5-06e3-4acb-bbfd-28195055788c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;dtype&#x27;: &#x27;&lt;u1&#x27;, &#x27;long_name&#x27;: &#x27;detector footprint mask provided in the final reference frame (ground geometry). 0 = no detector, 1-12 = detector 1-12&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u1</dd><dt><span>long_name :</span></dt><dd>detector footprint mask provided in the final reference frame (ground geometry). 0 = no detector, 1-12 = detector 1-12</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 7890240.0, 609780.0, 8000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32625</dd><dt><span>proj:shape :</span></dt><dd>[5490, 5490]</dd><dt><span>proj:transform :</span></dt><dd>[20.0, 0.0, 499980.0, 0.0, -20.0, 8000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 25N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,-33],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32625&quot;]]</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -25386,7 +24380,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b06</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(915, 915), meta=np.ndarray&gt;</div><input id='attrs-6b3628b9-f1f2-4a2c-8a6f-ab037499095c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6b3628b9-f1f2-4a2c-8a6f-ab037499095c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ddca780f-be2c-4238-88f6-fae86c7fb466' class='xr-var-data-in' type='checkbox'><label for='data-ddca780f-be2c-4238-88f6-fae86c7fb466' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;]}</dd><dt><span>dtype :</span></dt><dd>&lt;u1</dd><dt><span>long_name :</span></dt><dd>detector footprint mask provided in the final reference frame (ground geometry). 0 = no detector, 1-12 = detector 1-12</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 5190240.0, 609780.0, 5300040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32632</dd><dt><span>proj:shape :</span></dt><dd>[5490, 5490]</dd><dt><span>proj:transform :</span></dt><dd>[20.0, 0.0, 499980.0, 0.0, -20.0, 5300040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 32N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,9],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32632&quot;]]</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b06</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(915, 915), meta=np.ndarray&gt;</div><input id='attrs-0520d48e-cbbb-4838-a03d-c1dc1e472968' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0520d48e-cbbb-4838-a03d-c1dc1e472968' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1f1ab9a6-0aff-4428-beee-533c93e40e39' class='xr-var-data-in' type='checkbox'><label for='data-1f1ab9a6-0aff-4428-beee-533c93e40e39' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;dtype&#x27;: &#x27;&lt;u1&#x27;, &#x27;long_name&#x27;: &#x27;detector footprint mask provided in the final reference frame (ground geometry). 0 = no detector, 1-12 = detector 1-12&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u1</dd><dt><span>long_name :</span></dt><dd>detector footprint mask provided in the final reference frame (ground geometry). 0 = no detector, 1-12 = detector 1-12</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 7890240.0, 609780.0, 8000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32625</dd><dt><span>proj:shape :</span></dt><dd>[5490, 5490]</dd><dt><span>proj:transform :</span></dt><dd>[20.0, 0.0, 499980.0, 0.0, -20.0, 8000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 25N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,-33],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32625&quot;]]</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -25451,7 +24445,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b07</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(915, 915), meta=np.ndarray&gt;</div><input id='attrs-538ed75e-57b3-4e78-b43f-1ce51419d526' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-538ed75e-57b3-4e78-b43f-1ce51419d526' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8c979c9f-7bcd-4373-8852-62910660e200' class='xr-var-data-in' type='checkbox'><label for='data-8c979c9f-7bcd-4373-8852-62910660e200' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;]}</dd><dt><span>dtype :</span></dt><dd>&lt;u1</dd><dt><span>long_name :</span></dt><dd>detector footprint mask provided in the final reference frame (ground geometry). 0 = no detector, 1-12 = detector 1-12</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 5190240.0, 609780.0, 5300040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32632</dd><dt><span>proj:shape :</span></dt><dd>[5490, 5490]</dd><dt><span>proj:transform :</span></dt><dd>[20.0, 0.0, 499980.0, 0.0, -20.0, 5300040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 32N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,9],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32632&quot;]]</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b07</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(915, 915), meta=np.ndarray&gt;</div><input id='attrs-ff408d40-64c4-4c4e-9036-fbd5c4b90606' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ff408d40-64c4-4c4e-9036-fbd5c4b90606' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f52f602a-ca84-4ab0-b6c5-e2ce8e2e0379' class='xr-var-data-in' type='checkbox'><label for='data-f52f602a-ca84-4ab0-b6c5-e2ce8e2e0379' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;dtype&#x27;: &#x27;&lt;u1&#x27;, &#x27;long_name&#x27;: &#x27;detector footprint mask provided in the final reference frame (ground geometry). 0 = no detector, 1-12 = detector 1-12&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u1</dd><dt><span>long_name :</span></dt><dd>detector footprint mask provided in the final reference frame (ground geometry). 0 = no detector, 1-12 = detector 1-12</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 7890240.0, 609780.0, 8000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32625</dd><dt><span>proj:shape :</span></dt><dd>[5490, 5490]</dd><dt><span>proj:transform :</span></dt><dd>[20.0, 0.0, 499980.0, 0.0, -20.0, 8000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 25N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,-33],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32625&quot;]]</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -25516,7 +24510,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b11</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(915, 915), meta=np.ndarray&gt;</div><input id='attrs-f7eb0d44-e4a0-4f3c-a6c6-3f9fd87edb81' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f7eb0d44-e4a0-4f3c-a6c6-3f9fd87edb81' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3091c5d2-6f29-4023-a26c-6630ca9e420f' class='xr-var-data-in' type='checkbox'><label for='data-3091c5d2-6f29-4023-a26c-6630ca9e420f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;]}</dd><dt><span>dtype :</span></dt><dd>&lt;u1</dd><dt><span>long_name :</span></dt><dd>detector footprint mask provided in the final reference frame (ground geometry). 0 = no detector, 1-12 = detector 1-12</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 5190240.0, 609780.0, 5300040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32632</dd><dt><span>proj:shape :</span></dt><dd>[5490, 5490]</dd><dt><span>proj:transform :</span></dt><dd>[20.0, 0.0, 499980.0, 0.0, -20.0, 5300040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 32N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,9],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32632&quot;]]</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b11</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(915, 915), meta=np.ndarray&gt;</div><input id='attrs-bad61b7d-c782-44be-82f6-ed74a126682c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bad61b7d-c782-44be-82f6-ed74a126682c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6fe0c793-972d-46ec-8103-436d4800af00' class='xr-var-data-in' type='checkbox'><label for='data-6fe0c793-972d-46ec-8103-436d4800af00' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;dtype&#x27;: &#x27;&lt;u1&#x27;, &#x27;long_name&#x27;: &#x27;detector footprint mask provided in the final reference frame (ground geometry). 0 = no detector, 1-12 = detector 1-12&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u1</dd><dt><span>long_name :</span></dt><dd>detector footprint mask provided in the final reference frame (ground geometry). 0 = no detector, 1-12 = detector 1-12</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 7890240.0, 609780.0, 8000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32625</dd><dt><span>proj:shape :</span></dt><dd>[5490, 5490]</dd><dt><span>proj:transform :</span></dt><dd>[20.0, 0.0, 499980.0, 0.0, -20.0, 8000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 25N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,-33],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32625&quot;]]</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -25581,7 +24575,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b12</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(915, 915), meta=np.ndarray&gt;</div><input id='attrs-7e6f66e5-5665-424d-a901-191add43ca2c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7e6f66e5-5665-424d-a901-191add43ca2c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f379e5e1-6042-4d54-8b4e-f6e9b57ec163' class='xr-var-data-in' type='checkbox'><label for='data-f379e5e1-6042-4d54-8b4e-f6e9b57ec163' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;]}</dd><dt><span>dtype :</span></dt><dd>&lt;u1</dd><dt><span>long_name :</span></dt><dd>detector footprint mask provided in the final reference frame (ground geometry). 0 = no detector, 1-12 = detector 1-12</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 5190240.0, 609780.0, 5300040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32632</dd><dt><span>proj:shape :</span></dt><dd>[5490, 5490]</dd><dt><span>proj:transform :</span></dt><dd>[20.0, 0.0, 499980.0, 0.0, -20.0, 5300040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 32N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,9],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32632&quot;]]</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b12</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(915, 915), meta=np.ndarray&gt;</div><input id='attrs-91d2bd43-48f6-4084-a2c6-c609298220fe' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-91d2bd43-48f6-4084-a2c6-c609298220fe' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4e3a2503-d5d7-4d82-8b88-eb8ada6bc063' class='xr-var-data-in' type='checkbox'><label for='data-4e3a2503-d5d7-4d82-8b88-eb8ada6bc063' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;dtype&#x27;: &#x27;&lt;u1&#x27;, &#x27;long_name&#x27;: &#x27;detector footprint mask provided in the final reference frame (ground geometry). 0 = no detector, 1-12 = detector 1-12&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u1</dd><dt><span>long_name :</span></dt><dd>detector footprint mask provided in the final reference frame (ground geometry). 0 = no detector, 1-12 = detector 1-12</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 7890240.0, 609780.0, 8000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32625</dd><dt><span>proj:shape :</span></dt><dd>[5490, 5490]</dd><dt><span>proj:transform :</span></dt><dd>[20.0, 0.0, 499980.0, 0.0, -20.0, 8000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 25N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,-33],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32625&quot;]]</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -25646,7 +24640,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b8a</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(915, 915), meta=np.ndarray&gt;</div><input id='attrs-02a125e3-83a6-4376-b215-0f5552456a3c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-02a125e3-83a6-4376-b215-0f5552456a3c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f1745c19-06a5-41d1-a0c7-ee0306ce4624' class='xr-var-data-in' type='checkbox'><label for='data-f1745c19-06a5-41d1-a0c7-ee0306ce4624' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;]}</dd><dt><span>dtype :</span></dt><dd>&lt;u1</dd><dt><span>long_name :</span></dt><dd>detector footprint mask provided in the final reference frame (ground geometry). 0 = no detector, 1-12 = detector 1-12</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 5190240.0, 609780.0, 5300040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32632</dd><dt><span>proj:shape :</span></dt><dd>[5490, 5490]</dd><dt><span>proj:transform :</span></dt><dd>[20.0, 0.0, 499980.0, 0.0, -20.0, 5300040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 32N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,9],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32632&quot;]]</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b8a</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(915, 915), meta=np.ndarray&gt;</div><input id='attrs-7a6682cb-3d1e-43c5-acb5-d6b0e98937c0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7a6682cb-3d1e-43c5-acb5-d6b0e98937c0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-07e78317-6cef-4018-8b38-978379b45c31' class='xr-var-data-in' type='checkbox'><label for='data-07e78317-6cef-4018-8b38-978379b45c31' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;dtype&#x27;: &#x27;&lt;u1&#x27;, &#x27;long_name&#x27;: &#x27;detector footprint mask provided in the final reference frame (ground geometry). 0 = no detector, 1-12 = detector 1-12&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u1</dd><dt><span>long_name :</span></dt><dd>detector footprint mask provided in the final reference frame (ground geometry). 0 = no detector, 1-12 = detector 1-12</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 7890240.0, 609780.0, 8000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32625</dd><dt><span>proj:shape :</span></dt><dd>[5490, 5490]</dd><dt><span>proj:transform :</span></dt><dd>[20.0, 0.0, 499980.0, 0.0, -20.0, 8000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 25N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,-33],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32625&quot;]]</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -25711,7 +24705,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-1417c252-8326-4e0a-ace9-09fef061bc9a' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-1417c252-8326-4e0a-ace9-09fef061bc9a' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div><div style='display: inline-grid; grid-template-columns: 0px 20px auto; width: 100%;'><div style='grid-column-start: 1;border-right: 0.2em solid;border-color: var(--xr-border-color);height: 1.2em;width: 0px;'></div><div style='grid-column-start: 2;grid-row-start: 1;height: 1em;width: 20px;border-bottom: 0.2em solid;border-color: var(--xr-border-color);'></div><div style='grid-column-start: 3;'><div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
+       "</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-e697fe38-f8bb-418e-bb28-e5a8f6685a35' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-e697fe38-f8bb-418e-bb28-e5a8f6685a35' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div><div style='display: inline-grid; grid-template-columns: 0px 20px auto; width: 100%;'><div style='grid-column-start: 1;border-right: 0.2em solid;border-color: var(--xr-border-color);height: 1.2em;width: 0px;'></div><div style='grid-column-start: 2;grid-row-start: 1;height: 1em;width: 20px;border-bottom: 0.2em solid;border-color: var(--xr-border-color);'></div><div style='grid-column-start: 3;'><div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
        "<defs>\n",
        "<symbol id=\"icon-database\" viewBox=\"0 0 32 32\">\n",
        "<path d=\"M16 0c-8.837 0-16 2.239-16 5v4c0 2.761 7.163 5 16 5s16-2.239 16-5v-4c0-2.761-7.163-5-16-5z\"></path>\n",
@@ -26085,11 +25079,12 @@
        "Dimensions:  (y: 1830, x: 1830)\n",
        "Coordinates:\n",
        "  * x        (x) int64 15kB 500010 500070 500130 500190 ... 609630 609690 609750\n",
-       "  * y        (y) int64 15kB 5300010 5299950 5299890 ... 5190390 5190330 5190270\n",
+       "  * y        (y) int64 15kB 8000010 7999950 7999890 ... 7890390 7890330 7890270\n",
        "Data variables:\n",
        "    b01      (y, x) uint8 3MB dask.array&lt;chunksize=(305, 305), meta=np.ndarray&gt;\n",
        "    b09      (y, x) uint8 3MB dask.array&lt;chunksize=(305, 305), meta=np.ndarray&gt;\n",
-       "    b10      (y, x) uint8 3MB dask.array&lt;chunksize=(305, 305), meta=np.ndarray&gt;</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>r60m</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-0d74b82a-9de5-4bff-9f68-f5046527b09d' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-0d74b82a-9de5-4bff-9f68-f5046527b09d' class='xr-section-summary'  title='Expand/collapse section'>Groups: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><div style='display: inline-grid; grid-template-columns: 100%; grid-column: 1 / -1'></div></div></li><li class='xr-section-item'><input id='section-b02873dd-ae29-4fdf-8c48-2c32246d3552' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-b02873dd-ae29-4fdf-8c48-2c32246d3552' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>y</span>: 1830</li><li><span class='xr-has-index'>x</span>: 1830</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-227d0fbf-12d4-49c7-8c01-da50f7a3f686' class='xr-section-summary-in' type='checkbox'  checked><label for='section-227d0fbf-12d4-49c7-8c01-da50f7a3f686' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>500010 500070 ... 609690 609750</div><input id='attrs-fe70482c-415c-4205-931e-3fa9a4ddbebc' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-fe70482c-415c-4205-931e-3fa9a4ddbebc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e114c0b1-6e01-43cb-9855-d92904fbc28e' class='xr-var-data-in' type='checkbox'><label for='data-e114c0b1-6e01-43cb-9855-d92904fbc28e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([500010, 500070, 500130, ..., 609630, 609690, 609750])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>5300010 5299950 ... 5190330 5190270</div><input id='attrs-2716d1ad-2688-4864-821e-dab7c65aa498' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-2716d1ad-2688-4864-821e-dab7c65aa498' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-885883a9-0606-4da7-ae26-3fb1c1ea61ab' class='xr-var-data-in' type='checkbox'><label for='data-885883a9-0606-4da7-ae26-3fb1c1ea61ab' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([5300010, 5299950, 5299890, ..., 5190390, 5190330, 5190270])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-5f07fa81-5b48-426e-a288-7a2b8803c77b' class='xr-section-summary-in' type='checkbox'  checked><label for='section-5f07fa81-5b48-426e-a288-7a2b8803c77b' class='xr-section-summary' >Data variables: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>b01</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(305, 305), meta=np.ndarray&gt;</div><input id='attrs-1c6e6182-ad3f-497b-9aa9-925ebded0f8b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1c6e6182-ad3f-497b-9aa9-925ebded0f8b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5905bf9a-7a91-46ce-b3ff-81f93fa1062e' class='xr-var-data-in' type='checkbox'><label for='data-5905bf9a-7a91-46ce-b3ff-81f93fa1062e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;]}</dd><dt><span>dtype :</span></dt><dd>&lt;u1</dd><dt><span>long_name :</span></dt><dd>detector footprint mask provided in the final reference frame (ground geometry). 0 = no detector, 1-12 = detector 1-12</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 5190240.0, 609780.0, 5300040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32632</dd><dt><span>proj:shape :</span></dt><dd>[1830, 1830]</dd><dt><span>proj:transform :</span></dt><dd>[60.0, 0.0, 499980.0, 0.0, -60.0, 5300040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 32N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,9],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32632&quot;]]</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    b10      (y, x) uint8 3MB dask.array&lt;chunksize=(305, 305), meta=np.ndarray&gt;</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>r60m</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-623c8eab-b10c-427d-82ce-15943752aebe' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-623c8eab-b10c-427d-82ce-15943752aebe' class='xr-section-summary'  title='Expand/collapse section'>Groups: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><div style='display: inline-grid; grid-template-columns: 100%; grid-column: 1 / -1'></div></div></li><li class='xr-section-item'><input id='section-e3dd846b-2bca-42b2-ad94-e055dd2cb9ce' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-e3dd846b-2bca-42b2-ad94-e055dd2cb9ce' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>y</span>: 1830</li><li><span class='xr-has-index'>x</span>: 1830</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-7c23f19e-b910-4d48-a646-387fbf6d3357' class='xr-section-summary-in' type='checkbox'  checked><label for='section-7c23f19e-b910-4d48-a646-387fbf6d3357' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>500010 500070 ... 609690 609750</div><input id='attrs-0e10da19-59e8-4cbe-9bd6-e94fd50ab3c4' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-0e10da19-59e8-4cbe-9bd6-e94fd50ab3c4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8b8a2ca2-c245-45f5-bb0b-a9118cdfd5a6' class='xr-var-data-in' type='checkbox'><label for='data-8b8a2ca2-c245-45f5-bb0b-a9118cdfd5a6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([500010, 500070, 500130, ..., 609630, 609690, 609750], shape=(1830,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>8000010 7999950 ... 7890330 7890270</div><input id='attrs-463614eb-036b-421a-8305-e67ea7479c2b' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-463614eb-036b-421a-8305-e67ea7479c2b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8117dae3-1756-47ba-aa29-e71f72fcb522' class='xr-var-data-in' type='checkbox'><label for='data-8117dae3-1756-47ba-aa29-e71f72fcb522' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([8000010, 7999950, 7999890, ..., 7890390, 7890330, 7890270],\n",
+       "      shape=(1830,))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-88e2848e-c306-473d-a8c9-bd5c7e87338a' class='xr-section-summary-in' type='checkbox'  checked><label for='section-88e2848e-c306-473d-a8c9-bd5c7e87338a' class='xr-section-summary' >Data variables: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>b01</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(305, 305), meta=np.ndarray&gt;</div><input id='attrs-25eaedf9-cb28-46f1-b3f2-e0aacdc34075' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-25eaedf9-cb28-46f1-b3f2-e0aacdc34075' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b05f0fa2-8ddc-4849-8e99-8ea2d414e267' class='xr-var-data-in' type='checkbox'><label for='data-b05f0fa2-8ddc-4849-8e99-8ea2d414e267' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;dtype&#x27;: &#x27;&lt;u1&#x27;, &#x27;long_name&#x27;: &#x27;detector footprint mask provided in the final reference frame (ground geometry). 0 = no detector, 1-12 = detector 1-12&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u1</dd><dt><span>long_name :</span></dt><dd>detector footprint mask provided in the final reference frame (ground geometry). 0 = no detector, 1-12 = detector 1-12</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 7890240.0, 609780.0, 8000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32625</dd><dt><span>proj:shape :</span></dt><dd>[1830, 1830]</dd><dt><span>proj:transform :</span></dt><dd>[60.0, 0.0, 499980.0, 0.0, -60.0, 8000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 25N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,-33],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32625&quot;]]</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -26154,7 +25149,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b09</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(305, 305), meta=np.ndarray&gt;</div><input id='attrs-699e150a-f84b-4da0-9346-19ce5b3e5897' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-699e150a-f84b-4da0-9346-19ce5b3e5897' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a5624aa8-937b-40bf-94a7-07520c4a8430' class='xr-var-data-in' type='checkbox'><label for='data-a5624aa8-937b-40bf-94a7-07520c4a8430' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;]}</dd><dt><span>dtype :</span></dt><dd>&lt;u1</dd><dt><span>long_name :</span></dt><dd>detector footprint mask provided in the final reference frame (ground geometry). 0 = no detector, 1-12 = detector 1-12</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 5190240.0, 609780.0, 5300040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32632</dd><dt><span>proj:shape :</span></dt><dd>[1830, 1830]</dd><dt><span>proj:transform :</span></dt><dd>[60.0, 0.0, 499980.0, 0.0, -60.0, 5300040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 32N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,9],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32632&quot;]]</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b09</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(305, 305), meta=np.ndarray&gt;</div><input id='attrs-a7a8d328-4913-499c-9b9f-6405822e0cb5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a7a8d328-4913-499c-9b9f-6405822e0cb5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-45f369da-b086-4755-897e-a21ba7c5ac6d' class='xr-var-data-in' type='checkbox'><label for='data-45f369da-b086-4755-897e-a21ba7c5ac6d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;dtype&#x27;: &#x27;&lt;u1&#x27;, &#x27;long_name&#x27;: &#x27;detector footprint mask provided in the final reference frame (ground geometry). 0 = no detector, 1-12 = detector 1-12&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u1</dd><dt><span>long_name :</span></dt><dd>detector footprint mask provided in the final reference frame (ground geometry). 0 = no detector, 1-12 = detector 1-12</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 7890240.0, 609780.0, 8000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32625</dd><dt><span>proj:shape :</span></dt><dd>[1830, 1830]</dd><dt><span>proj:transform :</span></dt><dd>[60.0, 0.0, 499980.0, 0.0, -60.0, 8000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 25N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,-33],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32625&quot;]]</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -26219,7 +25214,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b10</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(305, 305), meta=np.ndarray&gt;</div><input id='attrs-9f573bcb-8052-4d8b-92a5-ed996ce06384' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9f573bcb-8052-4d8b-92a5-ed996ce06384' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a88941e8-4775-466f-ac0a-fa084442f39e' class='xr-var-data-in' type='checkbox'><label for='data-a88941e8-4775-466f-ac0a-fa084442f39e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;]}</dd><dt><span>dtype :</span></dt><dd>&lt;u1</dd><dt><span>long_name :</span></dt><dd>detector footprint mask provided in the final reference frame (ground geometry). 0 = no detector, 1-12 = detector 1-12</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 5190240.0, 609780.0, 5300040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32632</dd><dt><span>proj:shape :</span></dt><dd>[1830, 1830]</dd><dt><span>proj:transform :</span></dt><dd>[60.0, 0.0, 499980.0, 0.0, -60.0, 5300040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 32N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,9],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32632&quot;]]</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b10</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(305, 305), meta=np.ndarray&gt;</div><input id='attrs-037bd7e8-50c5-4743-85fe-ca5c74d817d0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-037bd7e8-50c5-4743-85fe-ca5c74d817d0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6fd0b399-bfcb-49a7-b5df-5e2e7b3b8595' class='xr-var-data-in' type='checkbox'><label for='data-6fd0b399-bfcb-49a7-b5df-5e2e7b3b8595' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;dtype&#x27;: &#x27;&lt;u1&#x27;, &#x27;long_name&#x27;: &#x27;detector footprint mask provided in the final reference frame (ground geometry). 0 = no detector, 1-12 = detector 1-12&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u1</dd><dt><span>long_name :</span></dt><dd>detector footprint mask provided in the final reference frame (ground geometry). 0 = no detector, 1-12 = detector 1-12</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 7890240.0, 609780.0, 8000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32625</dd><dt><span>proj:shape :</span></dt><dd>[1830, 1830]</dd><dt><span>proj:transform :</span></dt><dd>[60.0, 0.0, 499980.0, 0.0, -60.0, 8000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 25N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,-33],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32625&quot;]]</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -26284,7 +25279,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-86f6809b-7384-4f19-8be3-c082687a20b1' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-86f6809b-7384-4f19-8be3-c082687a20b1' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div></div></div></li><li class='xr-section-item'><input id='section-9a4a66c2-3050-4875-b1d9-c55a9454c6f3' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-9a4a66c2-3050-4875-b1d9-c55a9454c6f3' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-7ef5b71a-c06e-4f77-93c1-3d885f4ce4f7' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-7ef5b71a-c06e-4f77-93c1-3d885f4ce4f7' class='xr-section-summary'  title='Expand/collapse section'>Coordinates: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-a1cefe0e-b1e0-431c-a98f-0114f56189f0' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-a1cefe0e-b1e0-431c-a98f-0114f56189f0' class='xr-section-summary'  title='Expand/collapse section'>Data variables: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-0b4cafa6-e42c-4690-a4b4-40f68e5ab8d0' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-0b4cafa6-e42c-4690-a4b4-40f68e5ab8d0' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div><div style='display: inline-grid; grid-template-columns: 0px 20px auto; width: 100%;'><div style='grid-column-start: 1;border-right: 0.2em solid;border-color: var(--xr-border-color);height: 100%;width: 0px;'></div><div style='grid-column-start: 2;grid-row-start: 1;height: 1em;width: 20px;border-bottom: 0.2em solid;border-color: var(--xr-border-color);'></div><div style='grid-column-start: 3;'><div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
+       "</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-f87e2108-7378-42dc-b258-4b1682f1ef71' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-f87e2108-7378-42dc-b258-4b1682f1ef71' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div></div></div></li><li class='xr-section-item'><input id='section-e6b309f9-106f-484a-ac20-2f35026ac707' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-e6b309f9-106f-484a-ac20-2f35026ac707' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-8d3b0c9b-ea43-4ef3-8b5f-11b159493b61' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-8d3b0c9b-ea43-4ef3-8b5f-11b159493b61' class='xr-section-summary'  title='Expand/collapse section'>Coordinates: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-6cfc4a58-a1da-420d-8be0-4b3fc8514d1e' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-6cfc4a58-a1da-420d-8be0-4b3fc8514d1e' class='xr-section-summary'  title='Expand/collapse section'>Data variables: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-d58be839-d4b4-462b-a93d-17cca086d708' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-d58be839-d4b4-462b-a93d-17cca086d708' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div><div style='display: inline-grid; grid-template-columns: 0px 20px auto; width: 100%;'><div style='grid-column-start: 1;border-right: 0.2em solid;border-color: var(--xr-border-color);height: 100%;width: 0px;'></div><div style='grid-column-start: 2;grid-row-start: 1;height: 1em;width: 20px;border-bottom: 0.2em solid;border-color: var(--xr-border-color);'></div><div style='grid-column-start: 3;'><div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
        "<defs>\n",
        "<symbol id=\"icon-database\" viewBox=\"0 0 32 32\">\n",
        "<path d=\"M16 0c-8.837 0-16 2.239-16 5v4c0 2.761 7.163 5 16 5s16-2.239 16-5v-4c0-2.761-7.163-5-16-5z\"></path>\n",
@@ -26657,7 +25652,7 @@
        "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DatasetView&gt; Size: 0B\n",
        "Dimensions:  ()\n",
        "Data variables:\n",
-       "    *empty*</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>l1c_classification</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-704c4346-8d68-4185-b26c-55213fea63ba' class='xr-section-summary-in' type='checkbox'  ><label for='section-704c4346-8d68-4185-b26c-55213fea63ba' class='xr-section-summary' >Groups: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><div style='display: inline-grid; grid-template-columns: 100%; grid-column: 1 / -1'><div style='display: inline-grid; grid-template-columns: 0px 20px auto; width: 100%;'><div style='grid-column-start: 1;border-right: 0.2em solid;border-color: var(--xr-border-color);height: 1.2em;width: 0px;'></div><div style='grid-column-start: 2;grid-row-start: 1;height: 1em;width: 20px;border-bottom: 0.2em solid;border-color: var(--xr-border-color);'></div><div style='grid-column-start: 3;'><div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
+       "    *empty*</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>l1c_classification</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-36174c07-3cbe-4780-ad48-5b1e000b59d4' class='xr-section-summary-in' type='checkbox'  ><label for='section-36174c07-3cbe-4780-ad48-5b1e000b59d4' class='xr-section-summary' >Groups: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><div style='display: inline-grid; grid-template-columns: 100%; grid-column: 1 / -1'><div style='display: inline-grid; grid-template-columns: 0px 20px auto; width: 100%;'><div style='grid-column-start: 1;border-right: 0.2em solid;border-color: var(--xr-border-color);height: 1.2em;width: 0px;'></div><div style='grid-column-start: 2;grid-row-start: 1;height: 1em;width: 20px;border-bottom: 0.2em solid;border-color: var(--xr-border-color);'></div><div style='grid-column-start: 3;'><div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
        "<defs>\n",
        "<symbol id=\"icon-database\" viewBox=\"0 0 32 32\">\n",
        "<path d=\"M16 0c-8.837 0-16 2.239-16 5v4c0 2.761 7.163 5 16 5s16-2.239 16-5v-4c0-2.761-7.163-5-16-5z\"></path>\n",
@@ -27031,9 +26026,10 @@
        "Dimensions:  (y: 1830, x: 1830)\n",
        "Coordinates:\n",
        "  * x        (x) int64 15kB 500010 500070 500130 500190 ... 609630 609690 609750\n",
-       "  * y        (y) int64 15kB 5300010 5299950 5299890 ... 5190390 5190330 5190270\n",
+       "  * y        (y) int64 15kB 8000010 7999950 7999890 ... 7890390 7890330 7890270\n",
        "Data variables:\n",
-       "    b00      (y, x) uint8 3MB dask.array&lt;chunksize=(305, 305), meta=np.ndarray&gt;</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>r60m</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-fce818b5-2f13-4286-9835-b16f857d1499' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-fce818b5-2f13-4286-9835-b16f857d1499' class='xr-section-summary'  title='Expand/collapse section'>Groups: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><div style='display: inline-grid; grid-template-columns: 100%; grid-column: 1 / -1'></div></div></li><li class='xr-section-item'><input id='section-2a3ad236-89dd-4083-a78c-2f30ff1f67f2' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-2a3ad236-89dd-4083-a78c-2f30ff1f67f2' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>y</span>: 1830</li><li><span class='xr-has-index'>x</span>: 1830</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-d242ef1a-48ad-41e4-a49d-e5b77de3b216' class='xr-section-summary-in' type='checkbox'  checked><label for='section-d242ef1a-48ad-41e4-a49d-e5b77de3b216' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>500010 500070 ... 609690 609750</div><input id='attrs-4c624ab5-64e2-46f9-9a0e-2535cfacd1e1' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-4c624ab5-64e2-46f9-9a0e-2535cfacd1e1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bd01155a-6c32-4153-8e3c-ffb3621dc139' class='xr-var-data-in' type='checkbox'><label for='data-bd01155a-6c32-4153-8e3c-ffb3621dc139' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([500010, 500070, 500130, ..., 609630, 609690, 609750])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>5300010 5299950 ... 5190330 5190270</div><input id='attrs-b8d16f46-042c-46cc-8da5-127ee6a3dd9d' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-b8d16f46-042c-46cc-8da5-127ee6a3dd9d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fb39950f-d10d-4c03-b624-160ed1483d05' class='xr-var-data-in' type='checkbox'><label for='data-fb39950f-d10d-4c03-b624-160ed1483d05' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([5300010, 5299950, 5299890, ..., 5190390, 5190330, 5190270])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-3c531e96-8b46-4335-b027-783e8c80108e' class='xr-section-summary-in' type='checkbox'  checked><label for='section-3c531e96-8b46-4335-b027-783e8c80108e' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>b00</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(305, 305), meta=np.ndarray&gt;</div><input id='attrs-130fdaa6-bfc0-421f-822f-e8d75a896358' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-130fdaa6-bfc0-421f-822f-e8d75a896358' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3ca98cb0-63dd-4b1a-826e-95f306c0f4f9' class='xr-var-data-in' type='checkbox'><label for='data-3ca98cb0-63dd-4b1a-826e-95f306c0f4f9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;flag_masks&#x27;: [1, 2, 4], &#x27;flag_meanings&#x27;: [&#x27;OPAQUE&#x27;, &#x27;CIRRUS&#x27;, &#x27;SNOW_ICE&#x27;]}</dd><dt><span>dtype :</span></dt><dd>&lt;u1</dd><dt><span>flag_masks :</span></dt><dd>[1, 2, 4]</dd><dt><span>flag_meanings :</span></dt><dd>[&#x27;OPAQUE&#x27;, &#x27;CIRRUS&#x27;, &#x27;SNOW_ICE&#x27;]</dd><dt><span>long_name :</span></dt><dd>cloud classification mask provided in the final reference frame (ground geometry)</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 5190240.0, 609780.0, 5300040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32632</dd><dt><span>proj:shape :</span></dt><dd>[1830, 1830]</dd><dt><span>proj:transform :</span></dt><dd>[60.0, 0.0, 499980.0, 0.0, -60.0, 5300040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 32N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,9],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32632&quot;]]</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    b00      (y, x) uint8 3MB dask.array&lt;chunksize=(305, 305), meta=np.ndarray&gt;</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>r60m</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-529a2e2e-9acb-4156-8f68-54309fcc994f' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-529a2e2e-9acb-4156-8f68-54309fcc994f' class='xr-section-summary'  title='Expand/collapse section'>Groups: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><div style='display: inline-grid; grid-template-columns: 100%; grid-column: 1 / -1'></div></div></li><li class='xr-section-item'><input id='section-a8ac8c17-96d9-4b9c-96eb-255fa0d8dc76' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-a8ac8c17-96d9-4b9c-96eb-255fa0d8dc76' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>y</span>: 1830</li><li><span class='xr-has-index'>x</span>: 1830</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-7e618ffe-84de-49f8-9f07-11f3f94df7e8' class='xr-section-summary-in' type='checkbox'  checked><label for='section-7e618ffe-84de-49f8-9f07-11f3f94df7e8' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>500010 500070 ... 609690 609750</div><input id='attrs-1547847d-bd08-489b-8985-90887657b230' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-1547847d-bd08-489b-8985-90887657b230' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-364dbdd4-4310-4f62-9828-6c9461560f59' class='xr-var-data-in' type='checkbox'><label for='data-364dbdd4-4310-4f62-9828-6c9461560f59' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([500010, 500070, 500130, ..., 609630, 609690, 609750], shape=(1830,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>8000010 7999950 ... 7890330 7890270</div><input id='attrs-f404bae0-d03b-41df-aaae-dad31c0a7774' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-f404bae0-d03b-41df-aaae-dad31c0a7774' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-38289d08-6ff2-41d8-a83c-46a5c4c59880' class='xr-var-data-in' type='checkbox'><label for='data-38289d08-6ff2-41d8-a83c-46a5c4c59880' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([8000010, 7999950, 7999890, ..., 7890390, 7890330, 7890270],\n",
+       "      shape=(1830,))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-6a473341-9d2f-42e8-80d7-9f966b598b7c' class='xr-section-summary-in' type='checkbox'  checked><label for='section-6a473341-9d2f-42e8-80d7-9f966b598b7c' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>b00</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(305, 305), meta=np.ndarray&gt;</div><input id='attrs-eab3366e-fc51-4fb0-87a8-a34a9636fe74' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-eab3366e-fc51-4fb0-87a8-a34a9636fe74' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ef42ff73-fc3c-4560-9450-d1db73d80df4' class='xr-var-data-in' type='checkbox'><label for='data-ef42ff73-fc3c-4560-9450-d1db73d80df4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;dtype&#x27;: &#x27;&lt;u1&#x27;, &#x27;flag_masks&#x27;: [1, 2, 4], &#x27;flag_meanings&#x27;: [&#x27;OPAQUE&#x27;, &#x27;CIRRUS&#x27;, &#x27;SNOW_ICE&#x27;], &#x27;long_name&#x27;: &#x27;cloud classification mask provided in the final reference frame (ground geometry)&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u1</dd><dt><span>flag_masks :</span></dt><dd>[1, 2, 4]</dd><dt><span>flag_meanings :</span></dt><dd>[&#x27;OPAQUE&#x27;, &#x27;CIRRUS&#x27;, &#x27;SNOW_ICE&#x27;]</dd><dt><span>long_name :</span></dt><dd>cloud classification mask provided in the final reference frame (ground geometry)</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 7890240.0, 609780.0, 8000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32625</dd><dt><span>proj:shape :</span></dt><dd>[1830, 1830]</dd><dt><span>proj:transform :</span></dt><dd>[60.0, 0.0, 499980.0, 0.0, -60.0, 8000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 25N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,-33],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32625&quot;]]</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -27098,7 +26094,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-2c42e982-c735-4c62-b979-192f9b872c89' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-2c42e982-c735-4c62-b979-192f9b872c89' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div></div></div></li><li class='xr-section-item'><input id='section-f80a42f6-02f0-49ac-8fc8-38f3b464e228' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-f80a42f6-02f0-49ac-8fc8-38f3b464e228' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-68ed1670-1f4f-4b36-a150-5d421ac2de3c' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-68ed1670-1f4f-4b36-a150-5d421ac2de3c' class='xr-section-summary'  title='Expand/collapse section'>Coordinates: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-ec3d8322-7cf6-4eea-8f4c-21aef66b0b16' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-ec3d8322-7cf6-4eea-8f4c-21aef66b0b16' class='xr-section-summary'  title='Expand/collapse section'>Data variables: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-4e69a170-568e-47d7-8c32-05438e3117d9' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-4e69a170-568e-47d7-8c32-05438e3117d9' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div><div style='display: inline-grid; grid-template-columns: 0px 20px auto; width: 100%;'><div style='grid-column-start: 1;border-right: 0.2em solid;border-color: var(--xr-border-color);height: 1.2em;width: 0px;'></div><div style='grid-column-start: 2;grid-row-start: 1;height: 1em;width: 20px;border-bottom: 0.2em solid;border-color: var(--xr-border-color);'></div><div style='grid-column-start: 3;'><div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
+       "</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-3d12cfe2-950c-4da9-b435-281c2b5d4039' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-3d12cfe2-950c-4da9-b435-281c2b5d4039' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div></div></div></li><li class='xr-section-item'><input id='section-12024073-ab43-4dfc-b125-44f60cf079d1' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-12024073-ab43-4dfc-b125-44f60cf079d1' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-ace0d802-1dd2-45c6-98e2-bc4d0802f66d' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-ace0d802-1dd2-45c6-98e2-bc4d0802f66d' class='xr-section-summary'  title='Expand/collapse section'>Coordinates: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-d559ab6e-267e-4b1d-a141-0b06e6ed11c3' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-d559ab6e-267e-4b1d-a141-0b06e6ed11c3' class='xr-section-summary'  title='Expand/collapse section'>Data variables: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-6cd9c1df-e959-454e-872d-1c0e04581601' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-6cd9c1df-e959-454e-872d-1c0e04581601' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div><div style='display: inline-grid; grid-template-columns: 0px 20px auto; width: 100%;'><div style='grid-column-start: 1;border-right: 0.2em solid;border-color: var(--xr-border-color);height: 1.2em;width: 0px;'></div><div style='grid-column-start: 2;grid-row-start: 1;height: 1em;width: 20px;border-bottom: 0.2em solid;border-color: var(--xr-border-color);'></div><div style='grid-column-start: 3;'><div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
        "<defs>\n",
        "<symbol id=\"icon-database\" viewBox=\"0 0 32 32\">\n",
        "<path d=\"M16 0c-8.837 0-16 2.239-16 5v4c0 2.761 7.163 5 16 5s16-2.239 16-5v-4c0-2.761-7.163-5-16-5z\"></path>\n",
@@ -27471,7 +26467,7 @@
        "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DatasetView&gt; Size: 0B\n",
        "Dimensions:  ()\n",
        "Data variables:\n",
-       "    *empty*</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>l2a_classification</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-92a9f83f-88ff-4615-b95c-e58f1fa28cec' class='xr-section-summary-in' type='checkbox'  ><label for='section-92a9f83f-88ff-4615-b95c-e58f1fa28cec' class='xr-section-summary' >Groups: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><div style='display: inline-grid; grid-template-columns: 100%; grid-column: 1 / -1'><div style='display: inline-grid; grid-template-columns: 0px 20px auto; width: 100%;'><div style='grid-column-start: 1;border-right: 0.2em solid;border-color: var(--xr-border-color);height: 100%;width: 0px;'></div><div style='grid-column-start: 2;grid-row-start: 1;height: 1em;width: 20px;border-bottom: 0.2em solid;border-color: var(--xr-border-color);'></div><div style='grid-column-start: 3;'><div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
+       "    *empty*</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>l2a_classification</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-fc35f258-6b2c-47c8-9148-44968108500f' class='xr-section-summary-in' type='checkbox'  ><label for='section-fc35f258-6b2c-47c8-9148-44968108500f' class='xr-section-summary' >Groups: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><div style='display: inline-grid; grid-template-columns: 100%; grid-column: 1 / -1'><div style='display: inline-grid; grid-template-columns: 0px 20px auto; width: 100%;'><div style='grid-column-start: 1;border-right: 0.2em solid;border-color: var(--xr-border-color);height: 100%;width: 0px;'></div><div style='grid-column-start: 2;grid-row-start: 1;height: 1em;width: 20px;border-bottom: 0.2em solid;border-color: var(--xr-border-color);'></div><div style='grid-column-start: 3;'><div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
        "<defs>\n",
        "<symbol id=\"icon-database\" viewBox=\"0 0 32 32\">\n",
        "<path d=\"M16 0c-8.837 0-16 2.239-16 5v4c0 2.761 7.163 5 16 5s16-2.239 16-5v-4c0-2.761-7.163-5-16-5z\"></path>\n",
@@ -27845,9 +26841,10 @@
        "Dimensions:  (y: 5490, x: 5490)\n",
        "Coordinates:\n",
        "  * x        (x) int64 44kB 499990 500010 500030 500050 ... 609730 609750 609770\n",
-       "  * y        (y) int64 44kB 5300030 5300010 5299990 ... 5190290 5190270 5190250\n",
+       "  * y        (y) int64 44kB 8000030 8000010 7999990 ... 7890290 7890270 7890250\n",
        "Data variables:\n",
-       "    scl      (y, x) uint8 30MB dask.array&lt;chunksize=(915, 915), meta=np.ndarray&gt;</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>r20m</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-240c18eb-2465-4400-803c-163dd63228c4' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-240c18eb-2465-4400-803c-163dd63228c4' class='xr-section-summary'  title='Expand/collapse section'>Groups: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><div style='display: inline-grid; grid-template-columns: 100%; grid-column: 1 / -1'></div></div></li><li class='xr-section-item'><input id='section-a0ca23d5-d6b4-488c-894c-c635311e0f7b' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-a0ca23d5-d6b4-488c-894c-c635311e0f7b' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>y</span>: 5490</li><li><span class='xr-has-index'>x</span>: 5490</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-244ac595-d359-4509-84c7-120bf828698c' class='xr-section-summary-in' type='checkbox'  checked><label for='section-244ac595-d359-4509-84c7-120bf828698c' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>499990 500010 ... 609750 609770</div><input id='attrs-17546a7a-3846-423c-a957-f6639886be7f' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-17546a7a-3846-423c-a957-f6639886be7f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-55d6336c-d5c3-43c9-a57c-c140990d16b6' class='xr-var-data-in' type='checkbox'><label for='data-55d6336c-d5c3-43c9-a57c-c140990d16b6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([499990, 500010, 500030, ..., 609730, 609750, 609770])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>5300030 5300010 ... 5190270 5190250</div><input id='attrs-e45a567d-4799-45df-8162-60ab6d8c1904' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-e45a567d-4799-45df-8162-60ab6d8c1904' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d93600c7-6f03-4135-b746-e00136e186a3' class='xr-var-data-in' type='checkbox'><label for='data-d93600c7-6f03-4135-b746-e00136e186a3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([5300030, 5300010, 5299990, ..., 5190290, 5190270, 5190250])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-b3f03034-76e5-4979-bf20-f011084710e5' class='xr-section-summary-in' type='checkbox'  checked><label for='section-b3f03034-76e5-4979-bf20-f011084710e5' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>scl</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(915, 915), meta=np.ndarray&gt;</div><input id='attrs-9eb08b66-6399-4c40-a547-fcb3107e007a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9eb08b66-6399-4c40-a547-fcb3107e007a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-527531c1-110d-4fdb-88ba-41b57e2e608d' class='xr-var-data-in' type='checkbox'><label for='data-527531c1-110d-4fdb-88ba-41b57e2e608d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;]}</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 5190240.0, 609780.0, 5300040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32632</dd><dt><span>proj:shape :</span></dt><dd>[5490, 5490]</dd><dt><span>proj:transform :</span></dt><dd>[20.0, 0.0, 499980.0, 0.0, -20.0, 5300040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 32N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,9],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32632&quot;]]</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    scl      (y, x) uint8 30MB dask.array&lt;chunksize=(915, 915), meta=np.ndarray&gt;</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>r20m</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-34867a0e-08f6-4295-91e8-78b41fcaf6ca' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-34867a0e-08f6-4295-91e8-78b41fcaf6ca' class='xr-section-summary'  title='Expand/collapse section'>Groups: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><div style='display: inline-grid; grid-template-columns: 100%; grid-column: 1 / -1'></div></div></li><li class='xr-section-item'><input id='section-37710fac-2a8c-4b44-93b6-f925cff51c9b' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-37710fac-2a8c-4b44-93b6-f925cff51c9b' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>y</span>: 5490</li><li><span class='xr-has-index'>x</span>: 5490</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-96dc1a4b-9932-43f4-9a8b-a8959f647768' class='xr-section-summary-in' type='checkbox'  checked><label for='section-96dc1a4b-9932-43f4-9a8b-a8959f647768' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>499990 500010 ... 609750 609770</div><input id='attrs-fa24ec01-0323-426c-8d4c-ae9542550ac4' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-fa24ec01-0323-426c-8d4c-ae9542550ac4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2cf686fd-f41d-42cd-912f-13828b7084e2' class='xr-var-data-in' type='checkbox'><label for='data-2cf686fd-f41d-42cd-912f-13828b7084e2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([499990, 500010, 500030, ..., 609730, 609750, 609770], shape=(5490,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>8000030 8000010 ... 7890270 7890250</div><input id='attrs-ce152fd9-e94f-403d-81a8-a58fa90f226f' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-ce152fd9-e94f-403d-81a8-a58fa90f226f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b78a233b-0004-4752-be14-ea177d295b2d' class='xr-var-data-in' type='checkbox'><label for='data-b78a233b-0004-4752-be14-ea177d295b2d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([8000030, 8000010, 7999990, ..., 7890290, 7890270, 7890250],\n",
+       "      shape=(5490,))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-d3345ff9-cad2-4f07-bd81-d6f4a8ba92bc' class='xr-section-summary-in' type='checkbox'  checked><label for='section-d3345ff9-cad2-4f07-bd81-d6f4a8ba92bc' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>scl</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(915, 915), meta=np.ndarray&gt;</div><input id='attrs-7ab4d8fe-b233-455e-92a0-beb9a80692a6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7ab4d8fe-b233-455e-92a0-beb9a80692a6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-060bf3e5-8356-4b84-98b9-cb5d02628b2e' class='xr-var-data-in' type='checkbox'><label for='data-060bf3e5-8356-4b84-98b9-cb5d02628b2e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;]}</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 7890240.0, 609780.0, 8000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32625</dd><dt><span>proj:shape :</span></dt><dd>[5490, 5490]</dd><dt><span>proj:transform :</span></dt><dd>[20.0, 0.0, 499980.0, 0.0, -20.0, 8000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 25N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,-33],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32625&quot;]]</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -27912,7 +26909,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-bd0af9af-c6ce-48fa-8a11-5e90504dafe6' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-bd0af9af-c6ce-48fa-8a11-5e90504dafe6' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div><div style='display: inline-grid; grid-template-columns: 0px 20px auto; width: 100%;'><div style='grid-column-start: 1;border-right: 0.2em solid;border-color: var(--xr-border-color);height: 1.2em;width: 0px;'></div><div style='grid-column-start: 2;grid-row-start: 1;height: 1em;width: 20px;border-bottom: 0.2em solid;border-color: var(--xr-border-color);'></div><div style='grid-column-start: 3;'><div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
+       "</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-ad4b32dd-0e0e-460a-b1bc-c399ddb03c69' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-ad4b32dd-0e0e-460a-b1bc-c399ddb03c69' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div><div style='display: inline-grid; grid-template-columns: 0px 20px auto; width: 100%;'><div style='grid-column-start: 1;border-right: 0.2em solid;border-color: var(--xr-border-color);height: 1.2em;width: 0px;'></div><div style='grid-column-start: 2;grid-row-start: 1;height: 1em;width: 20px;border-bottom: 0.2em solid;border-color: var(--xr-border-color);'></div><div style='grid-column-start: 3;'><div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
        "<defs>\n",
        "<symbol id=\"icon-database\" viewBox=\"0 0 32 32\">\n",
        "<path d=\"M16 0c-8.837 0-16 2.239-16 5v4c0 2.761 7.163 5 16 5s16-2.239 16-5v-4c0-2.761-7.163-5-16-5z\"></path>\n",
@@ -28286,9 +27283,10 @@
        "Dimensions:  (y: 1830, x: 1830)\n",
        "Coordinates:\n",
        "  * x        (x) int64 15kB 500010 500070 500130 500190 ... 609630 609690 609750\n",
-       "  * y        (y) int64 15kB 5300010 5299950 5299890 ... 5190390 5190330 5190270\n",
+       "  * y        (y) int64 15kB 8000010 7999950 7999890 ... 7890390 7890330 7890270\n",
        "Data variables:\n",
-       "    scl      (y, x) uint8 3MB dask.array&lt;chunksize=(305, 305), meta=np.ndarray&gt;</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>r60m</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-66859352-024c-4c0b-a36f-d9088646ff59' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-66859352-024c-4c0b-a36f-d9088646ff59' class='xr-section-summary'  title='Expand/collapse section'>Groups: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><div style='display: inline-grid; grid-template-columns: 100%; grid-column: 1 / -1'></div></div></li><li class='xr-section-item'><input id='section-d9a7f619-ab97-443c-a069-3661dbefb7dd' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-d9a7f619-ab97-443c-a069-3661dbefb7dd' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>y</span>: 1830</li><li><span class='xr-has-index'>x</span>: 1830</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-17438cce-9247-4962-af38-9188e64800a9' class='xr-section-summary-in' type='checkbox'  checked><label for='section-17438cce-9247-4962-af38-9188e64800a9' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>500010 500070 ... 609690 609750</div><input id='attrs-98f66779-e4f5-445c-9ff4-54896095c8a0' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-98f66779-e4f5-445c-9ff4-54896095c8a0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a015648e-1074-45e8-a130-42770cc4f108' class='xr-var-data-in' type='checkbox'><label for='data-a015648e-1074-45e8-a130-42770cc4f108' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([500010, 500070, 500130, ..., 609630, 609690, 609750])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>5300010 5299950 ... 5190330 5190270</div><input id='attrs-a82e8912-963f-4ae0-afb3-8d160111eec9' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-a82e8912-963f-4ae0-afb3-8d160111eec9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cb9f657c-dc37-4efc-8ed4-1de01ea20249' class='xr-var-data-in' type='checkbox'><label for='data-cb9f657c-dc37-4efc-8ed4-1de01ea20249' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([5300010, 5299950, 5299890, ..., 5190390, 5190330, 5190270])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-850c88c7-fcc2-4815-b314-cb4550871326' class='xr-section-summary-in' type='checkbox'  checked><label for='section-850c88c7-fcc2-4815-b314-cb4550871326' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>scl</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(305, 305), meta=np.ndarray&gt;</div><input id='attrs-9dbe07a9-0869-4257-a932-6ac3e10184ee' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9dbe07a9-0869-4257-a932-6ac3e10184ee' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c25a2dad-d45d-4a4a-8abd-5c4d3ac9f282' class='xr-var-data-in' type='checkbox'><label for='data-c25a2dad-d45d-4a4a-8abd-5c4d3ac9f282' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;]}</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 5190240.0, 609780.0, 5300040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32632</dd><dt><span>proj:shape :</span></dt><dd>[1830, 1830]</dd><dt><span>proj:transform :</span></dt><dd>[60.0, 0.0, 499980.0, 0.0, -60.0, 5300040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 32N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,9],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32632&quot;]]</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    scl      (y, x) uint8 3MB dask.array&lt;chunksize=(305, 305), meta=np.ndarray&gt;</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>r60m</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-8cdb8b2f-c12d-4715-a2fa-e2fe587046f1' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-8cdb8b2f-c12d-4715-a2fa-e2fe587046f1' class='xr-section-summary'  title='Expand/collapse section'>Groups: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><div style='display: inline-grid; grid-template-columns: 100%; grid-column: 1 / -1'></div></div></li><li class='xr-section-item'><input id='section-2b92a202-310a-4968-a21d-bd24d9d4a498' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-2b92a202-310a-4968-a21d-bd24d9d4a498' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>y</span>: 1830</li><li><span class='xr-has-index'>x</span>: 1830</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-56d104b5-1811-4c84-9cb9-02cae9c2cede' class='xr-section-summary-in' type='checkbox'  checked><label for='section-56d104b5-1811-4c84-9cb9-02cae9c2cede' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>500010 500070 ... 609690 609750</div><input id='attrs-ae8268b6-4361-4d32-802b-cca267d2a9fe' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-ae8268b6-4361-4d32-802b-cca267d2a9fe' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d5b6b83a-ef57-43a1-ac52-4db4c54416a3' class='xr-var-data-in' type='checkbox'><label for='data-d5b6b83a-ef57-43a1-ac52-4db4c54416a3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([500010, 500070, 500130, ..., 609630, 609690, 609750], shape=(1830,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>8000010 7999950 ... 7890330 7890270</div><input id='attrs-984b813d-529e-4295-a851-ffb7fd8a10d7' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-984b813d-529e-4295-a851-ffb7fd8a10d7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-eb0b1e5f-ca49-496f-a5ec-602faef4feee' class='xr-var-data-in' type='checkbox'><label for='data-eb0b1e5f-ca49-496f-a5ec-602faef4feee' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([8000010, 7999950, 7999890, ..., 7890390, 7890330, 7890270],\n",
+       "      shape=(1830,))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-d9570321-c9fa-4850-9392-614b8edbde40' class='xr-section-summary-in' type='checkbox'  checked><label for='section-d9570321-c9fa-4850-9392-614b8edbde40' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>scl</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(305, 305), meta=np.ndarray&gt;</div><input id='attrs-c7da013a-11de-4fff-bb2a-d14ef48db45a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c7da013a-11de-4fff-bb2a-d14ef48db45a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5f284ff2-0284-4c74-b25e-00e005ce6f06' class='xr-var-data-in' type='checkbox'><label for='data-5f284ff2-0284-4c74-b25e-00e005ce6f06' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;]}</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 7890240.0, 609780.0, 8000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32625</dd><dt><span>proj:shape :</span></dt><dd>[1830, 1830]</dd><dt><span>proj:transform :</span></dt><dd>[60.0, 0.0, 499980.0, 0.0, -60.0, 8000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 25N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,-33],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32625&quot;]]</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -28353,7 +27351,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-7fb0b62c-532f-451f-b968-821f7690a824' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-7fb0b62c-532f-451f-b968-821f7690a824' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div></div></div></li><li class='xr-section-item'><input id='section-35e4015a-3637-4c47-a02b-8a43582d4fe3' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-35e4015a-3637-4c47-a02b-8a43582d4fe3' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-d1b82aae-e7d3-4cef-a108-70ac09a33514' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-d1b82aae-e7d3-4cef-a108-70ac09a33514' class='xr-section-summary'  title='Expand/collapse section'>Coordinates: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-7f43a209-0703-4e80-9526-8510d8be24d7' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-7f43a209-0703-4e80-9526-8510d8be24d7' class='xr-section-summary'  title='Expand/collapse section'>Data variables: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-0452b7d0-ca41-4520-a1f3-b7cdd39090a4' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-0452b7d0-ca41-4520-a1f3-b7cdd39090a4' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div></div></div></li><li class='xr-section-item'><input id='section-0388d078-7944-4eb1-acd1-702711c30040' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-0388d078-7944-4eb1-acd1-702711c30040' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-763ca1f4-ab9d-4bc5-9dec-f8be226b390b' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-763ca1f4-ab9d-4bc5-9dec-f8be226b390b' class='xr-section-summary'  title='Expand/collapse section'>Coordinates: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-e5f22f17-960f-450c-bfd8-aa209dac07e2' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-e5f22f17-960f-450c-bfd8-aa209dac07e2' class='xr-section-summary'  title='Expand/collapse section'>Data variables: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-ae418902-b767-43cb-b938-f0861ef3406e' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-ae418902-b767-43cb-b938-f0861ef3406e' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div><div style='display: inline-grid; grid-template-columns: 0px 20px auto; width: 100%;'><div style='grid-column-start: 1;border-right: 0.2em solid;border-color: var(--xr-border-color);height: 1.2em;width: 0px;'></div><div style='grid-column-start: 2;grid-row-start: 1;height: 1em;width: 20px;border-bottom: 0.2em solid;border-color: var(--xr-border-color);'></div><div style='grid-column-start: 3;'><div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
+       "</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-479d96e5-5c74-48c0-96bc-836d958b3594' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-479d96e5-5c74-48c0-96bc-836d958b3594' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div></div></div></li><li class='xr-section-item'><input id='section-f0f5cad0-8251-416f-bc08-76651da952e8' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-f0f5cad0-8251-416f-bc08-76651da952e8' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-2f0c30c0-1bf3-4422-af0e-5d46dc8c7889' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-2f0c30c0-1bf3-4422-af0e-5d46dc8c7889' class='xr-section-summary'  title='Expand/collapse section'>Coordinates: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-fceaee2f-53a1-4367-af18-fc2d1e02109c' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-fceaee2f-53a1-4367-af18-fc2d1e02109c' class='xr-section-summary'  title='Expand/collapse section'>Data variables: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-8995d444-0935-4f6d-91cc-c89a69fc3e82' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-8995d444-0935-4f6d-91cc-c89a69fc3e82' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div></div></div></li><li class='xr-section-item'><input id='section-fe3dbf92-abb2-403d-a8d6-1a02a61ffdcf' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-fe3dbf92-abb2-403d-a8d6-1a02a61ffdcf' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-5a25fb8d-3153-40d5-8f66-c732c379a028' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-5a25fb8d-3153-40d5-8f66-c732c379a028' class='xr-section-summary'  title='Expand/collapse section'>Coordinates: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-49bed348-1c5a-4108-8a1b-7bfbe84c3bc0' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-49bed348-1c5a-4108-8a1b-7bfbe84c3bc0' class='xr-section-summary'  title='Expand/collapse section'>Data variables: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-afc75b8a-88a4-475b-b5b4-a2f1e7241f4b' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-afc75b8a-88a4-475b-b5b4-a2f1e7241f4b' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div><div style='display: inline-grid; grid-template-columns: 0px 20px auto; width: 100%;'><div style='grid-column-start: 1;border-right: 0.2em solid;border-color: var(--xr-border-color);height: 1.2em;width: 0px;'></div><div style='grid-column-start: 2;grid-row-start: 1;height: 1em;width: 20px;border-bottom: 0.2em solid;border-color: var(--xr-border-color);'></div><div style='grid-column-start: 3;'><div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
        "<defs>\n",
        "<symbol id=\"icon-database\" viewBox=\"0 0 32 32\">\n",
        "<path d=\"M16 0c-8.837 0-16 2.239-16 5v4c0 2.761 7.163 5 16 5s16-2.239 16-5v-4c0-2.761-7.163-5-16-5z\"></path>\n",
@@ -28726,7 +27724,7 @@
        "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DatasetView&gt; Size: 0B\n",
        "Dimensions:  ()\n",
        "Data variables:\n",
-       "    *empty*</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>meteorology</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-e8160cc6-cc00-4d0c-abab-bb4a3385aae5' class='xr-section-summary-in' type='checkbox'  ><label for='section-e8160cc6-cc00-4d0c-abab-bb4a3385aae5' class='xr-section-summary' >Groups: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><div style='display: inline-grid; grid-template-columns: 100%; grid-column: 1 / -1'><div style='display: inline-grid; grid-template-columns: 0px 20px auto; width: 100%;'><div style='grid-column-start: 1;border-right: 0.2em solid;border-color: var(--xr-border-color);height: 100%;width: 0px;'></div><div style='grid-column-start: 2;grid-row-start: 1;height: 1em;width: 20px;border-bottom: 0.2em solid;border-color: var(--xr-border-color);'></div><div style='grid-column-start: 3;'><div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
+       "    *empty*</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>meteorology</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-19329379-ca33-4f89-88e3-33ea079994e7' class='xr-section-summary-in' type='checkbox'  ><label for='section-19329379-ca33-4f89-88e3-33ea079994e7' class='xr-section-summary' >Groups: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><div style='display: inline-grid; grid-template-columns: 100%; grid-column: 1 / -1'><div style='display: inline-grid; grid-template-columns: 0px 20px auto; width: 100%;'><div style='grid-column-start: 1;border-right: 0.2em solid;border-color: var(--xr-border-color);height: 100%;width: 0px;'></div><div style='grid-column-start: 2;grid-row-start: 1;height: 1em;width: 20px;border-bottom: 0.2em solid;border-color: var(--xr-border-color);'></div><div style='grid-column-start: 3;'><div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
        "<defs>\n",
        "<symbol id=\"icon-database\" viewBox=\"0 0 32 32\">\n",
        "<path d=\"M16 0c-8.837 0-16 2.239-16 5v4c0 2.761 7.163 5 16 5s16-2.239 16-5v-4c0-2.761-7.163-5-16-5z\"></path>\n",
@@ -29100,8 +28098,8 @@
        "Dimensions:        (latitude: 9, longitude: 9)\n",
        "Coordinates:\n",
        "    isobaricInhPa  float64 8B ...\n",
-       "  * latitude       (latitude) float64 72B 47.85 47.73 47.6 ... 47.1 46.98 46.86\n",
-       "  * longitude      (longitude) float64 72B 9.0 9.18 9.36 ... 10.08 10.26 10.44\n",
+       "  * latitude       (latitude) float64 72B 72.1 71.97 71.85 ... 71.34 71.22 71.09\n",
+       "  * longitude      (longitude) float64 72B -33.0 -32.62 -32.24 ... -30.34 -29.96\n",
        "    number         int64 8B ...\n",
        "    step           int64 8B ...\n",
        "    surface        float64 8B ...\n",
@@ -29125,8 +28123,9 @@
        "    GRIB_centreDescription:  European Centre for Medium-Range Weather Forecasts\n",
        "    GRIB_edition:            1\n",
        "    GRIB_subCentre:          0\n",
-       "    history:                 2025-02-27T09:49 GRIB to CDM+CF via cfgrib-0.9.1...\n",
-       "    institution:             European Centre for Medium-Range Weather Forecasts</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>cams</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-6ffce590-f56e-46e5-bb27-1a8f30bb09b6' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-6ffce590-f56e-46e5-bb27-1a8f30bb09b6' class='xr-section-summary'  title='Expand/collapse section'>Groups: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><div style='display: inline-grid; grid-template-columns: 100%; grid-column: 1 / -1'></div></div></li><li class='xr-section-item'><input id='section-76d9a5c2-f209-4e03-9e2f-9de942df268f' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-76d9a5c2-f209-4e03-9e2f-9de942df268f' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>latitude</span>: 9</li><li><span class='xr-has-index'>longitude</span>: 9</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-3ea57aef-e406-4fb0-b89f-343507773355' class='xr-section-summary-in' type='checkbox'  checked><label for='section-3ea57aef-e406-4fb0-b89f-343507773355' class='xr-section-summary' >Coordinates: <span>(8)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>isobaricInhPa</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-0636d8e8-49b6-4517-9f44-f65e45d066dc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0636d8e8-49b6-4517-9f44-f65e45d066dc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-98367043-ddea-44cb-9664-30031b6ad3d6' class='xr-var-data-in' type='checkbox'><label for='data-98367043-ddea-44cb-9664-30031b6ad3d6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>pressure</dd><dt><span>positive :</span></dt><dd>down</dd><dt><span>standard_name :</span></dt><dd>air_pressure</dd><dt><span>stored_direction :</span></dt><dd>decreasing</dd><dt><span>units :</span></dt><dd>hPa</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>latitude</span></div><div class='xr-var-dims'>(latitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>47.85 47.73 47.6 ... 46.98 46.86</div><input id='attrs-5a514f2b-8e93-4d1b-92cf-8ffc20b4dd95' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5a514f2b-8e93-4d1b-92cf-8ffc20b4dd95' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5a028ce3-69f0-4ddd-837b-dc41c2163fe3' class='xr-var-data-in' type='checkbox'><label for='data-5a028ce3-69f0-4ddd-837b-dc41c2163fe3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>stored_direction :</span></dt><dd>decreasing</dd><dt><span>units :</span></dt><dd>degrees_north</dd></dl></div><div class='xr-var-data'><pre>array([47.854, 47.729, 47.604, 47.479, 47.354, 47.229, 47.104, 46.979, 46.857])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>longitude</span></div><div class='xr-var-dims'>(longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>9.0 9.18 9.36 ... 10.08 10.26 10.44</div><input id='attrs-fff0df0b-d107-4967-a552-f46e656a7624' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fff0df0b-d107-4967-a552-f46e656a7624' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-716e0bcd-4b4f-4dcf-b971-84dc31793fa0' class='xr-var-data-in' type='checkbox'><label for='data-716e0bcd-4b4f-4dcf-b971-84dc31793fa0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd></dl></div><div class='xr-var-data'><pre>array([ 9.  ,  9.18,  9.36,  9.54,  9.72,  9.9 , 10.08, 10.26, 10.44])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>number</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-405faf7d-e95e-49de-be1b-53a61a5cd28c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-405faf7d-e95e-49de-be1b-53a61a5cd28c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4e15cbee-c209-4cef-a5cb-fca7ec164684' class='xr-var-data-in' type='checkbox'><label for='data-4e15cbee-c209-4cef-a5cb-fca7ec164684' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>ensemble member numerical id</dd><dt><span>standard_name :</span></dt><dd>realization</dd><dt><span>units :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=int64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>step</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-b6ba17d7-2adb-439b-9e18-03bdb33899c0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b6ba17d7-2adb-439b-9e18-03bdb33899c0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d790c230-7f29-4084-be88-d91d5d8ca42d' class='xr-var-data-in' type='checkbox'><label for='data-d790c230-7f29-4084-be88-d91d5d8ca42d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>time since forecast_reference_time</dd><dt><span>standard_name :</span></dt><dd>forecast_period</dd><dt><span>units :</span></dt><dd>minutes</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=int64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>surface</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-c2aaeb52-fcdf-4d60-a691-7f3ba18a56dd' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c2aaeb52-fcdf-4d60-a691-7f3ba18a56dd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-aac4cc06-4939-41ee-9412-ce5964fc0424' class='xr-var-data-in' type='checkbox'><label for='data-aac4cc06-4939-41ee-9412-ce5964fc0424' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>original GRIB coordinate for key: level(surface)</dd><dt><span>units :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>time</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-76d58451-fa38-4467-b6b0-9c5962e2ea70' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-76d58451-fa38-4467-b6b0-9c5962e2ea70' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1727f5d7-dca4-4f88-b353-fa6cc46a146d' class='xr-var-data-in' type='checkbox'><label for='data-1727f5d7-dca4-4f88-b353-fa6cc46a146d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;_eopf_decode_datetime64&#x27;: &#x27;datetime64[ns]&#x27;}</dd><dt><span>long_name :</span></dt><dd>initial time of forecast</dd><dt><span>standard_name :</span></dt><dd>forecast_reference_time</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=datetime64[ns]]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>valid_time</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-ebfc3aee-a69c-4790-9e42-47faab612e5c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ebfc3aee-a69c-4790-9e42-47faab612e5c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4302f310-92d7-40f8-bb63-1d6252b69947' class='xr-var-data-in' type='checkbox'><label for='data-4302f310-92d7-40f8-bb63-1d6252b69947' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;_eopf_decode_datetime64&#x27;: &#x27;datetime64[ns]&#x27;}</dd><dt><span>long_name :</span></dt><dd>time</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=datetime64[ns]]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-6eebe6ea-ff06-4a5e-9ef4-6f8b391f498d' class='xr-section-summary-in' type='checkbox'  checked><label for='section-6eebe6ea-ff06-4a5e-9ef4-6f8b391f498d' class='xr-section-summary' >Data variables: <span>(11)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>aod1240</span></div><div class='xr-var-dims'>(latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9, 9), meta=np.ndarray&gt;</div><input id='attrs-6f7ca1cd-430a-4475-a372-ab81e32ceff7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6f7ca1cd-430a-4475-a372-ab81e32ceff7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-56fe33e9-9260-48c0-99a4-39cd9503fa4c' class='xr-var-data-in' type='checkbox'><label for='data-56fe33e9-9260-48c0-99a4-39cd9503fa4c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>9</dd><dt><span>GRIB_Ny :</span></dt><dd>9</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>aod1240</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.18</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.125</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>47.854</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>46.857</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>9.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>10.44</dd><dt><span>GRIB_missingValue :</span></dt><dd>3.4028234663852886e+38</dd><dt><span>GRIB_name :</span></dt><dd>Total Aerosol Optical Depth at 1240nm</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>81</dd><dt><span>GRIB_paramId :</span></dt><dd>210216</dd><dt><span>GRIB_shortName :</span></dt><dd>aod1240</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>0</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>~</dd><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;number&#x27;, &#x27;time&#x27;, &#x27;step&#x27;, &#x27;surface&#x27;, &#x27;latitude&#x27;, &#x27;longitude&#x27;, &#x27;valid_time&#x27;, &#x27;isobaricInhPa&#x27;], &#x27;dimensions&#x27;: [&#x27;latitude&#x27;, &#x27;longitude&#x27;], &#x27;units&#x27;: &#x27;~&#x27;}</dd><dt><span>long_name :</span></dt><dd>Total Aerosol Optical Depth at 1240nm</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>~</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    history:                 2025-04-16T04:00 GRIB to CDM+CF via cfgrib-0.9.1...\n",
+       "    institution:             European Centre for Medium-Range Weather Forecasts</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>cams</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-6242c9df-fb83-498d-9890-421e712eac87' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-6242c9df-fb83-498d-9890-421e712eac87' class='xr-section-summary'  title='Expand/collapse section'>Groups: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><div style='display: inline-grid; grid-template-columns: 100%; grid-column: 1 / -1'></div></div></li><li class='xr-section-item'><input id='section-8fc5f558-a556-45b2-8e85-619c8cc81749' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-8fc5f558-a556-45b2-8e85-619c8cc81749' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>latitude</span>: 9</li><li><span class='xr-has-index'>longitude</span>: 9</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-e91b9399-99e4-4be7-8f9d-fa4aada24eec' class='xr-section-summary-in' type='checkbox'  checked><label for='section-e91b9399-99e4-4be7-8f9d-fa4aada24eec' class='xr-section-summary' >Coordinates: <span>(8)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>isobaricInhPa</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-56657bd3-02ed-4e9f-bc18-528f11981c56' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-56657bd3-02ed-4e9f-bc18-528f11981c56' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-01fcc715-5d5b-4432-bd19-91aea0c85949' class='xr-var-data-in' type='checkbox'><label for='data-01fcc715-5d5b-4432-bd19-91aea0c85949' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>pressure</dd><dt><span>positive :</span></dt><dd>down</dd><dt><span>standard_name :</span></dt><dd>air_pressure</dd><dt><span>stored_direction :</span></dt><dd>decreasing</dd><dt><span>units :</span></dt><dd>hPa</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>latitude</span></div><div class='xr-var-dims'>(latitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>72.1 71.97 71.85 ... 71.22 71.09</div><input id='attrs-8db994b5-7205-4a8a-8060-01781afa888b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8db994b5-7205-4a8a-8060-01781afa888b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d73fe873-94df-4648-a348-edcaeab8ca06' class='xr-var-data-in' type='checkbox'><label for='data-d73fe873-94df-4648-a348-edcaeab8ca06' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>stored_direction :</span></dt><dd>decreasing</dd><dt><span>units :</span></dt><dd>degrees_north</dd></dl></div><div class='xr-var-data'><pre>array([72.1  , 71.974, 71.848, 71.722, 71.596, 71.47 , 71.344, 71.218, 71.09 ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>longitude</span></div><div class='xr-var-dims'>(longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-33.0 -32.62 ... -30.34 -29.96</div><input id='attrs-4d385b9e-d840-434d-b01b-95637faf79e7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4d385b9e-d840-434d-b01b-95637faf79e7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c75564f2-3324-4b99-af04-a0c21954ba84' class='xr-var-data-in' type='checkbox'><label for='data-c75564f2-3324-4b99-af04-a0c21954ba84' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd></dl></div><div class='xr-var-data'><pre>array([-33.001   , -32.621375, -32.24175 , -31.862125, -31.4825  , -31.102875,\n",
+       "       -30.72325 , -30.343625, -29.964   ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>number</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-a9bf5842-8f51-4425-bfe7-60fe21ff211a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a9bf5842-8f51-4425-bfe7-60fe21ff211a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ba5834a8-7a0e-4fea-8a82-d087cfd83d0f' class='xr-var-data-in' type='checkbox'><label for='data-ba5834a8-7a0e-4fea-8a82-d087cfd83d0f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>ensemble member numerical id</dd><dt><span>standard_name :</span></dt><dd>realization</dd><dt><span>units :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=int64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>step</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-421f2375-69f1-4f54-8f4d-bd575522ed11' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-421f2375-69f1-4f54-8f4d-bd575522ed11' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6ba11fd6-5774-4fd5-a4eb-cc4787302e78' class='xr-var-data-in' type='checkbox'><label for='data-6ba11fd6-5774-4fd5-a4eb-cc4787302e78' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>time since forecast_reference_time</dd><dt><span>standard_name :</span></dt><dd>forecast_period</dd><dt><span>units :</span></dt><dd>nanoseconds</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=int64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>surface</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-cd533c5a-f53d-4d3d-824d-1574b1e00816' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cd533c5a-f53d-4d3d-824d-1574b1e00816' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9c120bce-2ced-430d-a91b-999f421467b7' class='xr-var-data-in' type='checkbox'><label for='data-9c120bce-2ced-430d-a91b-999f421467b7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>original GRIB coordinate for key: level(surface)</dd><dt><span>units :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>time</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-24a62b9b-2f06-49d2-b6c1-696e08070640' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-24a62b9b-2f06-49d2-b6c1-696e08070640' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dff48667-7ffa-41de-ad24-37ee2b8e4253' class='xr-var-data-in' type='checkbox'><label for='data-dff48667-7ffa-41de-ad24-37ee2b8e4253' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>initial time of forecast</dd><dt><span>standard_name :</span></dt><dd>forecast_reference_time</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=datetime64[ns]]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>valid_time</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-08028492-ba4d-4c70-9bbc-b18837873cfa' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-08028492-ba4d-4c70-9bbc-b18837873cfa' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-da1e4070-f759-4eed-9c79-537fd4006d16' class='xr-var-data-in' type='checkbox'><label for='data-da1e4070-f759-4eed-9c79-537fd4006d16' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>time</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=datetime64[ns]]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-ce6a782b-dfcf-4be5-96a2-169d417bc3c0' class='xr-section-summary-in' type='checkbox'  checked><label for='section-ce6a782b-dfcf-4be5-96a2-169d417bc3c0' class='xr-section-summary' >Data variables: <span>(11)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>aod1240</span></div><div class='xr-var-dims'>(latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9, 9), meta=np.ndarray&gt;</div><input id='attrs-50bdd435-febb-4a0a-8687-fd148a7f7325' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-50bdd435-febb-4a0a-8687-fd148a7f7325' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-794c01e0-545e-481e-ba95-15da2f8aac6d' class='xr-var-data-in' type='checkbox'><label for='data-794c01e0-545e-481e-ba95-15da2f8aac6d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>9</dd><dt><span>GRIB_Ny :</span></dt><dd>9</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>aod1240</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.38</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.126</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>72.1</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>71.09</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-33.001</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-29.964</dd><dt><span>GRIB_missingValue :</span></dt><dd>3.4028234663852886e+38</dd><dt><span>GRIB_name :</span></dt><dd>Total Aerosol Optical Depth at 1240nm</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>81</dd><dt><span>GRIB_paramId :</span></dt><dd>210216</dd><dt><span>GRIB_shortName :</span></dt><dd>aod1240</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>0</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>~</dd><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;number&#x27;, &#x27;time&#x27;, &#x27;step&#x27;, &#x27;surface&#x27;, &#x27;latitude&#x27;, &#x27;longitude&#x27;, &#x27;valid_time&#x27;, &#x27;isobaricInhPa&#x27;], &#x27;dimensions&#x27;: [&#x27;latitude&#x27;, &#x27;longitude&#x27;], &#x27;long_name&#x27;: &#x27;Total Aerosol Optical Depth at 1240nm&#x27;, &#x27;standard_name&#x27;: &#x27;unknown&#x27;, &#x27;units&#x27;: &#x27;~&#x27;}</dd><dt><span>long_name :</span></dt><dd>Total Aerosol Optical Depth at 1240nm</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>~</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -29181,7 +28180,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>aod469</span></div><div class='xr-var-dims'>(latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9, 9), meta=np.ndarray&gt;</div><input id='attrs-8c5e2ab8-24cb-42e8-8cd2-d22971178ed4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8c5e2ab8-24cb-42e8-8cd2-d22971178ed4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a0196b84-bb02-4d30-a309-bbc41badc096' class='xr-var-data-in' type='checkbox'><label for='data-a0196b84-bb02-4d30-a309-bbc41badc096' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>9</dd><dt><span>GRIB_Ny :</span></dt><dd>9</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>aod469</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.18</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.125</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>47.854</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>46.857</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>9.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>10.44</dd><dt><span>GRIB_missingValue :</span></dt><dd>3.4028234663852886e+38</dd><dt><span>GRIB_name :</span></dt><dd>Total Aerosol Optical Depth at 469nm</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>81</dd><dt><span>GRIB_paramId :</span></dt><dd>210213</dd><dt><span>GRIB_shortName :</span></dt><dd>aod469</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>0</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>~</dd><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;number&#x27;, &#x27;time&#x27;, &#x27;step&#x27;, &#x27;surface&#x27;, &#x27;latitude&#x27;, &#x27;longitude&#x27;, &#x27;valid_time&#x27;, &#x27;isobaricInhPa&#x27;], &#x27;dimensions&#x27;: [&#x27;latitude&#x27;, &#x27;longitude&#x27;], &#x27;units&#x27;: &#x27;~&#x27;}</dd><dt><span>long_name :</span></dt><dd>Total Aerosol Optical Depth at 469nm</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>~</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>aod469</span></div><div class='xr-var-dims'>(latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9, 9), meta=np.ndarray&gt;</div><input id='attrs-250f4c77-b1ae-4750-902f-308ab9548d44' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-250f4c77-b1ae-4750-902f-308ab9548d44' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8a97fa71-e003-4e48-9629-cd9f693a3ea7' class='xr-var-data-in' type='checkbox'><label for='data-8a97fa71-e003-4e48-9629-cd9f693a3ea7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>9</dd><dt><span>GRIB_Ny :</span></dt><dd>9</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>aod469</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.38</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.126</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>72.1</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>71.09</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-33.001</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-29.964</dd><dt><span>GRIB_missingValue :</span></dt><dd>3.4028234663852886e+38</dd><dt><span>GRIB_name :</span></dt><dd>Total Aerosol Optical Depth at 469nm</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>81</dd><dt><span>GRIB_paramId :</span></dt><dd>210213</dd><dt><span>GRIB_shortName :</span></dt><dd>aod469</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>0</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>~</dd><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;number&#x27;, &#x27;time&#x27;, &#x27;step&#x27;, &#x27;surface&#x27;, &#x27;latitude&#x27;, &#x27;longitude&#x27;, &#x27;valid_time&#x27;, &#x27;isobaricInhPa&#x27;], &#x27;dimensions&#x27;: [&#x27;latitude&#x27;, &#x27;longitude&#x27;], &#x27;long_name&#x27;: &#x27;Total Aerosol Optical Depth at 469nm&#x27;, &#x27;standard_name&#x27;: &#x27;unknown&#x27;, &#x27;units&#x27;: &#x27;~&#x27;}</dd><dt><span>long_name :</span></dt><dd>Total Aerosol Optical Depth at 469nm</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>~</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -29236,7 +28235,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>aod550</span></div><div class='xr-var-dims'>(latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9, 9), meta=np.ndarray&gt;</div><input id='attrs-9a2af4c4-6478-4b21-93ee-f9b4080884b8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9a2af4c4-6478-4b21-93ee-f9b4080884b8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7bf93189-4379-4e98-b932-86305a73170f' class='xr-var-data-in' type='checkbox'><label for='data-7bf93189-4379-4e98-b932-86305a73170f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>9</dd><dt><span>GRIB_Ny :</span></dt><dd>9</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>aod550</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.18</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.125</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>47.854</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>46.857</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>9.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>10.44</dd><dt><span>GRIB_missingValue :</span></dt><dd>3.4028234663852886e+38</dd><dt><span>GRIB_name :</span></dt><dd>Total Aerosol Optical Depth at 550nm</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>81</dd><dt><span>GRIB_paramId :</span></dt><dd>210207</dd><dt><span>GRIB_shortName :</span></dt><dd>aod550</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>0</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>~</dd><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;number&#x27;, &#x27;time&#x27;, &#x27;step&#x27;, &#x27;surface&#x27;, &#x27;latitude&#x27;, &#x27;longitude&#x27;, &#x27;valid_time&#x27;, &#x27;isobaricInhPa&#x27;], &#x27;dimensions&#x27;: [&#x27;latitude&#x27;, &#x27;longitude&#x27;], &#x27;units&#x27;: &#x27;~&#x27;}</dd><dt><span>long_name :</span></dt><dd>Total Aerosol Optical Depth at 550nm</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>~</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>aod550</span></div><div class='xr-var-dims'>(latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9, 9), meta=np.ndarray&gt;</div><input id='attrs-ab5518be-da45-45af-9699-a3e40cb95fd4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ab5518be-da45-45af-9699-a3e40cb95fd4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8db5d6fd-8eb7-4304-9066-7e4abf2e0fa0' class='xr-var-data-in' type='checkbox'><label for='data-8db5d6fd-8eb7-4304-9066-7e4abf2e0fa0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>9</dd><dt><span>GRIB_Ny :</span></dt><dd>9</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>aod550</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.38</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.126</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>72.1</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>71.09</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-33.001</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-29.964</dd><dt><span>GRIB_missingValue :</span></dt><dd>3.4028234663852886e+38</dd><dt><span>GRIB_name :</span></dt><dd>Total Aerosol Optical Depth at 550nm</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>81</dd><dt><span>GRIB_paramId :</span></dt><dd>210207</dd><dt><span>GRIB_shortName :</span></dt><dd>aod550</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>0</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>~</dd><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;number&#x27;, &#x27;time&#x27;, &#x27;step&#x27;, &#x27;surface&#x27;, &#x27;latitude&#x27;, &#x27;longitude&#x27;, &#x27;valid_time&#x27;, &#x27;isobaricInhPa&#x27;], &#x27;dimensions&#x27;: [&#x27;latitude&#x27;, &#x27;longitude&#x27;], &#x27;long_name&#x27;: &#x27;Total Aerosol Optical Depth at 550nm&#x27;, &#x27;standard_name&#x27;: &#x27;unknown&#x27;, &#x27;units&#x27;: &#x27;~&#x27;}</dd><dt><span>long_name :</span></dt><dd>Total Aerosol Optical Depth at 550nm</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>~</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -29291,7 +28290,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>aod670</span></div><div class='xr-var-dims'>(latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9, 9), meta=np.ndarray&gt;</div><input id='attrs-86c6f5b5-a60a-44af-b578-a5cf2aaad214' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-86c6f5b5-a60a-44af-b578-a5cf2aaad214' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6b5837f1-259f-4e7d-be34-58fa6b95b29f' class='xr-var-data-in' type='checkbox'><label for='data-6b5837f1-259f-4e7d-be34-58fa6b95b29f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>9</dd><dt><span>GRIB_Ny :</span></dt><dd>9</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>aod670</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.18</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.125</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>47.854</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>46.857</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>9.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>10.44</dd><dt><span>GRIB_missingValue :</span></dt><dd>3.4028234663852886e+38</dd><dt><span>GRIB_name :</span></dt><dd>Total Aerosol Optical Depth at 670nm</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>81</dd><dt><span>GRIB_paramId :</span></dt><dd>210214</dd><dt><span>GRIB_shortName :</span></dt><dd>aod670</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>0</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>~</dd><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;number&#x27;, &#x27;time&#x27;, &#x27;step&#x27;, &#x27;surface&#x27;, &#x27;latitude&#x27;, &#x27;longitude&#x27;, &#x27;valid_time&#x27;, &#x27;isobaricInhPa&#x27;], &#x27;dimensions&#x27;: [&#x27;latitude&#x27;, &#x27;longitude&#x27;], &#x27;units&#x27;: &#x27;~&#x27;}</dd><dt><span>long_name :</span></dt><dd>Total Aerosol Optical Depth at 670nm</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>~</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>aod670</span></div><div class='xr-var-dims'>(latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9, 9), meta=np.ndarray&gt;</div><input id='attrs-2fec01ca-865c-4db0-a985-de5ffb3ea4c7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2fec01ca-865c-4db0-a985-de5ffb3ea4c7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5b443fbf-b72f-46fe-90da-788321870a3c' class='xr-var-data-in' type='checkbox'><label for='data-5b443fbf-b72f-46fe-90da-788321870a3c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>9</dd><dt><span>GRIB_Ny :</span></dt><dd>9</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>aod670</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.38</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.126</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>72.1</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>71.09</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-33.001</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-29.964</dd><dt><span>GRIB_missingValue :</span></dt><dd>3.4028234663852886e+38</dd><dt><span>GRIB_name :</span></dt><dd>Total Aerosol Optical Depth at 670nm</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>81</dd><dt><span>GRIB_paramId :</span></dt><dd>210214</dd><dt><span>GRIB_shortName :</span></dt><dd>aod670</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>0</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>~</dd><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;number&#x27;, &#x27;time&#x27;, &#x27;step&#x27;, &#x27;surface&#x27;, &#x27;latitude&#x27;, &#x27;longitude&#x27;, &#x27;valid_time&#x27;, &#x27;isobaricInhPa&#x27;], &#x27;dimensions&#x27;: [&#x27;latitude&#x27;, &#x27;longitude&#x27;], &#x27;long_name&#x27;: &#x27;Total Aerosol Optical Depth at 670nm&#x27;, &#x27;standard_name&#x27;: &#x27;unknown&#x27;, &#x27;units&#x27;: &#x27;~&#x27;}</dd><dt><span>long_name :</span></dt><dd>Total Aerosol Optical Depth at 670nm</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>~</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -29346,7 +28345,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>aod865</span></div><div class='xr-var-dims'>(latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9, 9), meta=np.ndarray&gt;</div><input id='attrs-45d32f2c-061c-49be-a57e-c2d698f686c1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-45d32f2c-061c-49be-a57e-c2d698f686c1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7a5b3890-4627-4c28-92c3-7a2f58404694' class='xr-var-data-in' type='checkbox'><label for='data-7a5b3890-4627-4c28-92c3-7a2f58404694' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>9</dd><dt><span>GRIB_Ny :</span></dt><dd>9</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>aod865</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.18</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.125</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>47.854</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>46.857</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>9.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>10.44</dd><dt><span>GRIB_missingValue :</span></dt><dd>3.4028234663852886e+38</dd><dt><span>GRIB_name :</span></dt><dd>Total Aerosol Optical Depth at 865nm</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>81</dd><dt><span>GRIB_paramId :</span></dt><dd>210215</dd><dt><span>GRIB_shortName :</span></dt><dd>aod865</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>0</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>~</dd><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;number&#x27;, &#x27;time&#x27;, &#x27;step&#x27;, &#x27;surface&#x27;, &#x27;latitude&#x27;, &#x27;longitude&#x27;, &#x27;valid_time&#x27;, &#x27;isobaricInhPa&#x27;], &#x27;dimensions&#x27;: [&#x27;latitude&#x27;, &#x27;longitude&#x27;], &#x27;units&#x27;: &#x27;~&#x27;}</dd><dt><span>long_name :</span></dt><dd>Total Aerosol Optical Depth at 865nm</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>~</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>aod865</span></div><div class='xr-var-dims'>(latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9, 9), meta=np.ndarray&gt;</div><input id='attrs-cc96e3d6-6818-46e4-b3b5-e2cc1d35b8e7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cc96e3d6-6818-46e4-b3b5-e2cc1d35b8e7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-549164d3-f972-4f2f-9fdc-63ccd59b0917' class='xr-var-data-in' type='checkbox'><label for='data-549164d3-f972-4f2f-9fdc-63ccd59b0917' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>9</dd><dt><span>GRIB_Ny :</span></dt><dd>9</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>aod865</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.38</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.126</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>72.1</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>71.09</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-33.001</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-29.964</dd><dt><span>GRIB_missingValue :</span></dt><dd>3.4028234663852886e+38</dd><dt><span>GRIB_name :</span></dt><dd>Total Aerosol Optical Depth at 865nm</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>81</dd><dt><span>GRIB_paramId :</span></dt><dd>210215</dd><dt><span>GRIB_shortName :</span></dt><dd>aod865</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>0</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>~</dd><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;number&#x27;, &#x27;time&#x27;, &#x27;step&#x27;, &#x27;surface&#x27;, &#x27;latitude&#x27;, &#x27;longitude&#x27;, &#x27;valid_time&#x27;, &#x27;isobaricInhPa&#x27;], &#x27;dimensions&#x27;: [&#x27;latitude&#x27;, &#x27;longitude&#x27;], &#x27;long_name&#x27;: &#x27;Total Aerosol Optical Depth at 865nm&#x27;, &#x27;standard_name&#x27;: &#x27;unknown&#x27;, &#x27;units&#x27;: &#x27;~&#x27;}</dd><dt><span>long_name :</span></dt><dd>Total Aerosol Optical Depth at 865nm</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>~</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -29401,7 +28400,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>bcaod550</span></div><div class='xr-var-dims'>(latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9, 9), meta=np.ndarray&gt;</div><input id='attrs-6fa94177-ee79-44f6-9a10-46d16e26191a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6fa94177-ee79-44f6-9a10-46d16e26191a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1e7be076-fd74-475d-a579-d81557bd5a85' class='xr-var-data-in' type='checkbox'><label for='data-1e7be076-fd74-475d-a579-d81557bd5a85' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>9</dd><dt><span>GRIB_Ny :</span></dt><dd>9</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>bcaod550</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.18</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.125</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>47.854</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>46.857</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>9.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>10.44</dd><dt><span>GRIB_missingValue :</span></dt><dd>3.4028234663852886e+38</dd><dt><span>GRIB_name :</span></dt><dd>Black Carbon Aerosol Optical Depth at 550nm</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>81</dd><dt><span>GRIB_paramId :</span></dt><dd>210211</dd><dt><span>GRIB_shortName :</span></dt><dd>bcaod550</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>0</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>~</dd><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;number&#x27;, &#x27;time&#x27;, &#x27;step&#x27;, &#x27;surface&#x27;, &#x27;latitude&#x27;, &#x27;longitude&#x27;, &#x27;valid_time&#x27;, &#x27;isobaricInhPa&#x27;], &#x27;dimensions&#x27;: [&#x27;latitude&#x27;, &#x27;longitude&#x27;], &#x27;units&#x27;: &#x27;~&#x27;}</dd><dt><span>long_name :</span></dt><dd>Black Carbon Aerosol Optical Depth at 550nm</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>~</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>bcaod550</span></div><div class='xr-var-dims'>(latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9, 9), meta=np.ndarray&gt;</div><input id='attrs-4ce23747-f7f3-4cf9-92c0-06bf8a75d5c0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4ce23747-f7f3-4cf9-92c0-06bf8a75d5c0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4bcc61ff-a27b-4394-a425-764a78d9a7ac' class='xr-var-data-in' type='checkbox'><label for='data-4bcc61ff-a27b-4394-a425-764a78d9a7ac' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>9</dd><dt><span>GRIB_Ny :</span></dt><dd>9</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>bcaod550</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.38</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.126</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>72.1</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>71.09</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-33.001</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-29.964</dd><dt><span>GRIB_missingValue :</span></dt><dd>3.4028234663852886e+38</dd><dt><span>GRIB_name :</span></dt><dd>Black Carbon Aerosol Optical Depth at 550nm</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>81</dd><dt><span>GRIB_paramId :</span></dt><dd>210211</dd><dt><span>GRIB_shortName :</span></dt><dd>bcaod550</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>0</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>~</dd><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;number&#x27;, &#x27;time&#x27;, &#x27;step&#x27;, &#x27;surface&#x27;, &#x27;latitude&#x27;, &#x27;longitude&#x27;, &#x27;valid_time&#x27;, &#x27;isobaricInhPa&#x27;], &#x27;dimensions&#x27;: [&#x27;latitude&#x27;, &#x27;longitude&#x27;], &#x27;long_name&#x27;: &#x27;Black Carbon Aerosol Optical Depth at 550nm&#x27;, &#x27;standard_name&#x27;: &#x27;unknown&#x27;, &#x27;units&#x27;: &#x27;~&#x27;}</dd><dt><span>long_name :</span></dt><dd>Black Carbon Aerosol Optical Depth at 550nm</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>~</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -29456,7 +28455,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>duaod550</span></div><div class='xr-var-dims'>(latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9, 9), meta=np.ndarray&gt;</div><input id='attrs-83e026b8-b9ce-4a0b-ad2e-01788e5661c2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-83e026b8-b9ce-4a0b-ad2e-01788e5661c2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0a265822-73d0-47c9-90e6-e5678a878105' class='xr-var-data-in' type='checkbox'><label for='data-0a265822-73d0-47c9-90e6-e5678a878105' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>9</dd><dt><span>GRIB_Ny :</span></dt><dd>9</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>duaod550</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.18</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.125</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>47.854</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>46.857</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>9.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>10.44</dd><dt><span>GRIB_missingValue :</span></dt><dd>3.4028234663852886e+38</dd><dt><span>GRIB_name :</span></dt><dd>Dust Aerosol Optical Depth at 550nm</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>81</dd><dt><span>GRIB_paramId :</span></dt><dd>210209</dd><dt><span>GRIB_shortName :</span></dt><dd>duaod550</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>0</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>isobaricInhPa</dd><dt><span>GRIB_units :</span></dt><dd>~</dd><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;number&#x27;, &#x27;time&#x27;, &#x27;step&#x27;, &#x27;surface&#x27;, &#x27;latitude&#x27;, &#x27;longitude&#x27;, &#x27;valid_time&#x27;, &#x27;isobaricInhPa&#x27;], &#x27;dimensions&#x27;: [&#x27;latitude&#x27;, &#x27;longitude&#x27;], &#x27;units&#x27;: &#x27;~&#x27;}</dd><dt><span>long_name :</span></dt><dd>Dust Aerosol Optical Depth at 550nm</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>~</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>duaod550</span></div><div class='xr-var-dims'>(latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9, 9), meta=np.ndarray&gt;</div><input id='attrs-3eb64482-28a5-434a-93da-9593e8c95c4b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3eb64482-28a5-434a-93da-9593e8c95c4b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-561cf07a-5916-40d3-9aaf-22a5cfccf520' class='xr-var-data-in' type='checkbox'><label for='data-561cf07a-5916-40d3-9aaf-22a5cfccf520' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>9</dd><dt><span>GRIB_Ny :</span></dt><dd>9</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>duaod550</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.38</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.126</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>72.1</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>71.09</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-33.001</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-29.964</dd><dt><span>GRIB_missingValue :</span></dt><dd>3.4028234663852886e+38</dd><dt><span>GRIB_name :</span></dt><dd>Dust Aerosol Optical Depth at 550nm</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>81</dd><dt><span>GRIB_paramId :</span></dt><dd>210209</dd><dt><span>GRIB_shortName :</span></dt><dd>duaod550</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>0</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>isobaricInhPa</dd><dt><span>GRIB_units :</span></dt><dd>~</dd><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;number&#x27;, &#x27;time&#x27;, &#x27;step&#x27;, &#x27;surface&#x27;, &#x27;latitude&#x27;, &#x27;longitude&#x27;, &#x27;valid_time&#x27;, &#x27;isobaricInhPa&#x27;], &#x27;dimensions&#x27;: [&#x27;latitude&#x27;, &#x27;longitude&#x27;], &#x27;long_name&#x27;: &#x27;Dust Aerosol Optical Depth at 550nm&#x27;, &#x27;standard_name&#x27;: &#x27;unknown&#x27;, &#x27;units&#x27;: &#x27;~&#x27;}</dd><dt><span>long_name :</span></dt><dd>Dust Aerosol Optical Depth at 550nm</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>~</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -29511,7 +28510,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>omaod550</span></div><div class='xr-var-dims'>(latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9, 9), meta=np.ndarray&gt;</div><input id='attrs-53b2872c-db19-4c54-b0e5-0e10e1bad3c8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-53b2872c-db19-4c54-b0e5-0e10e1bad3c8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e57767f9-3daa-4eac-84bf-d22871a27124' class='xr-var-data-in' type='checkbox'><label for='data-e57767f9-3daa-4eac-84bf-d22871a27124' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>9</dd><dt><span>GRIB_Ny :</span></dt><dd>9</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>omaod550</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.18</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.125</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>47.854</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>46.857</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>9.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>10.44</dd><dt><span>GRIB_missingValue :</span></dt><dd>3.4028234663852886e+38</dd><dt><span>GRIB_name :</span></dt><dd>Organic Matter Aerosol Optical Depth at 550nm</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>81</dd><dt><span>GRIB_paramId :</span></dt><dd>210210</dd><dt><span>GRIB_shortName :</span></dt><dd>omaod550</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>0</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>~</dd><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;number&#x27;, &#x27;time&#x27;, &#x27;step&#x27;, &#x27;surface&#x27;, &#x27;latitude&#x27;, &#x27;longitude&#x27;, &#x27;valid_time&#x27;, &#x27;isobaricInhPa&#x27;], &#x27;dimensions&#x27;: [&#x27;latitude&#x27;, &#x27;longitude&#x27;], &#x27;units&#x27;: &#x27;~&#x27;}</dd><dt><span>long_name :</span></dt><dd>Organic Matter Aerosol Optical Depth at 550nm</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>~</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>omaod550</span></div><div class='xr-var-dims'>(latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9, 9), meta=np.ndarray&gt;</div><input id='attrs-4f4863e1-7340-48c6-b8fc-f848d0248195' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4f4863e1-7340-48c6-b8fc-f848d0248195' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a25533a9-eb6d-4b83-be3a-b6016ef2a477' class='xr-var-data-in' type='checkbox'><label for='data-a25533a9-eb6d-4b83-be3a-b6016ef2a477' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>9</dd><dt><span>GRIB_Ny :</span></dt><dd>9</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>omaod550</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.38</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.126</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>72.1</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>71.09</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-33.001</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-29.964</dd><dt><span>GRIB_missingValue :</span></dt><dd>3.4028234663852886e+38</dd><dt><span>GRIB_name :</span></dt><dd>Organic Matter Aerosol Optical Depth at 550nm</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>81</dd><dt><span>GRIB_paramId :</span></dt><dd>210210</dd><dt><span>GRIB_shortName :</span></dt><dd>omaod550</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>0</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>~</dd><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;number&#x27;, &#x27;time&#x27;, &#x27;step&#x27;, &#x27;surface&#x27;, &#x27;latitude&#x27;, &#x27;longitude&#x27;, &#x27;valid_time&#x27;, &#x27;isobaricInhPa&#x27;], &#x27;dimensions&#x27;: [&#x27;latitude&#x27;, &#x27;longitude&#x27;], &#x27;long_name&#x27;: &#x27;Organic Matter Aerosol Optical Depth at 550nm&#x27;, &#x27;standard_name&#x27;: &#x27;unknown&#x27;, &#x27;units&#x27;: &#x27;~&#x27;}</dd><dt><span>long_name :</span></dt><dd>Organic Matter Aerosol Optical Depth at 550nm</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>~</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -29566,7 +28565,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ssaod550</span></div><div class='xr-var-dims'>(latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9, 9), meta=np.ndarray&gt;</div><input id='attrs-90698907-8b35-454d-b48f-6367793eb6b8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-90698907-8b35-454d-b48f-6367793eb6b8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f9e5c24d-301d-4562-ab25-1bb198b9203b' class='xr-var-data-in' type='checkbox'><label for='data-f9e5c24d-301d-4562-ab25-1bb198b9203b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>9</dd><dt><span>GRIB_Ny :</span></dt><dd>9</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>ssaod550</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.18</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.125</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>47.854</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>46.857</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>9.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>10.44</dd><dt><span>GRIB_missingValue :</span></dt><dd>3.4028234663852886e+38</dd><dt><span>GRIB_name :</span></dt><dd>Sea Salt Aerosol Optical Depth at 550nm</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>81</dd><dt><span>GRIB_paramId :</span></dt><dd>210208</dd><dt><span>GRIB_shortName :</span></dt><dd>ssaod550</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>0</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>~</dd><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;number&#x27;, &#x27;time&#x27;, &#x27;step&#x27;, &#x27;surface&#x27;, &#x27;latitude&#x27;, &#x27;longitude&#x27;, &#x27;valid_time&#x27;, &#x27;isobaricInhPa&#x27;], &#x27;dimensions&#x27;: [&#x27;latitude&#x27;, &#x27;longitude&#x27;], &#x27;units&#x27;: &#x27;~&#x27;}</dd><dt><span>long_name :</span></dt><dd>Sea Salt Aerosol Optical Depth at 550nm</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>~</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ssaod550</span></div><div class='xr-var-dims'>(latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9, 9), meta=np.ndarray&gt;</div><input id='attrs-3dbf0fc5-9dc1-41d1-8459-f951d470cfe0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3dbf0fc5-9dc1-41d1-8459-f951d470cfe0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bb914043-59d7-4f72-ac21-3d3fad4efc79' class='xr-var-data-in' type='checkbox'><label for='data-bb914043-59d7-4f72-ac21-3d3fad4efc79' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>9</dd><dt><span>GRIB_Ny :</span></dt><dd>9</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>ssaod550</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.38</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.126</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>72.1</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>71.09</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-33.001</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-29.964</dd><dt><span>GRIB_missingValue :</span></dt><dd>3.4028234663852886e+38</dd><dt><span>GRIB_name :</span></dt><dd>Sea Salt Aerosol Optical Depth at 550nm</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>81</dd><dt><span>GRIB_paramId :</span></dt><dd>210208</dd><dt><span>GRIB_shortName :</span></dt><dd>ssaod550</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>0</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>~</dd><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;number&#x27;, &#x27;time&#x27;, &#x27;step&#x27;, &#x27;surface&#x27;, &#x27;latitude&#x27;, &#x27;longitude&#x27;, &#x27;valid_time&#x27;, &#x27;isobaricInhPa&#x27;], &#x27;dimensions&#x27;: [&#x27;latitude&#x27;, &#x27;longitude&#x27;], &#x27;long_name&#x27;: &#x27;Sea Salt Aerosol Optical Depth at 550nm&#x27;, &#x27;standard_name&#x27;: &#x27;unknown&#x27;, &#x27;units&#x27;: &#x27;~&#x27;}</dd><dt><span>long_name :</span></dt><dd>Sea Salt Aerosol Optical Depth at 550nm</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>~</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -29621,7 +28620,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>suaod550</span></div><div class='xr-var-dims'>(latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9, 9), meta=np.ndarray&gt;</div><input id='attrs-df968f07-18a3-4bcc-9b21-fd07499c0943' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-df968f07-18a3-4bcc-9b21-fd07499c0943' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d5edc472-1cae-4746-8d70-e80d6695efa2' class='xr-var-data-in' type='checkbox'><label for='data-d5edc472-1cae-4746-8d70-e80d6695efa2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>9</dd><dt><span>GRIB_Ny :</span></dt><dd>9</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>suaod550</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.18</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.125</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>47.854</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>46.857</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>9.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>10.44</dd><dt><span>GRIB_missingValue :</span></dt><dd>3.4028234663852886e+38</dd><dt><span>GRIB_name :</span></dt><dd>Sulphate Aerosol Optical Depth at 550nm</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>81</dd><dt><span>GRIB_paramId :</span></dt><dd>210212</dd><dt><span>GRIB_shortName :</span></dt><dd>suaod550</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>0</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>~</dd><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;number&#x27;, &#x27;time&#x27;, &#x27;step&#x27;, &#x27;surface&#x27;, &#x27;latitude&#x27;, &#x27;longitude&#x27;, &#x27;valid_time&#x27;, &#x27;isobaricInhPa&#x27;], &#x27;dimensions&#x27;: [&#x27;latitude&#x27;, &#x27;longitude&#x27;], &#x27;units&#x27;: &#x27;~&#x27;}</dd><dt><span>long_name :</span></dt><dd>Sulphate Aerosol Optical Depth at 550nm</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>~</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>suaod550</span></div><div class='xr-var-dims'>(latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9, 9), meta=np.ndarray&gt;</div><input id='attrs-2ce8853c-8bb5-445f-beae-a6547619370b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2ce8853c-8bb5-445f-beae-a6547619370b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ceb36dd8-3c8d-4f04-a261-8f4b62fa9bbe' class='xr-var-data-in' type='checkbox'><label for='data-ceb36dd8-3c8d-4f04-a261-8f4b62fa9bbe' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>9</dd><dt><span>GRIB_Ny :</span></dt><dd>9</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>suaod550</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.38</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.126</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>72.1</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>71.09</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-33.001</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-29.964</dd><dt><span>GRIB_missingValue :</span></dt><dd>3.4028234663852886e+38</dd><dt><span>GRIB_name :</span></dt><dd>Sulphate Aerosol Optical Depth at 550nm</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>81</dd><dt><span>GRIB_paramId :</span></dt><dd>210212</dd><dt><span>GRIB_shortName :</span></dt><dd>suaod550</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>0</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>~</dd><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;number&#x27;, &#x27;time&#x27;, &#x27;step&#x27;, &#x27;surface&#x27;, &#x27;latitude&#x27;, &#x27;longitude&#x27;, &#x27;valid_time&#x27;, &#x27;isobaricInhPa&#x27;], &#x27;dimensions&#x27;: [&#x27;latitude&#x27;, &#x27;longitude&#x27;], &#x27;long_name&#x27;: &#x27;Sulphate Aerosol Optical Depth at 550nm&#x27;, &#x27;standard_name&#x27;: &#x27;unknown&#x27;, &#x27;units&#x27;: &#x27;~&#x27;}</dd><dt><span>long_name :</span></dt><dd>Sulphate Aerosol Optical Depth at 550nm</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>~</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -29676,7 +28675,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>z</span></div><div class='xr-var-dims'>(latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9, 9), meta=np.ndarray&gt;</div><input id='attrs-d31c8baa-2c5c-4207-b7fc-b45d5323fecf' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d31c8baa-2c5c-4207-b7fc-b45d5323fecf' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5809c8df-c9ee-4551-8d50-912e0fd4d740' class='xr-var-data-in' type='checkbox'><label for='data-5809c8df-c9ee-4551-8d50-912e0fd4d740' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>9</dd><dt><span>GRIB_Ny :</span></dt><dd>9</dd><dt><span>GRIB_cfName :</span></dt><dd>geopotential</dd><dt><span>GRIB_cfVarName :</span></dt><dd>z</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.18</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.125</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>47.854</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>46.857</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>9.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>10.44</dd><dt><span>GRIB_missingValue :</span></dt><dd>3.4028234663852886e+38</dd><dt><span>GRIB_name :</span></dt><dd>Geopotential</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>81</dd><dt><span>GRIB_paramId :</span></dt><dd>129</dd><dt><span>GRIB_shortName :</span></dt><dd>z</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>0</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>m**2 s**-2</dd><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;number&#x27;, &#x27;time&#x27;, &#x27;step&#x27;, &#x27;surface&#x27;, &#x27;latitude&#x27;, &#x27;longitude&#x27;, &#x27;valid_time&#x27;, &#x27;isobaricInhPa&#x27;], &#x27;dimensions&#x27;: [&#x27;latitude&#x27;, &#x27;longitude&#x27;], &#x27;units&#x27;: &#x27;m**2 s**-2&#x27;}</dd><dt><span>long_name :</span></dt><dd>Geopotential</dd><dt><span>standard_name :</span></dt><dd>geopotential</dd><dt><span>units :</span></dt><dd>m**2 s**-2</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>z</span></div><div class='xr-var-dims'>(latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9, 9), meta=np.ndarray&gt;</div><input id='attrs-79855dc4-c203-4fc4-a489-41c2002f0ee1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-79855dc4-c203-4fc4-a489-41c2002f0ee1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-88da0a70-3e37-4717-af7d-41173f31309f' class='xr-var-data-in' type='checkbox'><label for='data-88da0a70-3e37-4717-af7d-41173f31309f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>9</dd><dt><span>GRIB_Ny :</span></dt><dd>9</dd><dt><span>GRIB_cfName :</span></dt><dd>geopotential</dd><dt><span>GRIB_cfVarName :</span></dt><dd>z</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.38</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.126</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>72.1</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>71.09</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-33.001</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-29.964</dd><dt><span>GRIB_missingValue :</span></dt><dd>3.4028234663852886e+38</dd><dt><span>GRIB_name :</span></dt><dd>Geopotential</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>81</dd><dt><span>GRIB_paramId :</span></dt><dd>129</dd><dt><span>GRIB_shortName :</span></dt><dd>z</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>0</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>m**2 s**-2</dd><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;number&#x27;, &#x27;time&#x27;, &#x27;step&#x27;, &#x27;surface&#x27;, &#x27;latitude&#x27;, &#x27;longitude&#x27;, &#x27;valid_time&#x27;, &#x27;isobaricInhPa&#x27;], &#x27;dimensions&#x27;: [&#x27;latitude&#x27;, &#x27;longitude&#x27;], &#x27;long_name&#x27;: &#x27;Geopotential&#x27;, &#x27;standard_name&#x27;: &#x27;geopotential&#x27;, &#x27;units&#x27;: &#x27;m**2 s**-2&#x27;}</dd><dt><span>long_name :</span></dt><dd>Geopotential</dd><dt><span>standard_name :</span></dt><dd>geopotential</dd><dt><span>units :</span></dt><dd>m**2 s**-2</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -29731,7 +28730,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-64ce6674-c4bc-4d9f-9b89-d9d1a4281473' class='xr-section-summary-in' type='checkbox'  checked><label for='section-64ce6674-c4bc-4d9f-9b89-d9d1a4281473' class='xr-section-summary' >Attributes: <span>(7)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>CF-1.7</dd><dt><span>GRIB_centre :</span></dt><dd>ecmf</dd><dt><span>GRIB_centreDescription :</span></dt><dd>European Centre for Medium-Range Weather Forecasts</dd><dt><span>GRIB_edition :</span></dt><dd>1</dd><dt><span>GRIB_subCentre :</span></dt><dd>0</dd><dt><span>history :</span></dt><dd>2025-02-27T09:49 GRIB to CDM+CF via cfgrib-0.9.10.4/ecCodes-2.34.1 with {&quot;source&quot;: &quot;tmp/S2A_MSIL2A_20240101T102431_N0510_R065_T32TNT_20240101T144052.SAFE/GRANULE/L2A_T32TNT_A044535_20240101T102736/AUX_DATA/AUX_CAMSFO&quot;, &quot;filter_by_keys&quot;: {}, &quot;encode_cf&quot;: [&quot;parameter&quot;, &quot;time&quot;, &quot;geography&quot;, &quot;vertical&quot;]}</dd><dt><span>institution :</span></dt><dd>European Centre for Medium-Range Weather Forecasts</dd></dl></div></li></ul></div></div></div></div><div style='display: inline-grid; grid-template-columns: 0px 20px auto; width: 100%;'><div style='grid-column-start: 1;border-right: 0.2em solid;border-color: var(--xr-border-color);height: 1.2em;width: 0px;'></div><div style='grid-column-start: 2;grid-row-start: 1;height: 1em;width: 20px;border-bottom: 0.2em solid;border-color: var(--xr-border-color);'></div><div style='grid-column-start: 3;'><div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
+       "</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-f99a7925-5c8d-4624-846d-142e51bff7c7' class='xr-section-summary-in' type='checkbox'  checked><label for='section-f99a7925-5c8d-4624-846d-142e51bff7c7' class='xr-section-summary' >Attributes: <span>(7)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>CF-1.7</dd><dt><span>GRIB_centre :</span></dt><dd>ecmf</dd><dt><span>GRIB_centreDescription :</span></dt><dd>European Centre for Medium-Range Weather Forecasts</dd><dt><span>GRIB_edition :</span></dt><dd>1</dd><dt><span>GRIB_subCentre :</span></dt><dd>0</dd><dt><span>history :</span></dt><dd>2025-04-16T04:00 GRIB to CDM+CF via cfgrib-0.9.10.4/ecCodes-2.34.1 with {&quot;source&quot;: &quot;../../mnt/data/eopf-conversion-fnl4h/S2B_MSIL2A_20250415T142749_N0511_R139_T25WEV_20250415T181516.SAFE/GRANULE/L2A_T25WEV_A042350_20250415T142954/AUX_DATA/AUX_CAMSFO&quot;, &quot;filter_by_keys&quot;: {}, &quot;encode_cf&quot;: [&quot;parameter&quot;, &quot;time&quot;, &quot;geography&quot;, &quot;vertical&quot;]}</dd><dt><span>institution :</span></dt><dd>European Centre for Medium-Range Weather Forecasts</dd></dl></div></li></ul></div></div></div></div><div style='display: inline-grid; grid-template-columns: 0px 20px auto; width: 100%;'><div style='grid-column-start: 1;border-right: 0.2em solid;border-color: var(--xr-border-color);height: 1.2em;width: 0px;'></div><div style='grid-column-start: 2;grid-row-start: 1;height: 1em;width: 20px;border-bottom: 0.2em solid;border-color: var(--xr-border-color);'></div><div style='grid-column-start: 3;'><div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
        "<defs>\n",
        "<symbol id=\"icon-database\" viewBox=\"0 0 32 32\">\n",
        "<path d=\"M16 0c-8.837 0-16 2.239-16 5v4c0 2.761 7.163 5 16 5s16-2.239 16-5v-4c0-2.761-7.163-5-16-5z\"></path>\n",
@@ -30105,8 +29104,8 @@
        "Dimensions:        (latitude: 9, longitude: 9)\n",
        "Coordinates:\n",
        "    isobaricInhPa  float64 8B ...\n",
-       "  * latitude       (latitude) float64 72B 47.85 47.73 47.6 ... 47.1 46.98 46.86\n",
-       "  * longitude      (longitude) float64 72B 9.0 9.18 9.36 ... 10.08 10.26 10.44\n",
+       "  * latitude       (latitude) float64 72B 72.1 71.97 71.85 ... 71.34 71.22 71.09\n",
+       "  * longitude      (longitude) float64 72B -33.0 -32.62 -32.24 ... -30.34 -29.96\n",
        "    number         int64 8B ...\n",
        "    step           int64 8B ...\n",
        "    surface        float64 8B ...\n",
@@ -30125,8 +29124,9 @@
        "    GRIB_centreDescription:  European Centre for Medium-Range Weather Forecasts\n",
        "    GRIB_edition:            1\n",
        "    GRIB_subCentre:          0\n",
-       "    history:                 2025-02-27T09:49 GRIB to CDM+CF via cfgrib-0.9.1...\n",
-       "    institution:             European Centre for Medium-Range Weather Forecasts</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>ecmwf</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-9cb216fa-7665-4d62-b0c9-a47547ce4485' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-9cb216fa-7665-4d62-b0c9-a47547ce4485' class='xr-section-summary'  title='Expand/collapse section'>Groups: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><div style='display: inline-grid; grid-template-columns: 100%; grid-column: 1 / -1'></div></div></li><li class='xr-section-item'><input id='section-795e7700-9651-4c36-b395-ee00b33592df' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-795e7700-9651-4c36-b395-ee00b33592df' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>latitude</span>: 9</li><li><span class='xr-has-index'>longitude</span>: 9</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-2dc6c7c8-1abe-4266-94cd-28228e88adf3' class='xr-section-summary-in' type='checkbox'  checked><label for='section-2dc6c7c8-1abe-4266-94cd-28228e88adf3' class='xr-section-summary' >Coordinates: <span>(8)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>isobaricInhPa</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-0a71e56f-07e4-408e-958f-3f97a85fb2ca' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0a71e56f-07e4-408e-958f-3f97a85fb2ca' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4f71eaf5-fc72-40e0-a16b-7e34d424ed9b' class='xr-var-data-in' type='checkbox'><label for='data-4f71eaf5-fc72-40e0-a16b-7e34d424ed9b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>pressure</dd><dt><span>positive :</span></dt><dd>down</dd><dt><span>standard_name :</span></dt><dd>air_pressure</dd><dt><span>stored_direction :</span></dt><dd>decreasing</dd><dt><span>units :</span></dt><dd>hPa</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>latitude</span></div><div class='xr-var-dims'>(latitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>47.85 47.73 47.6 ... 46.98 46.86</div><input id='attrs-84be2652-a26e-43dd-8699-add21f0c1e61' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-84be2652-a26e-43dd-8699-add21f0c1e61' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-32ab2e6c-b3b9-42e9-b509-a241c039bb54' class='xr-var-data-in' type='checkbox'><label for='data-32ab2e6c-b3b9-42e9-b509-a241c039bb54' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>stored_direction :</span></dt><dd>decreasing</dd><dt><span>units :</span></dt><dd>degrees_north</dd></dl></div><div class='xr-var-data'><pre>array([47.854, 47.729, 47.604, 47.479, 47.354, 47.229, 47.104, 46.979, 46.857])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>longitude</span></div><div class='xr-var-dims'>(longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>9.0 9.18 9.36 ... 10.08 10.26 10.44</div><input id='attrs-ce7df8cd-1bbc-46c6-941d-658051465206' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ce7df8cd-1bbc-46c6-941d-658051465206' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d42b48b9-9012-4807-8d46-3d24825c1d98' class='xr-var-data-in' type='checkbox'><label for='data-d42b48b9-9012-4807-8d46-3d24825c1d98' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd></dl></div><div class='xr-var-data'><pre>array([ 9.  ,  9.18,  9.36,  9.54,  9.72,  9.9 , 10.08, 10.26, 10.44])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>number</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-b35fa417-356c-4ee7-939f-69374ba91436' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b35fa417-356c-4ee7-939f-69374ba91436' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cdbaf131-ebd7-4843-b536-3d17a77c9086' class='xr-var-data-in' type='checkbox'><label for='data-cdbaf131-ebd7-4843-b536-3d17a77c9086' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>ensemble member numerical id</dd><dt><span>standard_name :</span></dt><dd>realization</dd><dt><span>units :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=int64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>step</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-fb679cbb-c23e-41cc-b41b-027819603b99' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fb679cbb-c23e-41cc-b41b-027819603b99' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a87c3322-0c76-4268-9095-c957b57195a5' class='xr-var-data-in' type='checkbox'><label for='data-a87c3322-0c76-4268-9095-c957b57195a5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>time since forecast_reference_time</dd><dt><span>standard_name :</span></dt><dd>forecast_period</dd><dt><span>units :</span></dt><dd>minutes</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=int64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>surface</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-53773924-6860-4f59-861f-605c9b1a3998' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-53773924-6860-4f59-861f-605c9b1a3998' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a7f80f35-277c-4122-9942-398e0ce811df' class='xr-var-data-in' type='checkbox'><label for='data-a7f80f35-277c-4122-9942-398e0ce811df' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>original GRIB coordinate for key: level(surface)</dd><dt><span>units :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>time</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-b73587ed-4b9d-4467-82e2-0d6aaaa369dd' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b73587ed-4b9d-4467-82e2-0d6aaaa369dd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b8b06486-a084-42cf-a9b8-384b8310dc21' class='xr-var-data-in' type='checkbox'><label for='data-b8b06486-a084-42cf-a9b8-384b8310dc21' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;_eopf_decode_datetime64&#x27;: &#x27;datetime64[ns]&#x27;}</dd><dt><span>long_name :</span></dt><dd>initial time of forecast</dd><dt><span>standard_name :</span></dt><dd>forecast_reference_time</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=datetime64[ns]]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>valid_time</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-c4044ba9-47a7-49d0-ac4b-7ca9225fce6d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c4044ba9-47a7-49d0-ac4b-7ca9225fce6d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4578796d-6659-433c-8fe3-ae6ddc38ce6a' class='xr-var-data-in' type='checkbox'><label for='data-4578796d-6659-433c-8fe3-ae6ddc38ce6a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;_eopf_decode_datetime64&#x27;: &#x27;datetime64[ns]&#x27;}</dd><dt><span>long_name :</span></dt><dd>time</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=datetime64[ns]]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-c09efbce-e913-4a51-b21a-16b44ceb4bf8' class='xr-section-summary-in' type='checkbox'  checked><label for='section-c09efbce-e913-4a51-b21a-16b44ceb4bf8' class='xr-section-summary' >Data variables: <span>(6)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>msl</span></div><div class='xr-var-dims'>(latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9, 9), meta=np.ndarray&gt;</div><input id='attrs-e86eef7d-5b98-4d8a-9158-8c8e07d58484' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e86eef7d-5b98-4d8a-9158-8c8e07d58484' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8d7791ec-4118-438f-88a9-add07cdcac7d' class='xr-var-data-in' type='checkbox'><label for='data-8d7791ec-4118-438f-88a9-add07cdcac7d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>9</dd><dt><span>GRIB_Ny :</span></dt><dd>9</dd><dt><span>GRIB_cfName :</span></dt><dd>air_pressure_at_mean_sea_level</dd><dt><span>GRIB_cfVarName :</span></dt><dd>msl</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.18</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.125</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>47.854</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>46.857</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>9.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>10.44</dd><dt><span>GRIB_missingValue :</span></dt><dd>3.4028234663852886e+38</dd><dt><span>GRIB_name :</span></dt><dd>Mean sea level pressure</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>81</dd><dt><span>GRIB_paramId :</span></dt><dd>151</dd><dt><span>GRIB_shortName :</span></dt><dd>msl</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>0</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>Pa</dd><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;number&#x27;, &#x27;time&#x27;, &#x27;step&#x27;, &#x27;surface&#x27;, &#x27;latitude&#x27;, &#x27;longitude&#x27;, &#x27;valid_time&#x27;, &#x27;isobaricInhPa&#x27;], &#x27;dimensions&#x27;: [&#x27;latitude&#x27;, &#x27;longitude&#x27;], &#x27;units&#x27;: &#x27;Pa&#x27;}</dd><dt><span>long_name :</span></dt><dd>Mean sea level pressure</dd><dt><span>standard_name :</span></dt><dd>air_pressure_at_mean_sea_level</dd><dt><span>units :</span></dt><dd>Pa</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    history:                 2025-04-16T04:00 GRIB to CDM+CF via cfgrib-0.9.1...\n",
+       "    institution:             European Centre for Medium-Range Weather Forecasts</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>ecmwf</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-3a5736c1-ac93-4708-b087-b73fc6f70f39' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-3a5736c1-ac93-4708-b087-b73fc6f70f39' class='xr-section-summary'  title='Expand/collapse section'>Groups: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><div style='display: inline-grid; grid-template-columns: 100%; grid-column: 1 / -1'></div></div></li><li class='xr-section-item'><input id='section-f3b01355-ad29-4a00-8bbe-bdcb7071d9a3' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-f3b01355-ad29-4a00-8bbe-bdcb7071d9a3' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>latitude</span>: 9</li><li><span class='xr-has-index'>longitude</span>: 9</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-c2cc6258-5f81-42c9-9692-68356d4f8fa6' class='xr-section-summary-in' type='checkbox'  checked><label for='section-c2cc6258-5f81-42c9-9692-68356d4f8fa6' class='xr-section-summary' >Coordinates: <span>(8)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>isobaricInhPa</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-f301c531-b34f-4072-b8d8-b2f6e47a6374' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f301c531-b34f-4072-b8d8-b2f6e47a6374' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a1d73ef4-5708-4564-b40f-11c196f59592' class='xr-var-data-in' type='checkbox'><label for='data-a1d73ef4-5708-4564-b40f-11c196f59592' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>pressure</dd><dt><span>positive :</span></dt><dd>down</dd><dt><span>standard_name :</span></dt><dd>air_pressure</dd><dt><span>stored_direction :</span></dt><dd>decreasing</dd><dt><span>units :</span></dt><dd>hPa</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>latitude</span></div><div class='xr-var-dims'>(latitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>72.1 71.97 71.85 ... 71.22 71.09</div><input id='attrs-823199cc-d89f-483b-996f-bca15a941ed2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-823199cc-d89f-483b-996f-bca15a941ed2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-59612557-efb4-4287-94d8-93062850c5da' class='xr-var-data-in' type='checkbox'><label for='data-59612557-efb4-4287-94d8-93062850c5da' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>stored_direction :</span></dt><dd>decreasing</dd><dt><span>units :</span></dt><dd>degrees_north</dd></dl></div><div class='xr-var-data'><pre>array([72.1  , 71.974, 71.848, 71.722, 71.596, 71.47 , 71.344, 71.218, 71.09 ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>longitude</span></div><div class='xr-var-dims'>(longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-33.0 -32.62 ... -30.34 -29.96</div><input id='attrs-e99ddfd0-e826-4cdb-b60f-30b44f6e16b1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e99ddfd0-e826-4cdb-b60f-30b44f6e16b1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e9dce766-08da-4321-ba99-63ec33bb7783' class='xr-var-data-in' type='checkbox'><label for='data-e9dce766-08da-4321-ba99-63ec33bb7783' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd></dl></div><div class='xr-var-data'><pre>array([-33.001   , -32.621375, -32.24175 , -31.862125, -31.4825  , -31.102875,\n",
+       "       -30.72325 , -30.343625, -29.964   ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>number</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-e35cdc1c-620c-4f84-b1f4-03079b665b79' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e35cdc1c-620c-4f84-b1f4-03079b665b79' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-99a0c5f2-5cac-41fd-a680-d1e54e045f12' class='xr-var-data-in' type='checkbox'><label for='data-99a0c5f2-5cac-41fd-a680-d1e54e045f12' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>ensemble member numerical id</dd><dt><span>standard_name :</span></dt><dd>realization</dd><dt><span>units :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=int64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>step</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-1d704831-0a83-4340-b41f-032a14ca4fe2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1d704831-0a83-4340-b41f-032a14ca4fe2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b829940e-a240-4fa4-a854-1438eed29c04' class='xr-var-data-in' type='checkbox'><label for='data-b829940e-a240-4fa4-a854-1438eed29c04' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>time since forecast_reference_time</dd><dt><span>standard_name :</span></dt><dd>forecast_period</dd><dt><span>units :</span></dt><dd>nanoseconds</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=int64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>surface</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-125a502f-c05c-497a-b784-e225d55b0354' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-125a502f-c05c-497a-b784-e225d55b0354' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1a39cd7b-38bd-43c4-9db1-a13c38abd253' class='xr-var-data-in' type='checkbox'><label for='data-1a39cd7b-38bd-43c4-9db1-a13c38abd253' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>original GRIB coordinate for key: level(surface)</dd><dt><span>units :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>time</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-b21777c8-c304-4a63-8dd7-d31f9f0df632' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b21777c8-c304-4a63-8dd7-d31f9f0df632' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d0bd294b-023f-43f1-b5e1-5f11a19521f0' class='xr-var-data-in' type='checkbox'><label for='data-d0bd294b-023f-43f1-b5e1-5f11a19521f0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>initial time of forecast</dd><dt><span>standard_name :</span></dt><dd>forecast_reference_time</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=datetime64[ns]]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>valid_time</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-07f75ef6-5db0-485b-8838-1cd68e37d0c1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-07f75ef6-5db0-485b-8838-1cd68e37d0c1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-23488af5-d367-4c56-bd25-a2005547044e' class='xr-var-data-in' type='checkbox'><label for='data-23488af5-d367-4c56-bd25-a2005547044e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>time</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=datetime64[ns]]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-5409dd47-ec57-43c0-bc11-4b2d053a2fae' class='xr-section-summary-in' type='checkbox'  checked><label for='section-5409dd47-ec57-43c0-bc11-4b2d053a2fae' class='xr-section-summary' >Data variables: <span>(6)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>msl</span></div><div class='xr-var-dims'>(latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9, 9), meta=np.ndarray&gt;</div><input id='attrs-78bde94f-e6be-4666-8bce-6d4fb8f5c67e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-78bde94f-e6be-4666-8bce-6d4fb8f5c67e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9c8af0f4-8753-44fb-8522-e5aecc7b6500' class='xr-var-data-in' type='checkbox'><label for='data-9c8af0f4-8753-44fb-8522-e5aecc7b6500' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>9</dd><dt><span>GRIB_Ny :</span></dt><dd>9</dd><dt><span>GRIB_cfName :</span></dt><dd>air_pressure_at_mean_sea_level</dd><dt><span>GRIB_cfVarName :</span></dt><dd>msl</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.38</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.126</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>72.1</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>71.09</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-33.001</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-29.964</dd><dt><span>GRIB_missingValue :</span></dt><dd>3.4028234663852886e+38</dd><dt><span>GRIB_name :</span></dt><dd>Mean sea level pressure</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>81</dd><dt><span>GRIB_paramId :</span></dt><dd>151</dd><dt><span>GRIB_shortName :</span></dt><dd>msl</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>0</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>Pa</dd><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;number&#x27;, &#x27;time&#x27;, &#x27;step&#x27;, &#x27;surface&#x27;, &#x27;latitude&#x27;, &#x27;longitude&#x27;, &#x27;valid_time&#x27;, &#x27;isobaricInhPa&#x27;], &#x27;dimensions&#x27;: [&#x27;latitude&#x27;, &#x27;longitude&#x27;], &#x27;long_name&#x27;: &#x27;Mean sea level pressure&#x27;, &#x27;standard_name&#x27;: &#x27;air_pressure_at_mean_sea_level&#x27;, &#x27;units&#x27;: &#x27;Pa&#x27;}</dd><dt><span>long_name :</span></dt><dd>Mean sea level pressure</dd><dt><span>standard_name :</span></dt><dd>air_pressure_at_mean_sea_level</dd><dt><span>units :</span></dt><dd>Pa</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -30181,7 +29181,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>r</span></div><div class='xr-var-dims'>(latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9, 9), meta=np.ndarray&gt;</div><input id='attrs-86460fb2-f9a7-4425-8c1f-3f1573eeb7bb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-86460fb2-f9a7-4425-8c1f-3f1573eeb7bb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5b23c8d0-f56a-4576-938d-df38ee04f00e' class='xr-var-data-in' type='checkbox'><label for='data-5b23c8d0-f56a-4576-938d-df38ee04f00e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>9</dd><dt><span>GRIB_Ny :</span></dt><dd>9</dd><dt><span>GRIB_cfName :</span></dt><dd>relative_humidity</dd><dt><span>GRIB_cfVarName :</span></dt><dd>r</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.18</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.125</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>47.854</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>46.857</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>9.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>10.44</dd><dt><span>GRIB_missingValue :</span></dt><dd>3.4028234663852886e+38</dd><dt><span>GRIB_name :</span></dt><dd>Relative humidity</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>81</dd><dt><span>GRIB_paramId :</span></dt><dd>157</dd><dt><span>GRIB_shortName :</span></dt><dd>r</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>0</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>isobaricInhPa</dd><dt><span>GRIB_units :</span></dt><dd>%</dd><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;number&#x27;, &#x27;time&#x27;, &#x27;step&#x27;, &#x27;surface&#x27;, &#x27;latitude&#x27;, &#x27;longitude&#x27;, &#x27;valid_time&#x27;, &#x27;isobaricInhPa&#x27;], &#x27;dimensions&#x27;: [&#x27;latitude&#x27;, &#x27;longitude&#x27;], &#x27;units&#x27;: &#x27;%&#x27;}</dd><dt><span>long_name :</span></dt><dd>Relative humidity</dd><dt><span>standard_name :</span></dt><dd>relative_humidity</dd><dt><span>units :</span></dt><dd>%</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>r</span></div><div class='xr-var-dims'>(latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9, 9), meta=np.ndarray&gt;</div><input id='attrs-01745823-588a-4cfb-a402-84f7009d85f6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-01745823-588a-4cfb-a402-84f7009d85f6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-becafaf6-88d0-48c1-ada6-19c7397becb7' class='xr-var-data-in' type='checkbox'><label for='data-becafaf6-88d0-48c1-ada6-19c7397becb7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>9</dd><dt><span>GRIB_Ny :</span></dt><dd>9</dd><dt><span>GRIB_cfName :</span></dt><dd>relative_humidity</dd><dt><span>GRIB_cfVarName :</span></dt><dd>r</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.38</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.126</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>72.1</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>71.09</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-33.001</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-29.964</dd><dt><span>GRIB_missingValue :</span></dt><dd>3.4028234663852886e+38</dd><dt><span>GRIB_name :</span></dt><dd>Relative humidity</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>81</dd><dt><span>GRIB_paramId :</span></dt><dd>157</dd><dt><span>GRIB_shortName :</span></dt><dd>r</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>0</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>isobaricInhPa</dd><dt><span>GRIB_units :</span></dt><dd>%</dd><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;number&#x27;, &#x27;time&#x27;, &#x27;step&#x27;, &#x27;surface&#x27;, &#x27;latitude&#x27;, &#x27;longitude&#x27;, &#x27;valid_time&#x27;, &#x27;isobaricInhPa&#x27;], &#x27;dimensions&#x27;: [&#x27;latitude&#x27;, &#x27;longitude&#x27;], &#x27;long_name&#x27;: &#x27;Relative humidity&#x27;, &#x27;standard_name&#x27;: &#x27;relative_humidity&#x27;, &#x27;units&#x27;: &#x27;%&#x27;}</dd><dt><span>long_name :</span></dt><dd>Relative humidity</dd><dt><span>standard_name :</span></dt><dd>relative_humidity</dd><dt><span>units :</span></dt><dd>%</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -30236,7 +29236,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tco3</span></div><div class='xr-var-dims'>(latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9, 9), meta=np.ndarray&gt;</div><input id='attrs-7b198615-8d0a-4655-9b49-f090d6b27e17' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7b198615-8d0a-4655-9b49-f090d6b27e17' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-73deb7fc-c085-4437-82ea-395861666d0a' class='xr-var-data-in' type='checkbox'><label for='data-73deb7fc-c085-4437-82ea-395861666d0a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>9</dd><dt><span>GRIB_Ny :</span></dt><dd>9</dd><dt><span>GRIB_cfName :</span></dt><dd>atmosphere_mass_content_of_ozone</dd><dt><span>GRIB_cfVarName :</span></dt><dd>tco3</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.18</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.125</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>47.854</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>46.857</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>9.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>10.44</dd><dt><span>GRIB_missingValue :</span></dt><dd>3.4028234663852886e+38</dd><dt><span>GRIB_name :</span></dt><dd>Total column ozone</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>81</dd><dt><span>GRIB_paramId :</span></dt><dd>206</dd><dt><span>GRIB_shortName :</span></dt><dd>tco3</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>0</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>kg m**-2</dd><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;number&#x27;, &#x27;time&#x27;, &#x27;step&#x27;, &#x27;surface&#x27;, &#x27;latitude&#x27;, &#x27;longitude&#x27;, &#x27;valid_time&#x27;, &#x27;isobaricInhPa&#x27;], &#x27;dimensions&#x27;: [&#x27;latitude&#x27;, &#x27;longitude&#x27;], &#x27;units&#x27;: &#x27;kg m**-2&#x27;}</dd><dt><span>long_name :</span></dt><dd>Total column ozone</dd><dt><span>standard_name :</span></dt><dd>atmosphere_mass_content_of_ozone</dd><dt><span>units :</span></dt><dd>kg m**-2</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tco3</span></div><div class='xr-var-dims'>(latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9, 9), meta=np.ndarray&gt;</div><input id='attrs-10ac4cd1-c14d-4fbe-b7fc-1517e7dec593' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-10ac4cd1-c14d-4fbe-b7fc-1517e7dec593' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8a9e594c-3e62-4549-b1b7-1867dfc481bf' class='xr-var-data-in' type='checkbox'><label for='data-8a9e594c-3e62-4549-b1b7-1867dfc481bf' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>9</dd><dt><span>GRIB_Ny :</span></dt><dd>9</dd><dt><span>GRIB_cfName :</span></dt><dd>atmosphere_mass_content_of_ozone</dd><dt><span>GRIB_cfVarName :</span></dt><dd>tco3</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.38</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.126</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>72.1</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>71.09</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-33.001</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-29.964</dd><dt><span>GRIB_missingValue :</span></dt><dd>3.4028234663852886e+38</dd><dt><span>GRIB_name :</span></dt><dd>Total column ozone</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>81</dd><dt><span>GRIB_paramId :</span></dt><dd>206</dd><dt><span>GRIB_shortName :</span></dt><dd>tco3</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>0</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>kg m**-2</dd><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;number&#x27;, &#x27;time&#x27;, &#x27;step&#x27;, &#x27;surface&#x27;, &#x27;latitude&#x27;, &#x27;longitude&#x27;, &#x27;valid_time&#x27;, &#x27;isobaricInhPa&#x27;], &#x27;dimensions&#x27;: [&#x27;latitude&#x27;, &#x27;longitude&#x27;], &#x27;long_name&#x27;: &#x27;Total column ozone&#x27;, &#x27;standard_name&#x27;: &#x27;atmosphere_mass_content_of_ozone&#x27;, &#x27;units&#x27;: &#x27;kg m**-2&#x27;}</dd><dt><span>long_name :</span></dt><dd>Total column ozone</dd><dt><span>standard_name :</span></dt><dd>atmosphere_mass_content_of_ozone</dd><dt><span>units :</span></dt><dd>kg m**-2</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -30291,7 +29291,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tcwv</span></div><div class='xr-var-dims'>(latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9, 9), meta=np.ndarray&gt;</div><input id='attrs-3676291c-6ea4-4fab-b2c8-0fd58d002584' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3676291c-6ea4-4fab-b2c8-0fd58d002584' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f452439f-731e-4f2a-b635-44fa1c637206' class='xr-var-data-in' type='checkbox'><label for='data-f452439f-731e-4f2a-b635-44fa1c637206' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>9</dd><dt><span>GRIB_Ny :</span></dt><dd>9</dd><dt><span>GRIB_cfName :</span></dt><dd>lwe_thickness_of_atmosphere_mass_content_of_water_vapor</dd><dt><span>GRIB_cfVarName :</span></dt><dd>tcwv</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.18</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.125</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>47.854</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>46.857</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>9.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>10.44</dd><dt><span>GRIB_missingValue :</span></dt><dd>3.4028234663852886e+38</dd><dt><span>GRIB_name :</span></dt><dd>Total column vertically-integrated water vapour</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>81</dd><dt><span>GRIB_paramId :</span></dt><dd>137</dd><dt><span>GRIB_shortName :</span></dt><dd>tcwv</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>0</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>kg m**-2</dd><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;number&#x27;, &#x27;time&#x27;, &#x27;step&#x27;, &#x27;surface&#x27;, &#x27;latitude&#x27;, &#x27;longitude&#x27;, &#x27;valid_time&#x27;, &#x27;isobaricInhPa&#x27;], &#x27;dimensions&#x27;: [&#x27;latitude&#x27;, &#x27;longitude&#x27;], &#x27;units&#x27;: &#x27;kg m**-2&#x27;}</dd><dt><span>long_name :</span></dt><dd>Total column vertically-integrated water vapour</dd><dt><span>standard_name :</span></dt><dd>lwe_thickness_of_atmosphere_mass_content_of_water_vapor</dd><dt><span>units :</span></dt><dd>kg m**-2</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tcwv</span></div><div class='xr-var-dims'>(latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9, 9), meta=np.ndarray&gt;</div><input id='attrs-d48bac31-5322-4db5-a953-35eec1259809' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d48bac31-5322-4db5-a953-35eec1259809' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-78711bcd-6849-4652-a2db-9a158a747a93' class='xr-var-data-in' type='checkbox'><label for='data-78711bcd-6849-4652-a2db-9a158a747a93' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>9</dd><dt><span>GRIB_Ny :</span></dt><dd>9</dd><dt><span>GRIB_cfName :</span></dt><dd>lwe_thickness_of_atmosphere_mass_content_of_water_vapor</dd><dt><span>GRIB_cfVarName :</span></dt><dd>tcwv</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.38</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.126</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>72.1</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>71.09</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-33.001</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-29.964</dd><dt><span>GRIB_missingValue :</span></dt><dd>3.4028234663852886e+38</dd><dt><span>GRIB_name :</span></dt><dd>Total column vertically-integrated water vapour</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>81</dd><dt><span>GRIB_paramId :</span></dt><dd>137</dd><dt><span>GRIB_shortName :</span></dt><dd>tcwv</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>0</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>kg m**-2</dd><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;number&#x27;, &#x27;time&#x27;, &#x27;step&#x27;, &#x27;surface&#x27;, &#x27;latitude&#x27;, &#x27;longitude&#x27;, &#x27;valid_time&#x27;, &#x27;isobaricInhPa&#x27;], &#x27;dimensions&#x27;: [&#x27;latitude&#x27;, &#x27;longitude&#x27;], &#x27;long_name&#x27;: &#x27;Total column vertically-integrated water vapour&#x27;, &#x27;standard_name&#x27;: &#x27;lwe_thickness_of_atmosphere_mass_content_of_water_vapor&#x27;, &#x27;units&#x27;: &#x27;kg m**-2&#x27;}</dd><dt><span>long_name :</span></dt><dd>Total column vertically-integrated water vapour</dd><dt><span>standard_name :</span></dt><dd>lwe_thickness_of_atmosphere_mass_content_of_water_vapor</dd><dt><span>units :</span></dt><dd>kg m**-2</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -30346,7 +29346,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>u10</span></div><div class='xr-var-dims'>(latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9, 9), meta=np.ndarray&gt;</div><input id='attrs-4f8845b6-0f23-40be-ae2c-6480b675ca6a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4f8845b6-0f23-40be-ae2c-6480b675ca6a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-97010b06-a5f5-434d-8ad6-16bfa49b84b0' class='xr-var-data-in' type='checkbox'><label for='data-97010b06-a5f5-434d-8ad6-16bfa49b84b0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>9</dd><dt><span>GRIB_Ny :</span></dt><dd>9</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>u10</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.18</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.125</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>47.854</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>46.857</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>9.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>10.44</dd><dt><span>GRIB_missingValue :</span></dt><dd>3.4028234663852886e+38</dd><dt><span>GRIB_name :</span></dt><dd>10 metre U wind component</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>81</dd><dt><span>GRIB_paramId :</span></dt><dd>165</dd><dt><span>GRIB_shortName :</span></dt><dd>10u</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>0</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>m s**-1</dd><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;number&#x27;, &#x27;time&#x27;, &#x27;step&#x27;, &#x27;surface&#x27;, &#x27;latitude&#x27;, &#x27;longitude&#x27;, &#x27;valid_time&#x27;, &#x27;isobaricInhPa&#x27;], &#x27;dimensions&#x27;: [&#x27;latitude&#x27;, &#x27;longitude&#x27;], &#x27;units&#x27;: &#x27;m s**-1&#x27;}</dd><dt><span>long_name :</span></dt><dd>10 metre U wind component</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>m s**-1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>u10</span></div><div class='xr-var-dims'>(latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9, 9), meta=np.ndarray&gt;</div><input id='attrs-8dd61a54-ad8a-46dd-8b7c-bc6bc043f1bf' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8dd61a54-ad8a-46dd-8b7c-bc6bc043f1bf' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a2219dd3-2292-4a09-bdd6-0f1d0dc68008' class='xr-var-data-in' type='checkbox'><label for='data-a2219dd3-2292-4a09-bdd6-0f1d0dc68008' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>9</dd><dt><span>GRIB_Ny :</span></dt><dd>9</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>u10</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.38</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.126</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>72.1</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>71.09</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-33.001</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-29.964</dd><dt><span>GRIB_missingValue :</span></dt><dd>3.4028234663852886e+38</dd><dt><span>GRIB_name :</span></dt><dd>10 metre U wind component</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>81</dd><dt><span>GRIB_paramId :</span></dt><dd>165</dd><dt><span>GRIB_shortName :</span></dt><dd>10u</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>0</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>m s**-1</dd><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;number&#x27;, &#x27;time&#x27;, &#x27;step&#x27;, &#x27;surface&#x27;, &#x27;latitude&#x27;, &#x27;longitude&#x27;, &#x27;valid_time&#x27;, &#x27;isobaricInhPa&#x27;], &#x27;dimensions&#x27;: [&#x27;latitude&#x27;, &#x27;longitude&#x27;], &#x27;long_name&#x27;: &#x27;10 metre U wind component&#x27;, &#x27;standard_name&#x27;: &#x27;unknown&#x27;, &#x27;units&#x27;: &#x27;m s**-1&#x27;}</dd><dt><span>long_name :</span></dt><dd>10 metre U wind component</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>m s**-1</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -30401,7 +29401,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>v10</span></div><div class='xr-var-dims'>(latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9, 9), meta=np.ndarray&gt;</div><input id='attrs-07df5e7a-f29a-4d57-9548-3427a430d72c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-07df5e7a-f29a-4d57-9548-3427a430d72c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fc862e31-07f9-408b-9a76-f501b24757e8' class='xr-var-data-in' type='checkbox'><label for='data-fc862e31-07f9-408b-9a76-f501b24757e8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>9</dd><dt><span>GRIB_Ny :</span></dt><dd>9</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>v10</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.18</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.125</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>47.854</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>46.857</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>9.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>10.44</dd><dt><span>GRIB_missingValue :</span></dt><dd>3.4028234663852886e+38</dd><dt><span>GRIB_name :</span></dt><dd>10 metre V wind component</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>81</dd><dt><span>GRIB_paramId :</span></dt><dd>166</dd><dt><span>GRIB_shortName :</span></dt><dd>10v</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>0</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>m s**-1</dd><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;number&#x27;, &#x27;time&#x27;, &#x27;step&#x27;, &#x27;surface&#x27;, &#x27;latitude&#x27;, &#x27;longitude&#x27;, &#x27;valid_time&#x27;, &#x27;isobaricInhPa&#x27;], &#x27;dimensions&#x27;: [&#x27;latitude&#x27;, &#x27;longitude&#x27;], &#x27;units&#x27;: &#x27;m s**-1&#x27;}</dd><dt><span>long_name :</span></dt><dd>10 metre V wind component</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>m s**-1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>v10</span></div><div class='xr-var-dims'>(latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9, 9), meta=np.ndarray&gt;</div><input id='attrs-a5a1ed30-bafa-46ef-9b78-992f9561c1ec' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a5a1ed30-bafa-46ef-9b78-992f9561c1ec' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-af8b5bbe-b235-4c2f-a74f-df9789b02e49' class='xr-var-data-in' type='checkbox'><label for='data-af8b5bbe-b235-4c2f-a74f-df9789b02e49' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>9</dd><dt><span>GRIB_Ny :</span></dt><dd>9</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>v10</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.38</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.126</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>72.1</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>71.09</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-33.001</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>-29.964</dd><dt><span>GRIB_missingValue :</span></dt><dd>3.4028234663852886e+38</dd><dt><span>GRIB_name :</span></dt><dd>10 metre V wind component</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>81</dd><dt><span>GRIB_paramId :</span></dt><dd>166</dd><dt><span>GRIB_shortName :</span></dt><dd>10v</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>0</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>m s**-1</dd><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;number&#x27;, &#x27;time&#x27;, &#x27;step&#x27;, &#x27;surface&#x27;, &#x27;latitude&#x27;, &#x27;longitude&#x27;, &#x27;valid_time&#x27;, &#x27;isobaricInhPa&#x27;], &#x27;dimensions&#x27;: [&#x27;latitude&#x27;, &#x27;longitude&#x27;], &#x27;long_name&#x27;: &#x27;10 metre V wind component&#x27;, &#x27;standard_name&#x27;: &#x27;unknown&#x27;, &#x27;units&#x27;: &#x27;m s**-1&#x27;}</dd><dt><span>long_name :</span></dt><dd>10 metre V wind component</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>m s**-1</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -30456,7 +29456,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-1ff79178-229c-41b8-97a7-25912532ea8b' class='xr-section-summary-in' type='checkbox'  checked><label for='section-1ff79178-229c-41b8-97a7-25912532ea8b' class='xr-section-summary' >Attributes: <span>(7)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>CF-1.7</dd><dt><span>GRIB_centre :</span></dt><dd>ecmf</dd><dt><span>GRIB_centreDescription :</span></dt><dd>European Centre for Medium-Range Weather Forecasts</dd><dt><span>GRIB_edition :</span></dt><dd>1</dd><dt><span>GRIB_subCentre :</span></dt><dd>0</dd><dt><span>history :</span></dt><dd>2025-02-27T09:49 GRIB to CDM+CF via cfgrib-0.9.10.4/ecCodes-2.34.1 with {&quot;source&quot;: &quot;tmp/S2A_MSIL2A_20240101T102431_N0510_R065_T32TNT_20240101T144052.SAFE/GRANULE/L2A_T32TNT_A044535_20240101T102736/AUX_DATA/AUX_ECMWFT&quot;, &quot;filter_by_keys&quot;: {}, &quot;encode_cf&quot;: [&quot;parameter&quot;, &quot;time&quot;, &quot;geography&quot;, &quot;vertical&quot;]}</dd><dt><span>institution :</span></dt><dd>European Centre for Medium-Range Weather Forecasts</dd></dl></div></li></ul></div></div></div></div></div></div></li><li class='xr-section-item'><input id='section-91666fe9-db8c-4657-865f-bd45ceb1ff8f' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-91666fe9-db8c-4657-865f-bd45ceb1ff8f' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-09cbfbc9-bc89-498a-adea-04607a91a90d' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-09cbfbc9-bc89-498a-adea-04607a91a90d' class='xr-section-summary'  title='Expand/collapse section'>Coordinates: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-f64ce81d-e398-4965-be25-49c81db0dc8c' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-f64ce81d-e398-4965-be25-49c81db0dc8c' class='xr-section-summary'  title='Expand/collapse section'>Data variables: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-4f8a7905-8b57-42da-8cc9-10737f8fb706' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-4f8a7905-8b57-42da-8cc9-10737f8fb706' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div></div></div></li><li class='xr-section-item'><input id='section-6519622a-92c4-4ea3-9f5e-d00b87a54125' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-6519622a-92c4-4ea3-9f5e-d00b87a54125' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-790fb129-96bd-481b-894b-e7abacc28ecd' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-790fb129-96bd-481b-894b-e7abacc28ecd' class='xr-section-summary'  title='Expand/collapse section'>Coordinates: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-e2416653-2acb-43b1-b6d8-805dbc76cc39' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-e2416653-2acb-43b1-b6d8-805dbc76cc39' class='xr-section-summary'  title='Expand/collapse section'>Data variables: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-88be5f9b-8e3e-4efb-8716-49bbd3085bf6' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-88be5f9b-8e3e-4efb-8716-49bbd3085bf6' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div><div style='display: inline-grid; grid-template-columns: 0px 20px auto; width: 100%;'><div style='grid-column-start: 1;border-right: 0.2em solid;border-color: var(--xr-border-color);height: 100%;width: 0px;'></div><div style='grid-column-start: 2;grid-row-start: 1;height: 1em;width: 20px;border-bottom: 0.2em solid;border-color: var(--xr-border-color);'></div><div style='grid-column-start: 3;'><div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
+       "</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-90641837-34bf-4a05-8adc-67ac963aea9d' class='xr-section-summary-in' type='checkbox'  checked><label for='section-90641837-34bf-4a05-8adc-67ac963aea9d' class='xr-section-summary' >Attributes: <span>(7)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>CF-1.7</dd><dt><span>GRIB_centre :</span></dt><dd>ecmf</dd><dt><span>GRIB_centreDescription :</span></dt><dd>European Centre for Medium-Range Weather Forecasts</dd><dt><span>GRIB_edition :</span></dt><dd>1</dd><dt><span>GRIB_subCentre :</span></dt><dd>0</dd><dt><span>history :</span></dt><dd>2025-04-16T04:00 GRIB to CDM+CF via cfgrib-0.9.10.4/ecCodes-2.34.1 with {&quot;source&quot;: &quot;../../mnt/data/eopf-conversion-fnl4h/S2B_MSIL2A_20250415T142749_N0511_R139_T25WEV_20250415T181516.SAFE/GRANULE/L2A_T25WEV_A042350_20250415T142954/AUX_DATA/AUX_ECMWFT&quot;, &quot;filter_by_keys&quot;: {}, &quot;encode_cf&quot;: [&quot;parameter&quot;, &quot;time&quot;, &quot;geography&quot;, &quot;vertical&quot;]}</dd><dt><span>institution :</span></dt><dd>European Centre for Medium-Range Weather Forecasts</dd></dl></div></li></ul></div></div></div></div></div></div></li><li class='xr-section-item'><input id='section-48d6cc4c-d4a4-47fe-b525-70affcbdd3de' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-48d6cc4c-d4a4-47fe-b525-70affcbdd3de' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-812b808a-d899-478b-8444-8ec62ac948ce' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-812b808a-d899-478b-8444-8ec62ac948ce' class='xr-section-summary'  title='Expand/collapse section'>Coordinates: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-ed45d3e1-2e87-4a16-b795-8feafec2b6cb' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-ed45d3e1-2e87-4a16-b795-8feafec2b6cb' class='xr-section-summary'  title='Expand/collapse section'>Data variables: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-9b9ee223-65df-4dc2-8bca-5a59f8dc2c12' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-9b9ee223-65df-4dc2-8bca-5a59f8dc2c12' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div></div></div></li><li class='xr-section-item'><input id='section-012eb4eb-1be6-416f-b4b8-9ec198931cb6' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-012eb4eb-1be6-416f-b4b8-9ec198931cb6' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-d337ba51-336a-431e-a5ac-60ce95e45f94' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-d337ba51-336a-431e-a5ac-60ce95e45f94' class='xr-section-summary'  title='Expand/collapse section'>Coordinates: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-da96d4ab-e198-4bb5-be27-407a0b56b738' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-da96d4ab-e198-4bb5-be27-407a0b56b738' class='xr-section-summary'  title='Expand/collapse section'>Data variables: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-3d958a1e-8d63-43f3-a409-4cd83deb0c30' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-3d958a1e-8d63-43f3-a409-4cd83deb0c30' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div><div style='display: inline-grid; grid-template-columns: 0px 20px auto; width: 100%;'><div style='grid-column-start: 1;border-right: 0.2em solid;border-color: var(--xr-border-color);height: 100%;width: 0px;'></div><div style='grid-column-start: 2;grid-row-start: 1;height: 1em;width: 20px;border-bottom: 0.2em solid;border-color: var(--xr-border-color);'></div><div style='grid-column-start: 3;'><div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
        "<defs>\n",
        "<symbol id=\"icon-database\" viewBox=\"0 0 32 32\">\n",
        "<path d=\"M16 0c-8.837 0-16 2.239-16 5v4c0 2.761 7.163 5 16 5s16-2.239 16-5v-4c0-2.761-7.163-5-16-5z\"></path>\n",
@@ -30829,7 +29829,7 @@
        "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DatasetView&gt; Size: 0B\n",
        "Dimensions:  ()\n",
        "Data variables:\n",
-       "    *empty*</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>measurements</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-3fadd807-4a77-4188-b39e-86b7883d93a5' class='xr-section-summary-in' type='checkbox'  ><label for='section-3fadd807-4a77-4188-b39e-86b7883d93a5' class='xr-section-summary' >Groups: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><div style='display: inline-grid; grid-template-columns: 100%; grid-column: 1 / -1'><div style='display: inline-grid; grid-template-columns: 0px 20px auto; width: 100%;'><div style='grid-column-start: 1;border-right: 0.2em solid;border-color: var(--xr-border-color);height: 1.2em;width: 0px;'></div><div style='grid-column-start: 2;grid-row-start: 1;height: 1em;width: 20px;border-bottom: 0.2em solid;border-color: var(--xr-border-color);'></div><div style='grid-column-start: 3;'><div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
+       "    *empty*</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>measurements</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-d0f00552-0db6-4a7e-9d44-d5e00fbcd682' class='xr-section-summary-in' type='checkbox'  ><label for='section-d0f00552-0db6-4a7e-9d44-d5e00fbcd682' class='xr-section-summary' >Groups: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><div style='display: inline-grid; grid-template-columns: 100%; grid-column: 1 / -1'><div style='display: inline-grid; grid-template-columns: 0px 20px auto; width: 100%;'><div style='grid-column-start: 1;border-right: 0.2em solid;border-color: var(--xr-border-color);height: 1.2em;width: 0px;'></div><div style='grid-column-start: 2;grid-row-start: 1;height: 1em;width: 20px;border-bottom: 0.2em solid;border-color: var(--xr-border-color);'></div><div style='grid-column-start: 3;'><div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
        "<defs>\n",
        "<symbol id=\"icon-database\" viewBox=\"0 0 32 32\">\n",
        "<path d=\"M16 0c-8.837 0-16 2.239-16 5v4c0 2.761 7.163 5 16 5s16-2.239 16-5v-4c0-2.761-7.163-5-16-5z\"></path>\n",
@@ -31202,7 +30202,7 @@
        "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DatasetView&gt; Size: 0B\n",
        "Dimensions:  ()\n",
        "Data variables:\n",
-       "    *empty*</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>reflectance</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-24c53caf-c0fa-4c86-9237-68f4914dc179' class='xr-section-summary-in' type='checkbox'  ><label for='section-24c53caf-c0fa-4c86-9237-68f4914dc179' class='xr-section-summary' >Groups: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><div style='display: inline-grid; grid-template-columns: 100%; grid-column: 1 / -1'><div style='display: inline-grid; grid-template-columns: 0px 20px auto; width: 100%;'><div style='grid-column-start: 1;border-right: 0.2em solid;border-color: var(--xr-border-color);height: 100%;width: 0px;'></div><div style='grid-column-start: 2;grid-row-start: 1;height: 1em;width: 20px;border-bottom: 0.2em solid;border-color: var(--xr-border-color);'></div><div style='grid-column-start: 3;'><div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
+       "    *empty*</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>reflectance</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-0ba68cea-2124-42cc-90da-7d104d84b767' class='xr-section-summary-in' type='checkbox'  ><label for='section-0ba68cea-2124-42cc-90da-7d104d84b767' class='xr-section-summary' >Groups: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><div style='display: inline-grid; grid-template-columns: 100%; grid-column: 1 / -1'><div style='display: inline-grid; grid-template-columns: 0px 20px auto; width: 100%;'><div style='grid-column-start: 1;border-right: 0.2em solid;border-color: var(--xr-border-color);height: 100%;width: 0px;'></div><div style='grid-column-start: 2;grid-row-start: 1;height: 1em;width: 20px;border-bottom: 0.2em solid;border-color: var(--xr-border-color);'></div><div style='grid-column-start: 3;'><div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
        "<defs>\n",
        "<symbol id=\"icon-database\" viewBox=\"0 0 32 32\">\n",
        "<path d=\"M16 0c-8.837 0-16 2.239-16 5v4c0 2.761 7.163 5 16 5s16-2.239 16-5v-4c0-2.761-7.163-5-16-5z\"></path>\n",
@@ -31576,12 +30576,13 @@
        "Dimensions:  (y: 10980, x: 10980)\n",
        "Coordinates:\n",
        "  * x        (x) int64 88kB 499985 499995 500005 500015 ... 609755 609765 609775\n",
-       "  * y        (y) int64 88kB 5300035 5300025 5300015 ... 5190265 5190255 5190245\n",
+       "  * y        (y) int64 88kB 8000035 8000025 8000015 ... 7890265 7890255 7890245\n",
        "Data variables:\n",
        "    b02      (y, x) float64 964MB dask.array&lt;chunksize=(1830, 1830), meta=np.ndarray&gt;\n",
        "    b03      (y, x) float64 964MB dask.array&lt;chunksize=(1830, 1830), meta=np.ndarray&gt;\n",
        "    b04      (y, x) float64 964MB dask.array&lt;chunksize=(1830, 1830), meta=np.ndarray&gt;\n",
-       "    b08      (y, x) float64 964MB dask.array&lt;chunksize=(1830, 1830), meta=np.ndarray&gt;</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>r10m</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-f0ac8fba-b9f7-4dd9-9189-71c3a694c247' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-f0ac8fba-b9f7-4dd9-9189-71c3a694c247' class='xr-section-summary'  title='Expand/collapse section'>Groups: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><div style='display: inline-grid; grid-template-columns: 100%; grid-column: 1 / -1'></div></div></li><li class='xr-section-item'><input id='section-62e2dd4d-d45d-42de-831a-8b4ec6adc45c' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-62e2dd4d-d45d-42de-831a-8b4ec6adc45c' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>y</span>: 10980</li><li><span class='xr-has-index'>x</span>: 10980</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-7eec3f4f-a2c3-4baf-b1fb-5d9d4aa2fac6' class='xr-section-summary-in' type='checkbox'  checked><label for='section-7eec3f4f-a2c3-4baf-b1fb-5d9d4aa2fac6' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>499985 499995 ... 609765 609775</div><input id='attrs-4f7645c5-1c30-4ef7-a8b5-b7125d2e770c' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-4f7645c5-1c30-4ef7-a8b5-b7125d2e770c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-09bf6fe4-3213-4595-addb-d1bb616696fe' class='xr-var-data-in' type='checkbox'><label for='data-09bf6fe4-3213-4595-addb-d1bb616696fe' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([499985, 499995, 500005, ..., 609755, 609765, 609775])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>5300035 5300025 ... 5190255 5190245</div><input id='attrs-a0267a91-2ac3-4ad5-9123-ad3f57cbfd57' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-a0267a91-2ac3-4ad5-9123-ad3f57cbfd57' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-53514ab0-3dfd-4c7d-9b68-84bcbbb83690' class='xr-var-data-in' type='checkbox'><label for='data-53514ab0-3dfd-4c7d-9b68-84bcbbb83690' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([5300035, 5300025, 5300015, ..., 5190265, 5190255, 5190245])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-da4a088c-b100-45ca-9ab9-f1df799e4433' class='xr-section-summary-in' type='checkbox'  checked><label for='section-da4a088c-b100-45ca-9ab9-f1df799e4433' class='xr-section-summary' >Data variables: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>b02</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1830, 1830), meta=np.ndarray&gt;</div><input id='attrs-e3a85a47-8c0e-4029-8749-c9e5322a3b29' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e3a85a47-8c0e-4029-8749-c9e5322a3b29' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-65fa62c5-773f-486b-a625-0df862ee7fda' class='xr-var-data-in' type='checkbox'><label for='data-65fa62c5-773f-486b-a625-0df862ee7fda' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;add_offset&#x27;: -0.1, &#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;fill_value&#x27;: 0, &#x27;scale_factor&#x27;: 0.0001, &#x27;units&#x27;: &#x27;digital_counts&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u2</dd><dt><span>fill_value :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>BOA reflectance from MSI acquisition at spectral band b02 492.7 nm</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 5190240.0, 609780.0, 5300040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32632</dd><dt><span>proj:shape :</span></dt><dd>[10980, 10980]</dd><dt><span>proj:transform :</span></dt><dd>[10.0, 0.0, 499980.0, 0.0, -10.0, 5300040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 32N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,9],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32632&quot;]]</dd><dt><span>units :</span></dt><dd>digital_counts</dd><dt><span>valid_max :</span></dt><dd>65535</dd><dt><span>valid_min :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    b08      (y, x) float64 964MB dask.array&lt;chunksize=(1830, 1830), meta=np.ndarray&gt;</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>r10m</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-7951157b-f1b0-40a8-bc87-72936a10d367' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-7951157b-f1b0-40a8-bc87-72936a10d367' class='xr-section-summary'  title='Expand/collapse section'>Groups: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><div style='display: inline-grid; grid-template-columns: 100%; grid-column: 1 / -1'></div></div></li><li class='xr-section-item'><input id='section-6d22f5f5-aabe-4048-9242-1b952e3a122d' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-6d22f5f5-aabe-4048-9242-1b952e3a122d' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>y</span>: 10980</li><li><span class='xr-has-index'>x</span>: 10980</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-233f0f83-81e1-4a68-ab29-00bc3ca92a02' class='xr-section-summary-in' type='checkbox'  checked><label for='section-233f0f83-81e1-4a68-ab29-00bc3ca92a02' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>499985 499995 ... 609765 609775</div><input id='attrs-f8c6d4a3-4f2c-4be2-8e5e-330b7b11f322' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-f8c6d4a3-4f2c-4be2-8e5e-330b7b11f322' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-69ba23ca-ce76-4c05-9581-06db42636193' class='xr-var-data-in' type='checkbox'><label for='data-69ba23ca-ce76-4c05-9581-06db42636193' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([499985, 499995, 500005, ..., 609755, 609765, 609775], shape=(10980,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>8000035 8000025 ... 7890255 7890245</div><input id='attrs-883af7bf-b8e2-47b4-9700-ad1d3dbb852a' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-883af7bf-b8e2-47b4-9700-ad1d3dbb852a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-37964b6d-306a-41b9-a5f6-91e98e766166' class='xr-var-data-in' type='checkbox'><label for='data-37964b6d-306a-41b9-a5f6-91e98e766166' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([8000035, 8000025, 8000015, ..., 7890265, 7890255, 7890245],\n",
+       "      shape=(10980,))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-9ea8c33c-de05-458f-bc49-998bb98a6020' class='xr-section-summary-in' type='checkbox'  checked><label for='section-9ea8c33c-de05-458f-bc49-998bb98a6020' class='xr-section-summary' >Data variables: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>b02</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1830, 1830), meta=np.ndarray&gt;</div><input id='attrs-7b1473d8-4238-4655-91be-4f64d14ff856' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7b1473d8-4238-4655-91be-4f64d14ff856' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3a54d8a3-a0ad-46dc-a08d-0eec53d628f9' class='xr-var-data-in' type='checkbox'><label for='data-3a54d8a3-a0ad-46dc-a08d-0eec53d628f9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;add_offset&#x27;: -0.1, &#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;dtype&#x27;: &#x27;&lt;u2&#x27;, &#x27;fill_value&#x27;: 0, &#x27;long_name&#x27;: &#x27;BOA reflectance from MSI acquisition at spectral band b02 492.3 nm&#x27;, &#x27;scale_factor&#x27;: 0.0001, &#x27;units&#x27;: &#x27;digital_counts&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u2</dd><dt><span>fill_value :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>BOA reflectance from MSI acquisition at spectral band b02 492.3 nm</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 7890240.0, 609780.0, 8000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32625</dd><dt><span>proj:shape :</span></dt><dd>[10980, 10980]</dd><dt><span>proj:transform :</span></dt><dd>[10.0, 0.0, 499980.0, 0.0, -10.0, 8000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 25N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,-33],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32625&quot;]]</dd><dt><span>units :</span></dt><dd>digital_counts</dd><dt><span>valid_max :</span></dt><dd>65535</dd><dt><span>valid_min :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -31646,7 +30647,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b03</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1830, 1830), meta=np.ndarray&gt;</div><input id='attrs-4f05e3bf-9dcc-47be-84dd-c5c0252d4648' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4f05e3bf-9dcc-47be-84dd-c5c0252d4648' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fbcf0161-9c9e-4dca-bf30-e0e2f7a957a6' class='xr-var-data-in' type='checkbox'><label for='data-fbcf0161-9c9e-4dca-bf30-e0e2f7a957a6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;add_offset&#x27;: -0.1, &#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;fill_value&#x27;: 0, &#x27;scale_factor&#x27;: 0.0001, &#x27;units&#x27;: &#x27;digital_counts&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u2</dd><dt><span>fill_value :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>BOA reflectance from MSI acquisition at spectral band b03 559.8 nm</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 5190240.0, 609780.0, 5300040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32632</dd><dt><span>proj:shape :</span></dt><dd>[10980, 10980]</dd><dt><span>proj:transform :</span></dt><dd>[10.0, 0.0, 499980.0, 0.0, -10.0, 5300040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 32N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,9],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32632&quot;]]</dd><dt><span>units :</span></dt><dd>digital_counts</dd><dt><span>valid_max :</span></dt><dd>65535</dd><dt><span>valid_min :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b03</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1830, 1830), meta=np.ndarray&gt;</div><input id='attrs-ecc061d0-3efa-4261-aa60-06885490a06f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ecc061d0-3efa-4261-aa60-06885490a06f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-27ccdfd3-b51a-4119-be8c-7f3e66797eff' class='xr-var-data-in' type='checkbox'><label for='data-27ccdfd3-b51a-4119-be8c-7f3e66797eff' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;add_offset&#x27;: -0.1, &#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;dtype&#x27;: &#x27;&lt;u2&#x27;, &#x27;fill_value&#x27;: 0, &#x27;long_name&#x27;: &#x27;BOA reflectance from MSI acquisition at spectral band b03 559.0 nm&#x27;, &#x27;scale_factor&#x27;: 0.0001, &#x27;units&#x27;: &#x27;digital_counts&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u2</dd><dt><span>fill_value :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>BOA reflectance from MSI acquisition at spectral band b03 559.0 nm</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 7890240.0, 609780.0, 8000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32625</dd><dt><span>proj:shape :</span></dt><dd>[10980, 10980]</dd><dt><span>proj:transform :</span></dt><dd>[10.0, 0.0, 499980.0, 0.0, -10.0, 8000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 25N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,-33],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32625&quot;]]</dd><dt><span>units :</span></dt><dd>digital_counts</dd><dt><span>valid_max :</span></dt><dd>65535</dd><dt><span>valid_min :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -31711,7 +30712,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b04</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1830, 1830), meta=np.ndarray&gt;</div><input id='attrs-0d3cb70f-d1bf-4fcd-9a50-a13a1c32d721' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0d3cb70f-d1bf-4fcd-9a50-a13a1c32d721' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f7262cce-dff7-4766-8a35-95b9e9e3e5bf' class='xr-var-data-in' type='checkbox'><label for='data-f7262cce-dff7-4766-8a35-95b9e9e3e5bf' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;add_offset&#x27;: -0.1, &#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;fill_value&#x27;: 0, &#x27;scale_factor&#x27;: 0.0001, &#x27;units&#x27;: &#x27;digital_counts&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u2</dd><dt><span>fill_value :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>BOA reflectance from MSI acquisition at spectral band b04 664.6 nm</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 5190240.0, 609780.0, 5300040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32632</dd><dt><span>proj:shape :</span></dt><dd>[10980, 10980]</dd><dt><span>proj:transform :</span></dt><dd>[10.0, 0.0, 499980.0, 0.0, -10.0, 5300040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 32N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,9],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32632&quot;]]</dd><dt><span>units :</span></dt><dd>digital_counts</dd><dt><span>valid_max :</span></dt><dd>65535</dd><dt><span>valid_min :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b04</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1830, 1830), meta=np.ndarray&gt;</div><input id='attrs-022be5c8-a2ad-4264-91d9-d186340f051a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-022be5c8-a2ad-4264-91d9-d186340f051a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ec52de04-ea77-48ab-8167-0aadbbb60302' class='xr-var-data-in' type='checkbox'><label for='data-ec52de04-ea77-48ab-8167-0aadbbb60302' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;add_offset&#x27;: -0.1, &#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;dtype&#x27;: &#x27;&lt;u2&#x27;, &#x27;fill_value&#x27;: 0, &#x27;long_name&#x27;: &#x27;BOA reflectance from MSI acquisition at spectral band b04 665.0 nm&#x27;, &#x27;scale_factor&#x27;: 0.0001, &#x27;units&#x27;: &#x27;digital_counts&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u2</dd><dt><span>fill_value :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>BOA reflectance from MSI acquisition at spectral band b04 665.0 nm</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 7890240.0, 609780.0, 8000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32625</dd><dt><span>proj:shape :</span></dt><dd>[10980, 10980]</dd><dt><span>proj:transform :</span></dt><dd>[10.0, 0.0, 499980.0, 0.0, -10.0, 8000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 25N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,-33],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32625&quot;]]</dd><dt><span>units :</span></dt><dd>digital_counts</dd><dt><span>valid_max :</span></dt><dd>65535</dd><dt><span>valid_min :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -31776,7 +30777,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b08</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1830, 1830), meta=np.ndarray&gt;</div><input id='attrs-dd001ba4-c4a5-4c47-b785-64cb05528248' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-dd001ba4-c4a5-4c47-b785-64cb05528248' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b956e075-183e-4eeb-9b78-a93cda903c7a' class='xr-var-data-in' type='checkbox'><label for='data-b956e075-183e-4eeb-9b78-a93cda903c7a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;add_offset&#x27;: -0.1, &#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;fill_value&#x27;: 0, &#x27;scale_factor&#x27;: 0.0001, &#x27;units&#x27;: &#x27;digital_counts&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u2</dd><dt><span>fill_value :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>BOA reflectance from MSI acquisition at spectral band b08 832.8 nm</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 5190240.0, 609780.0, 5300040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32632</dd><dt><span>proj:shape :</span></dt><dd>[10980, 10980]</dd><dt><span>proj:transform :</span></dt><dd>[10.0, 0.0, 499980.0, 0.0, -10.0, 5300040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 32N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,9],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32632&quot;]]</dd><dt><span>units :</span></dt><dd>digital_counts</dd><dt><span>valid_max :</span></dt><dd>65535</dd><dt><span>valid_min :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b08</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1830, 1830), meta=np.ndarray&gt;</div><input id='attrs-02f4d04c-bdda-4e8b-a8bc-0dedfe75145b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-02f4d04c-bdda-4e8b-a8bc-0dedfe75145b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6100471c-8f57-46ba-88e9-71963b2e3f9b' class='xr-var-data-in' type='checkbox'><label for='data-6100471c-8f57-46ba-88e9-71963b2e3f9b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;add_offset&#x27;: -0.1, &#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;dtype&#x27;: &#x27;&lt;u2&#x27;, &#x27;fill_value&#x27;: 0, &#x27;long_name&#x27;: &#x27;BOA reflectance from MSI acquisition at spectral band b08 833.0 nm&#x27;, &#x27;scale_factor&#x27;: 0.0001, &#x27;units&#x27;: &#x27;digital_counts&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u2</dd><dt><span>fill_value :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>BOA reflectance from MSI acquisition at spectral band b08 833.0 nm</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 7890240.0, 609780.0, 8000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32625</dd><dt><span>proj:shape :</span></dt><dd>[10980, 10980]</dd><dt><span>proj:transform :</span></dt><dd>[10.0, 0.0, 499980.0, 0.0, -10.0, 8000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 25N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,-33],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32625&quot;]]</dd><dt><span>units :</span></dt><dd>digital_counts</dd><dt><span>valid_max :</span></dt><dd>65535</dd><dt><span>valid_min :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -31841,7 +30842,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-3150d168-d0eb-4003-be6f-a5af36c1d56d' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-3150d168-d0eb-4003-be6f-a5af36c1d56d' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div><div style='display: inline-grid; grid-template-columns: 0px 20px auto; width: 100%;'><div style='grid-column-start: 1;border-right: 0.2em solid;border-color: var(--xr-border-color);height: 100%;width: 0px;'></div><div style='grid-column-start: 2;grid-row-start: 1;height: 1em;width: 20px;border-bottom: 0.2em solid;border-color: var(--xr-border-color);'></div><div style='grid-column-start: 3;'><div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
+       "</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-2fb30114-d106-4746-8b7e-df4a8f19bd3c' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-2fb30114-d106-4746-8b7e-df4a8f19bd3c' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div><div style='display: inline-grid; grid-template-columns: 0px 20px auto; width: 100%;'><div style='grid-column-start: 1;border-right: 0.2em solid;border-color: var(--xr-border-color);height: 100%;width: 0px;'></div><div style='grid-column-start: 2;grid-row-start: 1;height: 1em;width: 20px;border-bottom: 0.2em solid;border-color: var(--xr-border-color);'></div><div style='grid-column-start: 3;'><div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
        "<defs>\n",
        "<symbol id=\"icon-database\" viewBox=\"0 0 32 32\">\n",
        "<path d=\"M16 0c-8.837 0-16 2.239-16 5v4c0 2.761 7.163 5 16 5s16-2.239 16-5v-4c0-2.761-7.163-5-16-5z\"></path>\n",
@@ -32215,7 +31216,7 @@
        "Dimensions:  (y: 5490, x: 5490)\n",
        "Coordinates:\n",
        "  * x        (x) int64 44kB 499990 500010 500030 500050 ... 609730 609750 609770\n",
-       "  * y        (y) int64 44kB 5300030 5300010 5299990 ... 5190290 5190270 5190250\n",
+       "  * y        (y) int64 44kB 8000030 8000010 7999990 ... 7890290 7890270 7890250\n",
        "Data variables:\n",
        "    b01      (y, x) float64 241MB dask.array&lt;chunksize=(915, 915), meta=np.ndarray&gt;\n",
        "    b02      (y, x) float64 241MB dask.array&lt;chunksize=(915, 915), meta=np.ndarray&gt;\n",
@@ -32226,7 +31227,8 @@
        "    b07      (y, x) float64 241MB dask.array&lt;chunksize=(915, 915), meta=np.ndarray&gt;\n",
        "    b11      (y, x) float64 241MB dask.array&lt;chunksize=(915, 915), meta=np.ndarray&gt;\n",
        "    b12      (y, x) float64 241MB dask.array&lt;chunksize=(915, 915), meta=np.ndarray&gt;\n",
-       "    b8a      (y, x) float64 241MB dask.array&lt;chunksize=(915, 915), meta=np.ndarray&gt;</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>r20m</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-ea96b850-c81c-4612-8547-fd380caab2f1' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-ea96b850-c81c-4612-8547-fd380caab2f1' class='xr-section-summary'  title='Expand/collapse section'>Groups: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><div style='display: inline-grid; grid-template-columns: 100%; grid-column: 1 / -1'></div></div></li><li class='xr-section-item'><input id='section-781e9a5d-6f2c-420e-b983-44768ea76605' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-781e9a5d-6f2c-420e-b983-44768ea76605' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>y</span>: 5490</li><li><span class='xr-has-index'>x</span>: 5490</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-4e3daaf4-f2c7-4df7-8f98-39648ff07bc4' class='xr-section-summary-in' type='checkbox'  checked><label for='section-4e3daaf4-f2c7-4df7-8f98-39648ff07bc4' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>499990 500010 ... 609750 609770</div><input id='attrs-1973c09a-d310-4d34-9071-4fdb450f0c7c' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-1973c09a-d310-4d34-9071-4fdb450f0c7c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0a5d55a1-da9f-49ae-b7b0-effe75d36f94' class='xr-var-data-in' type='checkbox'><label for='data-0a5d55a1-da9f-49ae-b7b0-effe75d36f94' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([499990, 500010, 500030, ..., 609730, 609750, 609770])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>5300030 5300010 ... 5190270 5190250</div><input id='attrs-36946bc4-c6a9-4a9d-bf58-18bf48ef3551' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-36946bc4-c6a9-4a9d-bf58-18bf48ef3551' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0063ccc5-6e0c-4df1-b5f0-c818d1de39ab' class='xr-var-data-in' type='checkbox'><label for='data-0063ccc5-6e0c-4df1-b5f0-c818d1de39ab' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([5300030, 5300010, 5299990, ..., 5190290, 5190270, 5190250])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-29d12462-efb3-484f-aea6-10084d1c4f0c' class='xr-section-summary-in' type='checkbox'  checked><label for='section-29d12462-efb3-484f-aea6-10084d1c4f0c' class='xr-section-summary' >Data variables: <span>(10)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>b01</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(915, 915), meta=np.ndarray&gt;</div><input id='attrs-aa58b5a0-5b58-424c-a5e4-30e9de2cba43' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-aa58b5a0-5b58-424c-a5e4-30e9de2cba43' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-630c64c7-0aad-4f69-92ff-98e66223c91d' class='xr-var-data-in' type='checkbox'><label for='data-630c64c7-0aad-4f69-92ff-98e66223c91d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;add_offset&#x27;: -0.1, &#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;fill_value&#x27;: 0, &#x27;scale_factor&#x27;: 0.0001, &#x27;units&#x27;: &#x27;digital_counts&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u2</dd><dt><span>fill_value :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>BOA reflectance from MSI acquisition at spectral band b01 442.7 nm</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 5190240.0, 609780.0, 5300040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32632</dd><dt><span>proj:shape :</span></dt><dd>[5490, 5490]</dd><dt><span>proj:transform :</span></dt><dd>[20.0, 0.0, 499980.0, 0.0, -20.0, 5300040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 32N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,9],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32632&quot;]]</dd><dt><span>units :</span></dt><dd>digital_counts</dd><dt><span>valid_max :</span></dt><dd>65535</dd><dt><span>valid_min :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    b8a      (y, x) float64 241MB dask.array&lt;chunksize=(915, 915), meta=np.ndarray&gt;</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>r20m</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-607d1da1-c7d3-4efe-93f1-c48d904c8db0' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-607d1da1-c7d3-4efe-93f1-c48d904c8db0' class='xr-section-summary'  title='Expand/collapse section'>Groups: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><div style='display: inline-grid; grid-template-columns: 100%; grid-column: 1 / -1'></div></div></li><li class='xr-section-item'><input id='section-9681cef4-a182-447e-81eb-a7fd80474af9' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-9681cef4-a182-447e-81eb-a7fd80474af9' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>y</span>: 5490</li><li><span class='xr-has-index'>x</span>: 5490</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-382ed52f-4209-4c69-8e75-5e068a7b28f0' class='xr-section-summary-in' type='checkbox'  checked><label for='section-382ed52f-4209-4c69-8e75-5e068a7b28f0' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>499990 500010 ... 609750 609770</div><input id='attrs-93565696-01a9-4e0f-98c9-9d8cd328e624' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-93565696-01a9-4e0f-98c9-9d8cd328e624' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3d95cff8-eb9c-4ab1-821a-80a7a6d7376b' class='xr-var-data-in' type='checkbox'><label for='data-3d95cff8-eb9c-4ab1-821a-80a7a6d7376b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([499990, 500010, 500030, ..., 609730, 609750, 609770], shape=(5490,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>8000030 8000010 ... 7890270 7890250</div><input id='attrs-c02b86cd-3880-4d63-bd44-ab2ccd9e02e4' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-c02b86cd-3880-4d63-bd44-ab2ccd9e02e4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-44695a45-139c-4504-9163-96617d2c9c0b' class='xr-var-data-in' type='checkbox'><label for='data-44695a45-139c-4504-9163-96617d2c9c0b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([8000030, 8000010, 7999990, ..., 7890290, 7890270, 7890250],\n",
+       "      shape=(5490,))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-593c97e1-ca06-46fe-9dbf-77165c062a57' class='xr-section-summary-in' type='checkbox'  checked><label for='section-593c97e1-ca06-46fe-9dbf-77165c062a57' class='xr-section-summary' >Data variables: <span>(10)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>b01</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(915, 915), meta=np.ndarray&gt;</div><input id='attrs-49e45e49-2fe7-427e-991b-f7f695e0bae7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-49e45e49-2fe7-427e-991b-f7f695e0bae7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9ef2d7d6-f890-4b02-97df-8e06734ba6eb' class='xr-var-data-in' type='checkbox'><label for='data-9ef2d7d6-f890-4b02-97df-8e06734ba6eb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;add_offset&#x27;: -0.1, &#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;dtype&#x27;: &#x27;&lt;u2&#x27;, &#x27;fill_value&#x27;: 0, &#x27;long_name&#x27;: &#x27;BOA reflectance from MSI acquisition at spectral band b01 442.3 nm&#x27;, &#x27;scale_factor&#x27;: 0.0001, &#x27;units&#x27;: &#x27;digital_counts&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u2</dd><dt><span>fill_value :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>BOA reflectance from MSI acquisition at spectral band b01 442.3 nm</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 7890240.0, 609780.0, 8000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32625</dd><dt><span>proj:shape :</span></dt><dd>[5490, 5490]</dd><dt><span>proj:transform :</span></dt><dd>[20.0, 0.0, 499980.0, 0.0, -20.0, 8000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 25N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,-33],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32625&quot;]]</dd><dt><span>units :</span></dt><dd>digital_counts</dd><dt><span>valid_max :</span></dt><dd>65535</dd><dt><span>valid_min :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -32291,7 +31293,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b02</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(915, 915), meta=np.ndarray&gt;</div><input id='attrs-6adf144d-94d5-45a1-a140-52b38afbd5a4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6adf144d-94d5-45a1-a140-52b38afbd5a4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a4590231-d984-4c14-a184-c83f98ef51bf' class='xr-var-data-in' type='checkbox'><label for='data-a4590231-d984-4c14-a184-c83f98ef51bf' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;add_offset&#x27;: -0.1, &#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;fill_value&#x27;: 0, &#x27;scale_factor&#x27;: 0.0001, &#x27;units&#x27;: &#x27;digital_counts&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u2</dd><dt><span>fill_value :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>BOA reflectance from MSI acquisition at spectral band b02 492.7 nm</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 5190240.0, 609780.0, 5300040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32632</dd><dt><span>proj:shape :</span></dt><dd>[5490, 5490]</dd><dt><span>proj:transform :</span></dt><dd>[20.0, 0.0, 499980.0, 0.0, -20.0, 5300040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 32N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,9],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32632&quot;]]</dd><dt><span>units :</span></dt><dd>digital_counts</dd><dt><span>valid_max :</span></dt><dd>65535</dd><dt><span>valid_min :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b02</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(915, 915), meta=np.ndarray&gt;</div><input id='attrs-6211f18b-cf44-4e5c-8cf2-3d6d29748b63' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6211f18b-cf44-4e5c-8cf2-3d6d29748b63' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5a9edaed-7c32-4051-8803-d3e894b305b5' class='xr-var-data-in' type='checkbox'><label for='data-5a9edaed-7c32-4051-8803-d3e894b305b5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;add_offset&#x27;: -0.1, &#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;dtype&#x27;: &#x27;&lt;u2&#x27;, &#x27;fill_value&#x27;: 0, &#x27;long_name&#x27;: &#x27;BOA reflectance from MSI acquisition at spectral band b02 492.3 nm&#x27;, &#x27;scale_factor&#x27;: 0.0001, &#x27;units&#x27;: &#x27;digital_counts&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u2</dd><dt><span>fill_value :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>BOA reflectance from MSI acquisition at spectral band b02 492.3 nm</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 7890240.0, 609780.0, 8000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32625</dd><dt><span>proj:shape :</span></dt><dd>[5490, 5490]</dd><dt><span>proj:transform :</span></dt><dd>[20.0, 0.0, 499980.0, 0.0, -20.0, 8000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 25N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,-33],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32625&quot;]]</dd><dt><span>units :</span></dt><dd>digital_counts</dd><dt><span>valid_max :</span></dt><dd>65535</dd><dt><span>valid_min :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -32356,7 +31358,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b03</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(915, 915), meta=np.ndarray&gt;</div><input id='attrs-f0b02593-8daa-4071-b4dd-8a9982f3a42f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f0b02593-8daa-4071-b4dd-8a9982f3a42f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-557c17f0-5b76-4f16-964d-c12050de94cb' class='xr-var-data-in' type='checkbox'><label for='data-557c17f0-5b76-4f16-964d-c12050de94cb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;add_offset&#x27;: -0.1, &#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;fill_value&#x27;: 0, &#x27;scale_factor&#x27;: 0.0001, &#x27;units&#x27;: &#x27;digital_counts&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u2</dd><dt><span>fill_value :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>BOA reflectance from MSI acquisition at spectral band b03 559.8 nm</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 5190240.0, 609780.0, 5300040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32632</dd><dt><span>proj:shape :</span></dt><dd>[5490, 5490]</dd><dt><span>proj:transform :</span></dt><dd>[20.0, 0.0, 499980.0, 0.0, -20.0, 5300040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 32N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,9],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32632&quot;]]</dd><dt><span>units :</span></dt><dd>digital_counts</dd><dt><span>valid_max :</span></dt><dd>65535</dd><dt><span>valid_min :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b03</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(915, 915), meta=np.ndarray&gt;</div><input id='attrs-82d6fb3b-b5fe-4cbd-9280-da4f079d3d0f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-82d6fb3b-b5fe-4cbd-9280-da4f079d3d0f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4e05f50f-96a6-4630-8c93-b6ec1f8d32c3' class='xr-var-data-in' type='checkbox'><label for='data-4e05f50f-96a6-4630-8c93-b6ec1f8d32c3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;add_offset&#x27;: -0.1, &#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;dtype&#x27;: &#x27;&lt;u2&#x27;, &#x27;fill_value&#x27;: 0, &#x27;long_name&#x27;: &#x27;BOA reflectance from MSI acquisition at spectral band b03 559.0 nm&#x27;, &#x27;scale_factor&#x27;: 0.0001, &#x27;units&#x27;: &#x27;digital_counts&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u2</dd><dt><span>fill_value :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>BOA reflectance from MSI acquisition at spectral band b03 559.0 nm</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 7890240.0, 609780.0, 8000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32625</dd><dt><span>proj:shape :</span></dt><dd>[5490, 5490]</dd><dt><span>proj:transform :</span></dt><dd>[20.0, 0.0, 499980.0, 0.0, -20.0, 8000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 25N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,-33],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32625&quot;]]</dd><dt><span>units :</span></dt><dd>digital_counts</dd><dt><span>valid_max :</span></dt><dd>65535</dd><dt><span>valid_min :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -32421,7 +31423,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b04</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(915, 915), meta=np.ndarray&gt;</div><input id='attrs-61c908e0-e84b-45a6-b814-d6276d6f2c18' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-61c908e0-e84b-45a6-b814-d6276d6f2c18' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ff419c1c-f8ee-4aad-bcad-d7063ab12ff0' class='xr-var-data-in' type='checkbox'><label for='data-ff419c1c-f8ee-4aad-bcad-d7063ab12ff0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;add_offset&#x27;: -0.1, &#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;fill_value&#x27;: 0, &#x27;scale_factor&#x27;: 0.0001, &#x27;units&#x27;: &#x27;digital_counts&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u2</dd><dt><span>fill_value :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>BOA reflectance from MSI acquisition at spectral band b04 664.6 nm</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 5190240.0, 609780.0, 5300040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32632</dd><dt><span>proj:shape :</span></dt><dd>[5490, 5490]</dd><dt><span>proj:transform :</span></dt><dd>[20.0, 0.0, 499980.0, 0.0, -20.0, 5300040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 32N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,9],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32632&quot;]]</dd><dt><span>units :</span></dt><dd>digital_counts</dd><dt><span>valid_max :</span></dt><dd>65535</dd><dt><span>valid_min :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b04</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(915, 915), meta=np.ndarray&gt;</div><input id='attrs-8d0cb0df-06d4-466b-8589-e0408634b745' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8d0cb0df-06d4-466b-8589-e0408634b745' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4c04bbdc-df4d-4c48-a803-d6393f3c9315' class='xr-var-data-in' type='checkbox'><label for='data-4c04bbdc-df4d-4c48-a803-d6393f3c9315' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;add_offset&#x27;: -0.1, &#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;dtype&#x27;: &#x27;&lt;u2&#x27;, &#x27;fill_value&#x27;: 0, &#x27;long_name&#x27;: &#x27;BOA reflectance from MSI acquisition at spectral band b04 665.0 nm&#x27;, &#x27;scale_factor&#x27;: 0.0001, &#x27;units&#x27;: &#x27;digital_counts&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u2</dd><dt><span>fill_value :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>BOA reflectance from MSI acquisition at spectral band b04 665.0 nm</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 7890240.0, 609780.0, 8000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32625</dd><dt><span>proj:shape :</span></dt><dd>[5490, 5490]</dd><dt><span>proj:transform :</span></dt><dd>[20.0, 0.0, 499980.0, 0.0, -20.0, 8000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 25N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,-33],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32625&quot;]]</dd><dt><span>units :</span></dt><dd>digital_counts</dd><dt><span>valid_max :</span></dt><dd>65535</dd><dt><span>valid_min :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -32486,7 +31488,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b05</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(915, 915), meta=np.ndarray&gt;</div><input id='attrs-b109abc1-c479-4f26-abb7-b9d85dd2b947' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b109abc1-c479-4f26-abb7-b9d85dd2b947' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1ef082f9-ad6d-4dfa-ae1a-2cc55c85eb2a' class='xr-var-data-in' type='checkbox'><label for='data-1ef082f9-ad6d-4dfa-ae1a-2cc55c85eb2a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;add_offset&#x27;: -0.1, &#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;fill_value&#x27;: 0, &#x27;scale_factor&#x27;: 0.0001, &#x27;units&#x27;: &#x27;digital_counts&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u2</dd><dt><span>fill_value :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>BOA reflectance from MSI acquisition at spectral band b05 704.1 nm</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 5190240.0, 609780.0, 5300040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32632</dd><dt><span>proj:shape :</span></dt><dd>[5490, 5490]</dd><dt><span>proj:transform :</span></dt><dd>[20.0, 0.0, 499980.0, 0.0, -20.0, 5300040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 32N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,9],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32632&quot;]]</dd><dt><span>units :</span></dt><dd>digital_counts</dd><dt><span>valid_max :</span></dt><dd>65535</dd><dt><span>valid_min :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b05</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(915, 915), meta=np.ndarray&gt;</div><input id='attrs-08372326-621c-45fc-a2b8-0654fa22305b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-08372326-621c-45fc-a2b8-0654fa22305b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4c84663f-09f2-454b-a3bd-c967be25aea1' class='xr-var-data-in' type='checkbox'><label for='data-4c84663f-09f2-454b-a3bd-c967be25aea1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;add_offset&#x27;: -0.1, &#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;dtype&#x27;: &#x27;&lt;u2&#x27;, &#x27;fill_value&#x27;: 0, &#x27;long_name&#x27;: &#x27;BOA reflectance from MSI acquisition at spectral band b05 703.8 nm&#x27;, &#x27;scale_factor&#x27;: 0.0001, &#x27;units&#x27;: &#x27;digital_counts&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u2</dd><dt><span>fill_value :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>BOA reflectance from MSI acquisition at spectral band b05 703.8 nm</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 7890240.0, 609780.0, 8000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32625</dd><dt><span>proj:shape :</span></dt><dd>[5490, 5490]</dd><dt><span>proj:transform :</span></dt><dd>[20.0, 0.0, 499980.0, 0.0, -20.0, 8000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 25N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,-33],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32625&quot;]]</dd><dt><span>units :</span></dt><dd>digital_counts</dd><dt><span>valid_max :</span></dt><dd>65535</dd><dt><span>valid_min :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -32551,7 +31553,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b06</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(915, 915), meta=np.ndarray&gt;</div><input id='attrs-c82ffb5d-21d4-4c73-840b-1a28e285069a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c82ffb5d-21d4-4c73-840b-1a28e285069a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-02ca7581-3c9f-405e-b0d6-4ddbb4162e31' class='xr-var-data-in' type='checkbox'><label for='data-02ca7581-3c9f-405e-b0d6-4ddbb4162e31' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;add_offset&#x27;: -0.1, &#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;fill_value&#x27;: 0, &#x27;scale_factor&#x27;: 0.0001, &#x27;units&#x27;: &#x27;digital_counts&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u2</dd><dt><span>fill_value :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>BOA reflectance from MSI acquisition at spectral band b06 740.5 nm</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 5190240.0, 609780.0, 5300040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32632</dd><dt><span>proj:shape :</span></dt><dd>[5490, 5490]</dd><dt><span>proj:transform :</span></dt><dd>[20.0, 0.0, 499980.0, 0.0, -20.0, 5300040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 32N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,9],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32632&quot;]]</dd><dt><span>units :</span></dt><dd>digital_counts</dd><dt><span>valid_max :</span></dt><dd>65535</dd><dt><span>valid_min :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b06</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(915, 915), meta=np.ndarray&gt;</div><input id='attrs-a9c7cb86-ea23-44ef-9d04-da0b7f6403c8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a9c7cb86-ea23-44ef-9d04-da0b7f6403c8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cc6fcb59-7797-40de-928f-fb92de1798c9' class='xr-var-data-in' type='checkbox'><label for='data-cc6fcb59-7797-40de-928f-fb92de1798c9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;add_offset&#x27;: -0.1, &#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;dtype&#x27;: &#x27;&lt;u2&#x27;, &#x27;fill_value&#x27;: 0, &#x27;long_name&#x27;: &#x27;BOA reflectance from MSI acquisition at spectral band b06 739.1 nm&#x27;, &#x27;scale_factor&#x27;: 0.0001, &#x27;units&#x27;: &#x27;digital_counts&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u2</dd><dt><span>fill_value :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>BOA reflectance from MSI acquisition at spectral band b06 739.1 nm</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 7890240.0, 609780.0, 8000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32625</dd><dt><span>proj:shape :</span></dt><dd>[5490, 5490]</dd><dt><span>proj:transform :</span></dt><dd>[20.0, 0.0, 499980.0, 0.0, -20.0, 8000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 25N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,-33],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32625&quot;]]</dd><dt><span>units :</span></dt><dd>digital_counts</dd><dt><span>valid_max :</span></dt><dd>65535</dd><dt><span>valid_min :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -32616,7 +31618,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b07</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(915, 915), meta=np.ndarray&gt;</div><input id='attrs-79933b6f-5c1c-4456-b235-bb469bbff833' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-79933b6f-5c1c-4456-b235-bb469bbff833' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-77652ad7-da2c-4971-981e-975ed9aded0c' class='xr-var-data-in' type='checkbox'><label for='data-77652ad7-da2c-4971-981e-975ed9aded0c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;add_offset&#x27;: -0.1, &#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;fill_value&#x27;: 0, &#x27;scale_factor&#x27;: 0.0001, &#x27;units&#x27;: &#x27;digital_counts&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u2</dd><dt><span>fill_value :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>BOA reflectance from MSI acquisition at spectral band b07 782.8 nm</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 5190240.0, 609780.0, 5300040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32632</dd><dt><span>proj:shape :</span></dt><dd>[5490, 5490]</dd><dt><span>proj:transform :</span></dt><dd>[20.0, 0.0, 499980.0, 0.0, -20.0, 5300040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 32N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,9],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32632&quot;]]</dd><dt><span>units :</span></dt><dd>digital_counts</dd><dt><span>valid_max :</span></dt><dd>65535</dd><dt><span>valid_min :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b07</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(915, 915), meta=np.ndarray&gt;</div><input id='attrs-6c6ba7a5-af11-46fa-95c9-19b984f1ada8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6c6ba7a5-af11-46fa-95c9-19b984f1ada8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bdfe3642-75a2-452b-82f7-d531cf67318b' class='xr-var-data-in' type='checkbox'><label for='data-bdfe3642-75a2-452b-82f7-d531cf67318b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;add_offset&#x27;: -0.1, &#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;dtype&#x27;: &#x27;&lt;u2&#x27;, &#x27;fill_value&#x27;: 0, &#x27;long_name&#x27;: &#x27;BOA reflectance from MSI acquisition at spectral band b07 779.7 nm&#x27;, &#x27;scale_factor&#x27;: 0.0001, &#x27;units&#x27;: &#x27;digital_counts&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u2</dd><dt><span>fill_value :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>BOA reflectance from MSI acquisition at spectral band b07 779.7 nm</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 7890240.0, 609780.0, 8000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32625</dd><dt><span>proj:shape :</span></dt><dd>[5490, 5490]</dd><dt><span>proj:transform :</span></dt><dd>[20.0, 0.0, 499980.0, 0.0, -20.0, 8000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 25N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,-33],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32625&quot;]]</dd><dt><span>units :</span></dt><dd>digital_counts</dd><dt><span>valid_max :</span></dt><dd>65535</dd><dt><span>valid_min :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -32681,7 +31683,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b11</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(915, 915), meta=np.ndarray&gt;</div><input id='attrs-40d1f875-8540-4560-860e-6268fda9a0a2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-40d1f875-8540-4560-860e-6268fda9a0a2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6db11edb-1d7b-460b-a884-9aed6aca93eb' class='xr-var-data-in' type='checkbox'><label for='data-6db11edb-1d7b-460b-a884-9aed6aca93eb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;add_offset&#x27;: -0.1, &#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;fill_value&#x27;: 0, &#x27;scale_factor&#x27;: 0.0001, &#x27;units&#x27;: &#x27;digital_counts&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u2</dd><dt><span>fill_value :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>BOA reflectance from MSI acquisition at spectral band b11 1613.7 nm</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 5190240.0, 609780.0, 5300040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32632</dd><dt><span>proj:shape :</span></dt><dd>[5490, 5490]</dd><dt><span>proj:transform :</span></dt><dd>[20.0, 0.0, 499980.0, 0.0, -20.0, 5300040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 32N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,9],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32632&quot;]]</dd><dt><span>units :</span></dt><dd>digital_counts</dd><dt><span>valid_max :</span></dt><dd>65535</dd><dt><span>valid_min :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b11</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(915, 915), meta=np.ndarray&gt;</div><input id='attrs-ddf25ec9-3f8d-4cf1-8767-ee69214280e7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ddf25ec9-3f8d-4cf1-8767-ee69214280e7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-665c2d4f-1f1a-4295-a88d-446b441c3e62' class='xr-var-data-in' type='checkbox'><label for='data-665c2d4f-1f1a-4295-a88d-446b441c3e62' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;add_offset&#x27;: -0.1, &#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;dtype&#x27;: &#x27;&lt;u2&#x27;, &#x27;fill_value&#x27;: 0, &#x27;long_name&#x27;: &#x27;BOA reflectance from MSI acquisition at spectral band b11 1610.4 nm&#x27;, &#x27;scale_factor&#x27;: 0.0001, &#x27;units&#x27;: &#x27;digital_counts&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u2</dd><dt><span>fill_value :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>BOA reflectance from MSI acquisition at spectral band b11 1610.4 nm</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 7890240.0, 609780.0, 8000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32625</dd><dt><span>proj:shape :</span></dt><dd>[5490, 5490]</dd><dt><span>proj:transform :</span></dt><dd>[20.0, 0.0, 499980.0, 0.0, -20.0, 8000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 25N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,-33],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32625&quot;]]</dd><dt><span>units :</span></dt><dd>digital_counts</dd><dt><span>valid_max :</span></dt><dd>65535</dd><dt><span>valid_min :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -32746,7 +31748,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b12</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(915, 915), meta=np.ndarray&gt;</div><input id='attrs-eca5899f-dd12-4af0-b036-70915a6f2792' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-eca5899f-dd12-4af0-b036-70915a6f2792' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-17b0e987-8bad-4d43-bed4-78a52d34c626' class='xr-var-data-in' type='checkbox'><label for='data-17b0e987-8bad-4d43-bed4-78a52d34c626' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;add_offset&#x27;: -0.1, &#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;fill_value&#x27;: 0, &#x27;scale_factor&#x27;: 0.0001, &#x27;units&#x27;: &#x27;digital_counts&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u2</dd><dt><span>fill_value :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>BOA reflectance from MSI acquisition at spectral band b12 2202.4 nm</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 5190240.0, 609780.0, 5300040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32632</dd><dt><span>proj:shape :</span></dt><dd>[5490, 5490]</dd><dt><span>proj:transform :</span></dt><dd>[20.0, 0.0, 499980.0, 0.0, -20.0, 5300040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 32N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,9],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32632&quot;]]</dd><dt><span>units :</span></dt><dd>digital_counts</dd><dt><span>valid_max :</span></dt><dd>65535</dd><dt><span>valid_min :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b12</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(915, 915), meta=np.ndarray&gt;</div><input id='attrs-41633e98-3bff-4945-9235-4264870ae0b2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-41633e98-3bff-4945-9235-4264870ae0b2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8779b47a-8684-4531-9bc1-95516bfb7745' class='xr-var-data-in' type='checkbox'><label for='data-8779b47a-8684-4531-9bc1-95516bfb7745' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;add_offset&#x27;: -0.1, &#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;dtype&#x27;: &#x27;&lt;u2&#x27;, &#x27;fill_value&#x27;: 0, &#x27;long_name&#x27;: &#x27;BOA reflectance from MSI acquisition at spectral band b12 2185.7 nm&#x27;, &#x27;scale_factor&#x27;: 0.0001, &#x27;units&#x27;: &#x27;digital_counts&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u2</dd><dt><span>fill_value :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>BOA reflectance from MSI acquisition at spectral band b12 2185.7 nm</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 7890240.0, 609780.0, 8000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32625</dd><dt><span>proj:shape :</span></dt><dd>[5490, 5490]</dd><dt><span>proj:transform :</span></dt><dd>[20.0, 0.0, 499980.0, 0.0, -20.0, 8000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 25N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,-33],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32625&quot;]]</dd><dt><span>units :</span></dt><dd>digital_counts</dd><dt><span>valid_max :</span></dt><dd>65535</dd><dt><span>valid_min :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -32811,7 +31813,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b8a</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(915, 915), meta=np.ndarray&gt;</div><input id='attrs-5923b001-d9e7-4856-be24-d0bea0b705f3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5923b001-d9e7-4856-be24-d0bea0b705f3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-720533f7-9b4c-4e2b-bd94-d57cab0d7c16' class='xr-var-data-in' type='checkbox'><label for='data-720533f7-9b4c-4e2b-bd94-d57cab0d7c16' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;add_offset&#x27;: -0.1, &#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;fill_value&#x27;: 0, &#x27;scale_factor&#x27;: 0.0001, &#x27;units&#x27;: &#x27;digital_counts&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u2</dd><dt><span>fill_value :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>BOA reflectance from MSI acquisition at spectral band b8a 864.7 nm</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 5190240.0, 609780.0, 5300040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32632</dd><dt><span>proj:shape :</span></dt><dd>[5490, 5490]</dd><dt><span>proj:transform :</span></dt><dd>[20.0, 0.0, 499980.0, 0.0, -20.0, 5300040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 32N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,9],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32632&quot;]]</dd><dt><span>units :</span></dt><dd>digital_counts</dd><dt><span>valid_max :</span></dt><dd>65535</dd><dt><span>valid_min :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b8a</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(915, 915), meta=np.ndarray&gt;</div><input id='attrs-61933430-04d4-4533-887c-6fd99b4e1024' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-61933430-04d4-4533-887c-6fd99b4e1024' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ca201942-dd7e-486a-a68e-a94881bb4b50' class='xr-var-data-in' type='checkbox'><label for='data-ca201942-dd7e-486a-a68e-a94881bb4b50' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;add_offset&#x27;: -0.1, &#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;dtype&#x27;: &#x27;&lt;u2&#x27;, &#x27;fill_value&#x27;: 0, &#x27;long_name&#x27;: &#x27;BOA reflectance from MSI acquisition at spectral band b8a 864.0 nm&#x27;, &#x27;scale_factor&#x27;: 0.0001, &#x27;units&#x27;: &#x27;digital_counts&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u2</dd><dt><span>fill_value :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>BOA reflectance from MSI acquisition at spectral band b8a 864.0 nm</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 7890240.0, 609780.0, 8000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32625</dd><dt><span>proj:shape :</span></dt><dd>[5490, 5490]</dd><dt><span>proj:transform :</span></dt><dd>[20.0, 0.0, 499980.0, 0.0, -20.0, 8000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 25N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,-33],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32625&quot;]]</dd><dt><span>units :</span></dt><dd>digital_counts</dd><dt><span>valid_max :</span></dt><dd>65535</dd><dt><span>valid_min :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -32876,7 +31878,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-36453b97-3bcb-4b53-ba8f-4e2bcb45bbaf' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-36453b97-3bcb-4b53-ba8f-4e2bcb45bbaf' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div><div style='display: inline-grid; grid-template-columns: 0px 20px auto; width: 100%;'><div style='grid-column-start: 1;border-right: 0.2em solid;border-color: var(--xr-border-color);height: 1.2em;width: 0px;'></div><div style='grid-column-start: 2;grid-row-start: 1;height: 1em;width: 20px;border-bottom: 0.2em solid;border-color: var(--xr-border-color);'></div><div style='grid-column-start: 3;'><div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
+       "</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-d286e2dd-10b7-43a4-8db7-362fde2a308f' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-d286e2dd-10b7-43a4-8db7-362fde2a308f' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div><div style='display: inline-grid; grid-template-columns: 0px 20px auto; width: 100%;'><div style='grid-column-start: 1;border-right: 0.2em solid;border-color: var(--xr-border-color);height: 1.2em;width: 0px;'></div><div style='grid-column-start: 2;grid-row-start: 1;height: 1em;width: 20px;border-bottom: 0.2em solid;border-color: var(--xr-border-color);'></div><div style='grid-column-start: 3;'><div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
        "<defs>\n",
        "<symbol id=\"icon-database\" viewBox=\"0 0 32 32\">\n",
        "<path d=\"M16 0c-8.837 0-16 2.239-16 5v4c0 2.761 7.163 5 16 5s16-2.239 16-5v-4c0-2.761-7.163-5-16-5z\"></path>\n",
@@ -33250,7 +32252,7 @@
        "Dimensions:  (y: 1830, x: 1830)\n",
        "Coordinates:\n",
        "  * x        (x) int64 15kB 500010 500070 500130 500190 ... 609630 609690 609750\n",
-       "  * y        (y) int64 15kB 5300010 5299950 5299890 ... 5190390 5190330 5190270\n",
+       "  * y        (y) int64 15kB 8000010 7999950 7999890 ... 7890390 7890330 7890270\n",
        "Data variables:\n",
        "    b01      (y, x) float64 27MB dask.array&lt;chunksize=(305, 305), meta=np.ndarray&gt;\n",
        "    b02      (y, x) float64 27MB dask.array&lt;chunksize=(305, 305), meta=np.ndarray&gt;\n",
@@ -33262,7 +32264,8 @@
        "    b09      (y, x) float64 27MB dask.array&lt;chunksize=(305, 305), meta=np.ndarray&gt;\n",
        "    b11      (y, x) float64 27MB dask.array&lt;chunksize=(305, 305), meta=np.ndarray&gt;\n",
        "    b12      (y, x) float64 27MB dask.array&lt;chunksize=(305, 305), meta=np.ndarray&gt;\n",
-       "    b8a      (y, x) float64 27MB dask.array&lt;chunksize=(305, 305), meta=np.ndarray&gt;</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>r60m</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-d4d3c22d-8542-4fad-a3bb-ca4bed333457' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-d4d3c22d-8542-4fad-a3bb-ca4bed333457' class='xr-section-summary'  title='Expand/collapse section'>Groups: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><div style='display: inline-grid; grid-template-columns: 100%; grid-column: 1 / -1'></div></div></li><li class='xr-section-item'><input id='section-1c0e10b1-86d2-486b-9ccc-3048ecb7b738' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-1c0e10b1-86d2-486b-9ccc-3048ecb7b738' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>y</span>: 1830</li><li><span class='xr-has-index'>x</span>: 1830</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-50351b66-3bf3-40c7-87f8-17b76fefa804' class='xr-section-summary-in' type='checkbox'  checked><label for='section-50351b66-3bf3-40c7-87f8-17b76fefa804' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>500010 500070 ... 609690 609750</div><input id='attrs-90a06bf0-ca37-4ad6-a022-bc699fac149a' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-90a06bf0-ca37-4ad6-a022-bc699fac149a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6d38dfff-bc2f-4d0d-a431-5399899d4e5f' class='xr-var-data-in' type='checkbox'><label for='data-6d38dfff-bc2f-4d0d-a431-5399899d4e5f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([500010, 500070, 500130, ..., 609630, 609690, 609750])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>5300010 5299950 ... 5190330 5190270</div><input id='attrs-b5d60b21-f46a-48da-9d89-6b7ead692743' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-b5d60b21-f46a-48da-9d89-6b7ead692743' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-aefe51d8-7501-4516-b2fd-276fc92d76ef' class='xr-var-data-in' type='checkbox'><label for='data-aefe51d8-7501-4516-b2fd-276fc92d76ef' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([5300010, 5299950, 5299890, ..., 5190390, 5190330, 5190270])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-5c378c1b-92da-49d6-9068-314e0b772552' class='xr-section-summary-in' type='checkbox'  checked><label for='section-5c378c1b-92da-49d6-9068-314e0b772552' class='xr-section-summary' >Data variables: <span>(11)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>b01</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(305, 305), meta=np.ndarray&gt;</div><input id='attrs-84261a22-4b7d-4b7c-ba1f-c1f30a8bd994' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-84261a22-4b7d-4b7c-ba1f-c1f30a8bd994' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d803cabe-6c20-4048-931e-1efa4ab9bc06' class='xr-var-data-in' type='checkbox'><label for='data-d803cabe-6c20-4048-931e-1efa4ab9bc06' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;add_offset&#x27;: -0.1, &#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;fill_value&#x27;: 0, &#x27;scale_factor&#x27;: 0.0001, &#x27;units&#x27;: &#x27;digital_counts&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u2</dd><dt><span>fill_value :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>BOA reflectance from MSI acquisition at spectral band b01 442.7 nm</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 5190240.0, 609780.0, 5300040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32632</dd><dt><span>proj:shape :</span></dt><dd>[1830, 1830]</dd><dt><span>proj:transform :</span></dt><dd>[60.0, 0.0, 499980.0, 0.0, -60.0, 5300040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 32N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,9],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32632&quot;]]</dd><dt><span>units :</span></dt><dd>digital_counts</dd><dt><span>valid_max :</span></dt><dd>65535</dd><dt><span>valid_min :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    b8a      (y, x) float64 27MB dask.array&lt;chunksize=(305, 305), meta=np.ndarray&gt;</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>r60m</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-1779eada-e47e-4363-a180-948549e633c5' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-1779eada-e47e-4363-a180-948549e633c5' class='xr-section-summary'  title='Expand/collapse section'>Groups: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><div style='display: inline-grid; grid-template-columns: 100%; grid-column: 1 / -1'></div></div></li><li class='xr-section-item'><input id='section-91ffb8a8-5165-4e3a-927c-1776fd3783cf' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-91ffb8a8-5165-4e3a-927c-1776fd3783cf' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>y</span>: 1830</li><li><span class='xr-has-index'>x</span>: 1830</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-c2e7f2c6-70cd-4294-987d-db4f6efc2136' class='xr-section-summary-in' type='checkbox'  checked><label for='section-c2e7f2c6-70cd-4294-987d-db4f6efc2136' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>500010 500070 ... 609690 609750</div><input id='attrs-4b92797e-662b-4e6d-8a7a-bd34f4f26c7d' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-4b92797e-662b-4e6d-8a7a-bd34f4f26c7d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8dc215c1-34da-400e-9b9d-95a5e2fcc5ca' class='xr-var-data-in' type='checkbox'><label for='data-8dc215c1-34da-400e-9b9d-95a5e2fcc5ca' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([500010, 500070, 500130, ..., 609630, 609690, 609750], shape=(1830,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>8000010 7999950 ... 7890330 7890270</div><input id='attrs-0fa739e8-85c4-43f8-ae0e-109833c4b51a' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-0fa739e8-85c4-43f8-ae0e-109833c4b51a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a5d3454c-6559-41b5-8df1-dc1c3d4eb40b' class='xr-var-data-in' type='checkbox'><label for='data-a5d3454c-6559-41b5-8df1-dc1c3d4eb40b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([8000010, 7999950, 7999890, ..., 7890390, 7890330, 7890270],\n",
+       "      shape=(1830,))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-81523bee-3674-468b-93cf-1a3f4a2d7ba7' class='xr-section-summary-in' type='checkbox'  checked><label for='section-81523bee-3674-468b-93cf-1a3f4a2d7ba7' class='xr-section-summary' >Data variables: <span>(11)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>b01</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(305, 305), meta=np.ndarray&gt;</div><input id='attrs-08783878-3c2b-4afd-a228-3866dfd1bc65' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-08783878-3c2b-4afd-a228-3866dfd1bc65' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bcd69572-b6ed-4e2d-b259-0f92267cb2c3' class='xr-var-data-in' type='checkbox'><label for='data-bcd69572-b6ed-4e2d-b259-0f92267cb2c3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;add_offset&#x27;: -0.1, &#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;dtype&#x27;: &#x27;&lt;u2&#x27;, &#x27;fill_value&#x27;: 0, &#x27;long_name&#x27;: &#x27;BOA reflectance from MSI acquisition at spectral band b01 442.3 nm&#x27;, &#x27;scale_factor&#x27;: 0.0001, &#x27;units&#x27;: &#x27;digital_counts&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u2</dd><dt><span>fill_value :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>BOA reflectance from MSI acquisition at spectral band b01 442.3 nm</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 7890240.0, 609780.0, 8000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32625</dd><dt><span>proj:shape :</span></dt><dd>[1830, 1830]</dd><dt><span>proj:transform :</span></dt><dd>[60.0, 0.0, 499980.0, 0.0, -60.0, 8000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 25N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,-33],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32625&quot;]]</dd><dt><span>units :</span></dt><dd>digital_counts</dd><dt><span>valid_max :</span></dt><dd>65535</dd><dt><span>valid_min :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -33327,7 +32330,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b02</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(305, 305), meta=np.ndarray&gt;</div><input id='attrs-f4ac5500-38a4-470b-84d3-d67ec11f3f85' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f4ac5500-38a4-470b-84d3-d67ec11f3f85' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8d4e7650-368d-44a5-b634-4c1038e37ea1' class='xr-var-data-in' type='checkbox'><label for='data-8d4e7650-368d-44a5-b634-4c1038e37ea1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;add_offset&#x27;: -0.1, &#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;fill_value&#x27;: 0, &#x27;scale_factor&#x27;: 0.0001, &#x27;units&#x27;: &#x27;digital_counts&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u2</dd><dt><span>fill_value :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>BOA reflectance from MSI acquisition at spectral band b02 492.7 nm</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 5190240.0, 609780.0, 5300040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32632</dd><dt><span>proj:shape :</span></dt><dd>[1830, 1830]</dd><dt><span>proj:transform :</span></dt><dd>[60.0, 0.0, 499980.0, 0.0, -60.0, 5300040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 32N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,9],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32632&quot;]]</dd><dt><span>units :</span></dt><dd>digital_counts</dd><dt><span>valid_max :</span></dt><dd>65535</dd><dt><span>valid_min :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b02</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(305, 305), meta=np.ndarray&gt;</div><input id='attrs-b60b8aa3-9653-4207-82a6-aaa19ca4253d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b60b8aa3-9653-4207-82a6-aaa19ca4253d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2a5abbb3-dfad-4e65-bd56-355bdc34b4d9' class='xr-var-data-in' type='checkbox'><label for='data-2a5abbb3-dfad-4e65-bd56-355bdc34b4d9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;add_offset&#x27;: -0.1, &#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;dtype&#x27;: &#x27;&lt;u2&#x27;, &#x27;fill_value&#x27;: 0, &#x27;long_name&#x27;: &#x27;BOA reflectance from MSI acquisition at spectral band b02 492.3 nm&#x27;, &#x27;scale_factor&#x27;: 0.0001, &#x27;units&#x27;: &#x27;digital_counts&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u2</dd><dt><span>fill_value :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>BOA reflectance from MSI acquisition at spectral band b02 492.3 nm</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 7890240.0, 609780.0, 8000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32625</dd><dt><span>proj:shape :</span></dt><dd>[1830, 1830]</dd><dt><span>proj:transform :</span></dt><dd>[60.0, 0.0, 499980.0, 0.0, -60.0, 8000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 25N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,-33],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32625&quot;]]</dd><dt><span>units :</span></dt><dd>digital_counts</dd><dt><span>valid_max :</span></dt><dd>65535</dd><dt><span>valid_min :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -33392,7 +32395,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b03</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(305, 305), meta=np.ndarray&gt;</div><input id='attrs-ef767ea0-aa20-4fb5-9dd0-c0547b2bbe6b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ef767ea0-aa20-4fb5-9dd0-c0547b2bbe6b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c21efb6f-40ff-403d-9483-d714f9673f4d' class='xr-var-data-in' type='checkbox'><label for='data-c21efb6f-40ff-403d-9483-d714f9673f4d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;add_offset&#x27;: -0.1, &#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;fill_value&#x27;: 0, &#x27;scale_factor&#x27;: 0.0001, &#x27;units&#x27;: &#x27;digital_counts&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u2</dd><dt><span>fill_value :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>BOA reflectance from MSI acquisition at spectral band b03 559.8 nm</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 5190240.0, 609780.0, 5300040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32632</dd><dt><span>proj:shape :</span></dt><dd>[1830, 1830]</dd><dt><span>proj:transform :</span></dt><dd>[60.0, 0.0, 499980.0, 0.0, -60.0, 5300040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 32N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,9],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32632&quot;]]</dd><dt><span>units :</span></dt><dd>digital_counts</dd><dt><span>valid_max :</span></dt><dd>65535</dd><dt><span>valid_min :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b03</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(305, 305), meta=np.ndarray&gt;</div><input id='attrs-df4fa068-6405-4db4-95e1-37deedde0010' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-df4fa068-6405-4db4-95e1-37deedde0010' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0dfe838e-71ab-45c2-ace5-c96e77339791' class='xr-var-data-in' type='checkbox'><label for='data-0dfe838e-71ab-45c2-ace5-c96e77339791' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;add_offset&#x27;: -0.1, &#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;dtype&#x27;: &#x27;&lt;u2&#x27;, &#x27;fill_value&#x27;: 0, &#x27;long_name&#x27;: &#x27;BOA reflectance from MSI acquisition at spectral band b03 559.0 nm&#x27;, &#x27;scale_factor&#x27;: 0.0001, &#x27;units&#x27;: &#x27;digital_counts&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u2</dd><dt><span>fill_value :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>BOA reflectance from MSI acquisition at spectral band b03 559.0 nm</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 7890240.0, 609780.0, 8000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32625</dd><dt><span>proj:shape :</span></dt><dd>[1830, 1830]</dd><dt><span>proj:transform :</span></dt><dd>[60.0, 0.0, 499980.0, 0.0, -60.0, 8000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 25N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,-33],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32625&quot;]]</dd><dt><span>units :</span></dt><dd>digital_counts</dd><dt><span>valid_max :</span></dt><dd>65535</dd><dt><span>valid_min :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -33457,7 +32460,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b04</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(305, 305), meta=np.ndarray&gt;</div><input id='attrs-4a49c4aa-f4a7-4d95-a6a9-37de9269839d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4a49c4aa-f4a7-4d95-a6a9-37de9269839d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6c54a410-f568-4d6d-b73e-dfb5b8f44b8b' class='xr-var-data-in' type='checkbox'><label for='data-6c54a410-f568-4d6d-b73e-dfb5b8f44b8b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;add_offset&#x27;: -0.1, &#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;fill_value&#x27;: 0, &#x27;scale_factor&#x27;: 0.0001, &#x27;units&#x27;: &#x27;digital_counts&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u2</dd><dt><span>fill_value :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>BOA reflectance from MSI acquisition at spectral band b04 664.6 nm</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 5190240.0, 609780.0, 5300040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32632</dd><dt><span>proj:shape :</span></dt><dd>[1830, 1830]</dd><dt><span>proj:transform :</span></dt><dd>[60.0, 0.0, 499980.0, 0.0, -60.0, 5300040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 32N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,9],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32632&quot;]]</dd><dt><span>units :</span></dt><dd>digital_counts</dd><dt><span>valid_max :</span></dt><dd>65535</dd><dt><span>valid_min :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b04</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(305, 305), meta=np.ndarray&gt;</div><input id='attrs-e7596adc-2038-4f35-b532-07c478bf3904' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e7596adc-2038-4f35-b532-07c478bf3904' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ef1ad03e-511e-47fe-aca8-ea871a20a689' class='xr-var-data-in' type='checkbox'><label for='data-ef1ad03e-511e-47fe-aca8-ea871a20a689' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;add_offset&#x27;: -0.1, &#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;dtype&#x27;: &#x27;&lt;u2&#x27;, &#x27;fill_value&#x27;: 0, &#x27;long_name&#x27;: &#x27;BOA reflectance from MSI acquisition at spectral band b04 665.0 nm&#x27;, &#x27;scale_factor&#x27;: 0.0001, &#x27;units&#x27;: &#x27;digital_counts&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u2</dd><dt><span>fill_value :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>BOA reflectance from MSI acquisition at spectral band b04 665.0 nm</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 7890240.0, 609780.0, 8000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32625</dd><dt><span>proj:shape :</span></dt><dd>[1830, 1830]</dd><dt><span>proj:transform :</span></dt><dd>[60.0, 0.0, 499980.0, 0.0, -60.0, 8000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 25N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,-33],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32625&quot;]]</dd><dt><span>units :</span></dt><dd>digital_counts</dd><dt><span>valid_max :</span></dt><dd>65535</dd><dt><span>valid_min :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -33522,7 +32525,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b05</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(305, 305), meta=np.ndarray&gt;</div><input id='attrs-24a8dc61-76ce-414b-bf75-c87450c59ab6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-24a8dc61-76ce-414b-bf75-c87450c59ab6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9ac4d285-7537-4bba-9e6d-7d0fca9c8bfa' class='xr-var-data-in' type='checkbox'><label for='data-9ac4d285-7537-4bba-9e6d-7d0fca9c8bfa' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;add_offset&#x27;: -0.1, &#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;fill_value&#x27;: 0, &#x27;scale_factor&#x27;: 0.0001, &#x27;units&#x27;: &#x27;digital_counts&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u2</dd><dt><span>fill_value :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>BOA reflectance from MSI acquisition at spectral band b05 704.1 nm</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 5190240.0, 609780.0, 5300040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32632</dd><dt><span>proj:shape :</span></dt><dd>[1830, 1830]</dd><dt><span>proj:transform :</span></dt><dd>[60.0, 0.0, 499980.0, 0.0, -60.0, 5300040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 32N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,9],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32632&quot;]]</dd><dt><span>units :</span></dt><dd>digital_counts</dd><dt><span>valid_max :</span></dt><dd>65535</dd><dt><span>valid_min :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b05</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(305, 305), meta=np.ndarray&gt;</div><input id='attrs-6e0e1bda-fe1e-4a82-a86f-584f0ad0a5fe' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6e0e1bda-fe1e-4a82-a86f-584f0ad0a5fe' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3aef9cdf-b9dd-4d0b-941d-338ea45f8978' class='xr-var-data-in' type='checkbox'><label for='data-3aef9cdf-b9dd-4d0b-941d-338ea45f8978' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;add_offset&#x27;: -0.1, &#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;dtype&#x27;: &#x27;&lt;u2&#x27;, &#x27;fill_value&#x27;: 0, &#x27;long_name&#x27;: &#x27;BOA reflectance from MSI acquisition at spectral band b05 703.8 nm&#x27;, &#x27;scale_factor&#x27;: 0.0001, &#x27;units&#x27;: &#x27;digital_counts&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u2</dd><dt><span>fill_value :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>BOA reflectance from MSI acquisition at spectral band b05 703.8 nm</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 7890240.0, 609780.0, 8000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32625</dd><dt><span>proj:shape :</span></dt><dd>[1830, 1830]</dd><dt><span>proj:transform :</span></dt><dd>[60.0, 0.0, 499980.0, 0.0, -60.0, 8000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 25N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,-33],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32625&quot;]]</dd><dt><span>units :</span></dt><dd>digital_counts</dd><dt><span>valid_max :</span></dt><dd>65535</dd><dt><span>valid_min :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -33587,7 +32590,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b06</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(305, 305), meta=np.ndarray&gt;</div><input id='attrs-2c4d6ee9-b044-4a0e-bea7-fbdaa5a72727' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2c4d6ee9-b044-4a0e-bea7-fbdaa5a72727' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-be624056-75b1-4d85-98fe-bf24b38e236e' class='xr-var-data-in' type='checkbox'><label for='data-be624056-75b1-4d85-98fe-bf24b38e236e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;add_offset&#x27;: -0.1, &#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;fill_value&#x27;: 0, &#x27;scale_factor&#x27;: 0.0001, &#x27;units&#x27;: &#x27;digital_counts&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u2</dd><dt><span>fill_value :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>BOA reflectance from MSI acquisition at spectral band b06 740.5 nm</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 5190240.0, 609780.0, 5300040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32632</dd><dt><span>proj:shape :</span></dt><dd>[1830, 1830]</dd><dt><span>proj:transform :</span></dt><dd>[60.0, 0.0, 499980.0, 0.0, -60.0, 5300040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 32N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,9],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32632&quot;]]</dd><dt><span>units :</span></dt><dd>digital_counts</dd><dt><span>valid_max :</span></dt><dd>65535</dd><dt><span>valid_min :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b06</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(305, 305), meta=np.ndarray&gt;</div><input id='attrs-34b98386-2f93-46bd-9251-98b60ac850ba' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-34b98386-2f93-46bd-9251-98b60ac850ba' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6a040c0f-e446-40a9-954d-f4c929d9e74d' class='xr-var-data-in' type='checkbox'><label for='data-6a040c0f-e446-40a9-954d-f4c929d9e74d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;add_offset&#x27;: -0.1, &#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;dtype&#x27;: &#x27;&lt;u2&#x27;, &#x27;fill_value&#x27;: 0, &#x27;long_name&#x27;: &#x27;BOA reflectance from MSI acquisition at spectral band b06 739.1 nm&#x27;, &#x27;scale_factor&#x27;: 0.0001, &#x27;units&#x27;: &#x27;digital_counts&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u2</dd><dt><span>fill_value :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>BOA reflectance from MSI acquisition at spectral band b06 739.1 nm</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 7890240.0, 609780.0, 8000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32625</dd><dt><span>proj:shape :</span></dt><dd>[1830, 1830]</dd><dt><span>proj:transform :</span></dt><dd>[60.0, 0.0, 499980.0, 0.0, -60.0, 8000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 25N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,-33],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32625&quot;]]</dd><dt><span>units :</span></dt><dd>digital_counts</dd><dt><span>valid_max :</span></dt><dd>65535</dd><dt><span>valid_min :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -33652,7 +32655,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b07</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(305, 305), meta=np.ndarray&gt;</div><input id='attrs-3c0ddb84-d082-43b6-8fb7-a2cbd053519f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3c0ddb84-d082-43b6-8fb7-a2cbd053519f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-be743d07-d750-4a18-a371-2bbd6d2849da' class='xr-var-data-in' type='checkbox'><label for='data-be743d07-d750-4a18-a371-2bbd6d2849da' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;add_offset&#x27;: -0.1, &#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;fill_value&#x27;: 0, &#x27;scale_factor&#x27;: 0.0001, &#x27;units&#x27;: &#x27;digital_counts&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u2</dd><dt><span>fill_value :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>BOA reflectance from MSI acquisition at spectral band b07 782.8 nm</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 5190240.0, 609780.0, 5300040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32632</dd><dt><span>proj:shape :</span></dt><dd>[1830, 1830]</dd><dt><span>proj:transform :</span></dt><dd>[60.0, 0.0, 499980.0, 0.0, -60.0, 5300040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 32N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,9],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32632&quot;]]</dd><dt><span>units :</span></dt><dd>digital_counts</dd><dt><span>valid_max :</span></dt><dd>65535</dd><dt><span>valid_min :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b07</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(305, 305), meta=np.ndarray&gt;</div><input id='attrs-0a1716a7-8952-4456-8a28-2b9f4d883cd0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0a1716a7-8952-4456-8a28-2b9f4d883cd0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ca641385-215f-424e-b837-32e183e6963e' class='xr-var-data-in' type='checkbox'><label for='data-ca641385-215f-424e-b837-32e183e6963e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;add_offset&#x27;: -0.1, &#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;dtype&#x27;: &#x27;&lt;u2&#x27;, &#x27;fill_value&#x27;: 0, &#x27;long_name&#x27;: &#x27;BOA reflectance from MSI acquisition at spectral band b07 779.7 nm&#x27;, &#x27;scale_factor&#x27;: 0.0001, &#x27;units&#x27;: &#x27;digital_counts&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u2</dd><dt><span>fill_value :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>BOA reflectance from MSI acquisition at spectral band b07 779.7 nm</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 7890240.0, 609780.0, 8000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32625</dd><dt><span>proj:shape :</span></dt><dd>[1830, 1830]</dd><dt><span>proj:transform :</span></dt><dd>[60.0, 0.0, 499980.0, 0.0, -60.0, 8000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 25N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,-33],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32625&quot;]]</dd><dt><span>units :</span></dt><dd>digital_counts</dd><dt><span>valid_max :</span></dt><dd>65535</dd><dt><span>valid_min :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -33717,7 +32720,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b09</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(305, 305), meta=np.ndarray&gt;</div><input id='attrs-afc0e9d5-d26c-4d38-886d-c632a5bfe84a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-afc0e9d5-d26c-4d38-886d-c632a5bfe84a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0c57653a-30c8-4aa3-9971-49a7971d41fd' class='xr-var-data-in' type='checkbox'><label for='data-0c57653a-30c8-4aa3-9971-49a7971d41fd' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;add_offset&#x27;: -0.1, &#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;fill_value&#x27;: 0, &#x27;scale_factor&#x27;: 0.0001, &#x27;units&#x27;: &#x27;digital_counts&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u2</dd><dt><span>fill_value :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>BOA reflectance from MSI acquisition at spectral band b09 945.1 nm</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 5190240.0, 609780.0, 5300040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32632</dd><dt><span>proj:shape :</span></dt><dd>[1830, 1830]</dd><dt><span>proj:transform :</span></dt><dd>[60.0, 0.0, 499980.0, 0.0, -60.0, 5300040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 32N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,9],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32632&quot;]]</dd><dt><span>units :</span></dt><dd>digital_counts</dd><dt><span>valid_max :</span></dt><dd>65535</dd><dt><span>valid_min :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b09</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(305, 305), meta=np.ndarray&gt;</div><input id='attrs-bb455b86-fd22-4189-8929-76010b6ee166' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bb455b86-fd22-4189-8929-76010b6ee166' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3731682d-797b-48a0-af2e-5f062ae2baed' class='xr-var-data-in' type='checkbox'><label for='data-3731682d-797b-48a0-af2e-5f062ae2baed' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;add_offset&#x27;: -0.1, &#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;dtype&#x27;: &#x27;&lt;u2&#x27;, &#x27;fill_value&#x27;: 0, &#x27;long_name&#x27;: &#x27;BOA reflectance from MSI acquisition at spectral band b09 943.2 nm&#x27;, &#x27;scale_factor&#x27;: 0.0001, &#x27;units&#x27;: &#x27;digital_counts&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u2</dd><dt><span>fill_value :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>BOA reflectance from MSI acquisition at spectral band b09 943.2 nm</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 7890240.0, 609780.0, 8000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32625</dd><dt><span>proj:shape :</span></dt><dd>[1830, 1830]</dd><dt><span>proj:transform :</span></dt><dd>[60.0, 0.0, 499980.0, 0.0, -60.0, 8000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 25N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,-33],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32625&quot;]]</dd><dt><span>units :</span></dt><dd>digital_counts</dd><dt><span>valid_max :</span></dt><dd>65535</dd><dt><span>valid_min :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -33782,7 +32785,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b11</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(305, 305), meta=np.ndarray&gt;</div><input id='attrs-1ebe6ed6-8337-46f8-9645-37160d2555d5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1ebe6ed6-8337-46f8-9645-37160d2555d5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9b466a08-11f1-4ac4-b5d0-f19dfb970728' class='xr-var-data-in' type='checkbox'><label for='data-9b466a08-11f1-4ac4-b5d0-f19dfb970728' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;add_offset&#x27;: -0.1, &#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;fill_value&#x27;: 0, &#x27;scale_factor&#x27;: 0.0001, &#x27;units&#x27;: &#x27;digital_counts&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u2</dd><dt><span>fill_value :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>BOA reflectance from MSI acquisition at spectral band b11 1613.7 nm</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 5190240.0, 609780.0, 5300040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32632</dd><dt><span>proj:shape :</span></dt><dd>[1830, 1830]</dd><dt><span>proj:transform :</span></dt><dd>[60.0, 0.0, 499980.0, 0.0, -60.0, 5300040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 32N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,9],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32632&quot;]]</dd><dt><span>units :</span></dt><dd>digital_counts</dd><dt><span>valid_max :</span></dt><dd>65535</dd><dt><span>valid_min :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b11</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(305, 305), meta=np.ndarray&gt;</div><input id='attrs-cc557881-a9a0-4aac-8b76-f0d0ceab9a2f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cc557881-a9a0-4aac-8b76-f0d0ceab9a2f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-63e8cb3a-4a82-48a8-b94c-58bcf6954272' class='xr-var-data-in' type='checkbox'><label for='data-63e8cb3a-4a82-48a8-b94c-58bcf6954272' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;add_offset&#x27;: -0.1, &#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;dtype&#x27;: &#x27;&lt;u2&#x27;, &#x27;fill_value&#x27;: 0, &#x27;long_name&#x27;: &#x27;BOA reflectance from MSI acquisition at spectral band b11 1610.4 nm&#x27;, &#x27;scale_factor&#x27;: 0.0001, &#x27;units&#x27;: &#x27;digital_counts&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u2</dd><dt><span>fill_value :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>BOA reflectance from MSI acquisition at spectral band b11 1610.4 nm</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 7890240.0, 609780.0, 8000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32625</dd><dt><span>proj:shape :</span></dt><dd>[1830, 1830]</dd><dt><span>proj:transform :</span></dt><dd>[60.0, 0.0, 499980.0, 0.0, -60.0, 8000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 25N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,-33],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32625&quot;]]</dd><dt><span>units :</span></dt><dd>digital_counts</dd><dt><span>valid_max :</span></dt><dd>65535</dd><dt><span>valid_min :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -33847,7 +32850,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b12</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(305, 305), meta=np.ndarray&gt;</div><input id='attrs-00e62c7e-351b-4195-b615-453fb4d1f259' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-00e62c7e-351b-4195-b615-453fb4d1f259' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-50a81764-19f7-4173-a9c7-b827231eb04d' class='xr-var-data-in' type='checkbox'><label for='data-50a81764-19f7-4173-a9c7-b827231eb04d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;add_offset&#x27;: -0.1, &#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;fill_value&#x27;: 0, &#x27;scale_factor&#x27;: 0.0001, &#x27;units&#x27;: &#x27;digital_counts&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u2</dd><dt><span>fill_value :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>BOA reflectance from MSI acquisition at spectral band b12 2202.4 nm</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 5190240.0, 609780.0, 5300040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32632</dd><dt><span>proj:shape :</span></dt><dd>[1830, 1830]</dd><dt><span>proj:transform :</span></dt><dd>[60.0, 0.0, 499980.0, 0.0, -60.0, 5300040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 32N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,9],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32632&quot;]]</dd><dt><span>units :</span></dt><dd>digital_counts</dd><dt><span>valid_max :</span></dt><dd>65535</dd><dt><span>valid_min :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b12</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(305, 305), meta=np.ndarray&gt;</div><input id='attrs-580a2c36-a588-46f4-98a9-88aa061ab86e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-580a2c36-a588-46f4-98a9-88aa061ab86e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b908c061-3377-473e-aa28-17dbf1e52246' class='xr-var-data-in' type='checkbox'><label for='data-b908c061-3377-473e-aa28-17dbf1e52246' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;add_offset&#x27;: -0.1, &#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;dtype&#x27;: &#x27;&lt;u2&#x27;, &#x27;fill_value&#x27;: 0, &#x27;long_name&#x27;: &#x27;BOA reflectance from MSI acquisition at spectral band b12 2185.7 nm&#x27;, &#x27;scale_factor&#x27;: 0.0001, &#x27;units&#x27;: &#x27;digital_counts&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u2</dd><dt><span>fill_value :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>BOA reflectance from MSI acquisition at spectral band b12 2185.7 nm</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 7890240.0, 609780.0, 8000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32625</dd><dt><span>proj:shape :</span></dt><dd>[1830, 1830]</dd><dt><span>proj:transform :</span></dt><dd>[60.0, 0.0, 499980.0, 0.0, -60.0, 8000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 25N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,-33],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32625&quot;]]</dd><dt><span>units :</span></dt><dd>digital_counts</dd><dt><span>valid_max :</span></dt><dd>65535</dd><dt><span>valid_min :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -33912,7 +32915,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b8a</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(305, 305), meta=np.ndarray&gt;</div><input id='attrs-2bd0574b-a8bf-4385-854b-0426be9701b4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2bd0574b-a8bf-4385-854b-0426be9701b4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a40cf5b5-1ced-42db-b3cc-fa3b5718291d' class='xr-var-data-in' type='checkbox'><label for='data-a40cf5b5-1ced-42db-b3cc-fa3b5718291d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;add_offset&#x27;: -0.1, &#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;fill_value&#x27;: 0, &#x27;scale_factor&#x27;: 0.0001, &#x27;units&#x27;: &#x27;digital_counts&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u2</dd><dt><span>fill_value :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>BOA reflectance from MSI acquisition at spectral band b8a 864.7 nm</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 5190240.0, 609780.0, 5300040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32632</dd><dt><span>proj:shape :</span></dt><dd>[1830, 1830]</dd><dt><span>proj:transform :</span></dt><dd>[60.0, 0.0, 499980.0, 0.0, -60.0, 5300040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 32N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,9],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32632&quot;]]</dd><dt><span>units :</span></dt><dd>digital_counts</dd><dt><span>valid_max :</span></dt><dd>65535</dd><dt><span>valid_min :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b8a</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(305, 305), meta=np.ndarray&gt;</div><input id='attrs-1da7c30d-dc6b-4204-8bc3-37b750216cf1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1da7c30d-dc6b-4204-8bc3-37b750216cf1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-721dbe3f-cb68-4a73-9347-75ee6ec85ac8' class='xr-var-data-in' type='checkbox'><label for='data-721dbe3f-cb68-4a73-9347-75ee6ec85ac8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;add_offset&#x27;: -0.1, &#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;dtype&#x27;: &#x27;&lt;u2&#x27;, &#x27;fill_value&#x27;: 0, &#x27;long_name&#x27;: &#x27;BOA reflectance from MSI acquisition at spectral band b8a 864.0 nm&#x27;, &#x27;scale_factor&#x27;: 0.0001, &#x27;units&#x27;: &#x27;digital_counts&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u2</dd><dt><span>fill_value :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>BOA reflectance from MSI acquisition at spectral band b8a 864.0 nm</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 7890240.0, 609780.0, 8000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32625</dd><dt><span>proj:shape :</span></dt><dd>[1830, 1830]</dd><dt><span>proj:transform :</span></dt><dd>[60.0, 0.0, 499980.0, 0.0, -60.0, 8000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 25N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,-33],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32625&quot;]]</dd><dt><span>units :</span></dt><dd>digital_counts</dd><dt><span>valid_max :</span></dt><dd>65535</dd><dt><span>valid_min :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -33977,7 +32980,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-dc2128e4-56d8-4794-9f32-535cedc474ac' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-dc2128e4-56d8-4794-9f32-535cedc474ac' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div></div></div></li><li class='xr-section-item'><input id='section-6d0b620d-0bda-4082-820b-6daee1834f06' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-6d0b620d-0bda-4082-820b-6daee1834f06' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-1b049896-0fc0-4e64-b64e-1638661685fd' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-1b049896-0fc0-4e64-b64e-1638661685fd' class='xr-section-summary'  title='Expand/collapse section'>Coordinates: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-bf247f77-5b20-4931-8380-37dfacdd3b5a' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-bf247f77-5b20-4931-8380-37dfacdd3b5a' class='xr-section-summary'  title='Expand/collapse section'>Data variables: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-c22b3e38-e999-42a9-9e28-aaf4c9148d2e' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-c22b3e38-e999-42a9-9e28-aaf4c9148d2e' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div></div></div></li><li class='xr-section-item'><input id='section-390e0ade-5fa4-4d54-9a83-c5cef12804e1' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-390e0ade-5fa4-4d54-9a83-c5cef12804e1' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-b0da6e2c-c598-4e87-afbd-f754c259a927' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-b0da6e2c-c598-4e87-afbd-f754c259a927' class='xr-section-summary'  title='Expand/collapse section'>Coordinates: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-8e968c1d-8b6f-457c-adde-a4ecad51b208' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-8e968c1d-8b6f-457c-adde-a4ecad51b208' class='xr-section-summary'  title='Expand/collapse section'>Data variables: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-aa4f4411-4675-42e5-9858-a0bfe26ba84d' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-aa4f4411-4675-42e5-9858-a0bfe26ba84d' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div><div style='display: inline-grid; grid-template-columns: 0px 20px auto; width: 100%;'><div style='grid-column-start: 1;border-right: 0.2em solid;border-color: var(--xr-border-color);height: 1.2em;width: 0px;'></div><div style='grid-column-start: 2;grid-row-start: 1;height: 1em;width: 20px;border-bottom: 0.2em solid;border-color: var(--xr-border-color);'></div><div style='grid-column-start: 3;'><div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
+       "</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-bb17f0ad-bdd5-40c0-b578-e691dfa3ef50' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-bb17f0ad-bdd5-40c0-b578-e691dfa3ef50' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div></div></div></li><li class='xr-section-item'><input id='section-5bac4e3b-aecd-49d4-b5f6-dbd5d9e94bc4' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-5bac4e3b-aecd-49d4-b5f6-dbd5d9e94bc4' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-04103cee-c862-41fb-84a5-fb6848629b1d' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-04103cee-c862-41fb-84a5-fb6848629b1d' class='xr-section-summary'  title='Expand/collapse section'>Coordinates: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-47d02245-39bb-498d-9c55-a80f977a300f' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-47d02245-39bb-498d-9c55-a80f977a300f' class='xr-section-summary'  title='Expand/collapse section'>Data variables: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-71aacaa4-1301-4ddc-892b-70b2e0d87ae1' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-71aacaa4-1301-4ddc-892b-70b2e0d87ae1' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div></div></div></li><li class='xr-section-item'><input id='section-a1b15274-45eb-4e71-b4fb-42033aac2f78' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-a1b15274-45eb-4e71-b4fb-42033aac2f78' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-a038aaed-b8a9-4714-9de4-9f83602e4c20' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-a038aaed-b8a9-4714-9de4-9f83602e4c20' class='xr-section-summary'  title='Expand/collapse section'>Coordinates: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-64868cc8-170e-45d2-a43f-fedba8fd2871' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-64868cc8-170e-45d2-a43f-fedba8fd2871' class='xr-section-summary'  title='Expand/collapse section'>Data variables: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-49b00c31-1f0b-49d1-87f2-f68cefb56b26' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-49b00c31-1f0b-49d1-87f2-f68cefb56b26' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div><div style='display: inline-grid; grid-template-columns: 0px 20px auto; width: 100%;'><div style='grid-column-start: 1;border-right: 0.2em solid;border-color: var(--xr-border-color);height: 1.2em;width: 0px;'></div><div style='grid-column-start: 2;grid-row-start: 1;height: 1em;width: 20px;border-bottom: 0.2em solid;border-color: var(--xr-border-color);'></div><div style='grid-column-start: 3;'><div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
        "<defs>\n",
        "<symbol id=\"icon-database\" viewBox=\"0 0 32 32\">\n",
        "<path d=\"M16 0c-8.837 0-16 2.239-16 5v4c0 2.761 7.163 5 16 5s16-2.239 16-5v-4c0-2.761-7.163-5-16-5z\"></path>\n",
@@ -34350,7 +33353,7 @@
        "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DatasetView&gt; Size: 0B\n",
        "Dimensions:  ()\n",
        "Data variables:\n",
-       "    *empty*</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>quality</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-bf3a184a-d7a0-4418-aa3e-9bff30f5edc5' class='xr-section-summary-in' type='checkbox'  ><label for='section-bf3a184a-d7a0-4418-aa3e-9bff30f5edc5' class='xr-section-summary' >Groups: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><div style='display: inline-grid; grid-template-columns: 100%; grid-column: 1 / -1'><div style='display: inline-grid; grid-template-columns: 0px 20px auto; width: 100%;'><div style='grid-column-start: 1;border-right: 0.2em solid;border-color: var(--xr-border-color);height: 100%;width: 0px;'></div><div style='grid-column-start: 2;grid-row-start: 1;height: 1em;width: 20px;border-bottom: 0.2em solid;border-color: var(--xr-border-color);'></div><div style='grid-column-start: 3;'><div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
+       "    *empty*</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>quality</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-d6c56e3e-c623-4d2d-9848-2100f46ae262' class='xr-section-summary-in' type='checkbox'  ><label for='section-d6c56e3e-c623-4d2d-9848-2100f46ae262' class='xr-section-summary' >Groups: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><div style='display: inline-grid; grid-template-columns: 100%; grid-column: 1 / -1'><div style='display: inline-grid; grid-template-columns: 0px 20px auto; width: 100%;'><div style='grid-column-start: 1;border-right: 0.2em solid;border-color: var(--xr-border-color);height: 100%;width: 0px;'></div><div style='grid-column-start: 2;grid-row-start: 1;height: 1em;width: 20px;border-bottom: 0.2em solid;border-color: var(--xr-border-color);'></div><div style='grid-column-start: 3;'><div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
        "<defs>\n",
        "<symbol id=\"icon-database\" viewBox=\"0 0 32 32\">\n",
        "<path d=\"M16 0c-8.837 0-16 2.239-16 5v4c0 2.761 7.163 5 16 5s16-2.239 16-5v-4c0-2.761-7.163-5-16-5z\"></path>\n",
@@ -34723,7 +33726,7 @@
        "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DatasetView&gt; Size: 0B\n",
        "Dimensions:  ()\n",
        "Data variables:\n",
-       "    *empty*</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>atmosphere</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-4103c486-4752-48bc-87fc-1aa0caa79207' class='xr-section-summary-in' type='checkbox'  ><label for='section-4103c486-4752-48bc-87fc-1aa0caa79207' class='xr-section-summary' >Groups: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><div style='display: inline-grid; grid-template-columns: 100%; grid-column: 1 / -1'><div style='display: inline-grid; grid-template-columns: 0px 20px auto; width: 100%;'><div style='grid-column-start: 1;border-right: 0.2em solid;border-color: var(--xr-border-color);height: 100%;width: 0px;'></div><div style='grid-column-start: 2;grid-row-start: 1;height: 1em;width: 20px;border-bottom: 0.2em solid;border-color: var(--xr-border-color);'></div><div style='grid-column-start: 3;'><div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
+       "    *empty*</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>atmosphere</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-dde05add-f0ec-42fe-92ff-77c194e3e5be' class='xr-section-summary-in' type='checkbox'  ><label for='section-dde05add-f0ec-42fe-92ff-77c194e3e5be' class='xr-section-summary' >Groups: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><div style='display: inline-grid; grid-template-columns: 100%; grid-column: 1 / -1'><div style='display: inline-grid; grid-template-columns: 0px 20px auto; width: 100%;'><div style='grid-column-start: 1;border-right: 0.2em solid;border-color: var(--xr-border-color);height: 100%;width: 0px;'></div><div style='grid-column-start: 2;grid-row-start: 1;height: 1em;width: 20px;border-bottom: 0.2em solid;border-color: var(--xr-border-color);'></div><div style='grid-column-start: 3;'><div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
        "<defs>\n",
        "<symbol id=\"icon-database\" viewBox=\"0 0 32 32\">\n",
        "<path d=\"M16 0c-8.837 0-16 2.239-16 5v4c0 2.761 7.163 5 16 5s16-2.239 16-5v-4c0-2.761-7.163-5-16-5z\"></path>\n",
@@ -35097,10 +34100,11 @@
        "Dimensions:  (y: 10980, x: 10980)\n",
        "Coordinates:\n",
        "  * x        (x) int64 88kB 499985 499995 500005 500015 ... 609755 609765 609775\n",
-       "  * y        (y) int64 88kB 5300035 5300025 5300015 ... 5190265 5190255 5190245\n",
+       "  * y        (y) int64 88kB 8000035 8000025 8000015 ... 7890265 7890255 7890245\n",
        "Data variables:\n",
        "    aot      (y, x) uint16 241MB dask.array&lt;chunksize=(1830, 1830), meta=np.ndarray&gt;\n",
-       "    wvp      (y, x) uint16 241MB dask.array&lt;chunksize=(1830, 1830), meta=np.ndarray&gt;</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>r10m</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-bbc3cb0c-1d21-402a-aa22-e3031570a3a2' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-bbc3cb0c-1d21-402a-aa22-e3031570a3a2' class='xr-section-summary'  title='Expand/collapse section'>Groups: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><div style='display: inline-grid; grid-template-columns: 100%; grid-column: 1 / -1'></div></div></li><li class='xr-section-item'><input id='section-de7368c9-26a1-4bb5-aeac-fb3dc3731f41' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-de7368c9-26a1-4bb5-aeac-fb3dc3731f41' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>y</span>: 10980</li><li><span class='xr-has-index'>x</span>: 10980</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-8beed8ee-0435-4030-b8c7-c3f21c751c60' class='xr-section-summary-in' type='checkbox'  checked><label for='section-8beed8ee-0435-4030-b8c7-c3f21c751c60' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>499985 499995 ... 609765 609775</div><input id='attrs-3b7a0eea-18a9-4814-aae1-b9623acaf899' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-3b7a0eea-18a9-4814-aae1-b9623acaf899' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0c108a65-0659-403a-8994-8fe0ae1137ae' class='xr-var-data-in' type='checkbox'><label for='data-0c108a65-0659-403a-8994-8fe0ae1137ae' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([499985, 499995, 500005, ..., 609755, 609765, 609775])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>5300035 5300025 ... 5190255 5190245</div><input id='attrs-12eb2dad-c0d8-4dd9-8906-17a683c72b59' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-12eb2dad-c0d8-4dd9-8906-17a683c72b59' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-72a6fbe5-8d85-42b9-84f0-0063a4598365' class='xr-var-data-in' type='checkbox'><label for='data-72a6fbe5-8d85-42b9-84f0-0063a4598365' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([5300035, 5300025, 5300015, ..., 5190265, 5190255, 5190245])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-d3efb1a2-ae10-44e6-b5ea-7f1732abf6db' class='xr-section-summary-in' type='checkbox'  checked><label for='section-d3efb1a2-ae10-44e6-b5ea-7f1732abf6db' class='xr-section-summary' >Data variables: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>aot</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>uint16</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1830, 1830), meta=np.ndarray&gt;</div><input id='attrs-574add4c-78cc-4c97-9517-8c42aa36a894' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-574add4c-78cc-4c97-9517-8c42aa36a894' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8353df42-77be-4c25-9ffd-df0e0eb6e2df' class='xr-var-data-in' type='checkbox'><label for='data-8353df42-77be-4c25-9ffd-df0e0eb6e2df' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;]}</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 5190240.0, 609780.0, 5300040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32632</dd><dt><span>proj:shape :</span></dt><dd>[10980, 10980]</dd><dt><span>proj:transform :</span></dt><dd>[10.0, 0.0, 499980.0, 0.0, -10.0, 5300040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 32N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,9],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32632&quot;]]</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    wvp      (y, x) uint16 241MB dask.array&lt;chunksize=(1830, 1830), meta=np.ndarray&gt;</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>r10m</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-d31c1e40-528d-476b-b418-d3f7e614af09' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-d31c1e40-528d-476b-b418-d3f7e614af09' class='xr-section-summary'  title='Expand/collapse section'>Groups: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><div style='display: inline-grid; grid-template-columns: 100%; grid-column: 1 / -1'></div></div></li><li class='xr-section-item'><input id='section-5b9e716a-9437-45a2-bb1d-3e3709370233' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-5b9e716a-9437-45a2-bb1d-3e3709370233' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>y</span>: 10980</li><li><span class='xr-has-index'>x</span>: 10980</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-06970426-66f8-436c-bfdc-b7fa052381af' class='xr-section-summary-in' type='checkbox'  checked><label for='section-06970426-66f8-436c-bfdc-b7fa052381af' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>499985 499995 ... 609765 609775</div><input id='attrs-991f51bd-2542-4184-8bb4-da21c7862023' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-991f51bd-2542-4184-8bb4-da21c7862023' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-57e69e05-5726-44d0-857f-3214474e79e3' class='xr-var-data-in' type='checkbox'><label for='data-57e69e05-5726-44d0-857f-3214474e79e3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([499985, 499995, 500005, ..., 609755, 609765, 609775], shape=(10980,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>8000035 8000025 ... 7890255 7890245</div><input id='attrs-5c17c26b-cc27-4ad0-b9bc-8734586257e6' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-5c17c26b-cc27-4ad0-b9bc-8734586257e6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0fd8fe4f-3ae2-4053-9bf6-85db0cb37a79' class='xr-var-data-in' type='checkbox'><label for='data-0fd8fe4f-3ae2-4053-9bf6-85db0cb37a79' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([8000035, 8000025, 8000015, ..., 7890265, 7890255, 7890245],\n",
+       "      shape=(10980,))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-71e71ba8-42f8-4a44-a8f5-2d8bf6be5dbd' class='xr-section-summary-in' type='checkbox'  checked><label for='section-71e71ba8-42f8-4a44-a8f5-2d8bf6be5dbd' class='xr-section-summary' >Data variables: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>aot</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>uint16</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1830, 1830), meta=np.ndarray&gt;</div><input id='attrs-72c5e31b-fae8-47c5-96ad-9556b82daa4d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-72c5e31b-fae8-47c5-96ad-9556b82daa4d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e3c268b0-42cc-46ac-9bb4-3f3d6bf93a8a' class='xr-var-data-in' type='checkbox'><label for='data-e3c268b0-42cc-46ac-9bb4-3f3d6bf93a8a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;]}</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 7890240.0, 609780.0, 8000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32625</dd><dt><span>proj:shape :</span></dt><dd>[10980, 10980]</dd><dt><span>proj:transform :</span></dt><dd>[10.0, 0.0, 499980.0, 0.0, -10.0, 8000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 25N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,-33],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32625&quot;]]</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -35165,7 +34169,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>wvp</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>uint16</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1830, 1830), meta=np.ndarray&gt;</div><input id='attrs-81fb8bfd-14e0-4a65-81b6-413e73b02d65' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-81fb8bfd-14e0-4a65-81b6-413e73b02d65' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c8f9de5f-db70-4d22-937a-e555c5d66205' class='xr-var-data-in' type='checkbox'><label for='data-c8f9de5f-db70-4d22-937a-e555c5d66205' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;]}</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 5190240.0, 609780.0, 5300040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32632</dd><dt><span>proj:shape :</span></dt><dd>[10980, 10980]</dd><dt><span>proj:transform :</span></dt><dd>[10.0, 0.0, 499980.0, 0.0, -10.0, 5300040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 32N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,9],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32632&quot;]]</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>wvp</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>uint16</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1830, 1830), meta=np.ndarray&gt;</div><input id='attrs-7b7eb512-91b9-4f5f-afa2-4258bb9deaf7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7b7eb512-91b9-4f5f-afa2-4258bb9deaf7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7b8f308d-cfab-41e2-82f2-85994ee0d7c9' class='xr-var-data-in' type='checkbox'><label for='data-7b8f308d-cfab-41e2-82f2-85994ee0d7c9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;]}</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 7890240.0, 609780.0, 8000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32625</dd><dt><span>proj:shape :</span></dt><dd>[10980, 10980]</dd><dt><span>proj:transform :</span></dt><dd>[10.0, 0.0, 499980.0, 0.0, -10.0, 8000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 25N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,-33],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32625&quot;]]</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -35230,7 +34234,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-335bed87-aa7a-4c7e-bb71-0fcd32ab8401' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-335bed87-aa7a-4c7e-bb71-0fcd32ab8401' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div><div style='display: inline-grid; grid-template-columns: 0px 20px auto; width: 100%;'><div style='grid-column-start: 1;border-right: 0.2em solid;border-color: var(--xr-border-color);height: 100%;width: 0px;'></div><div style='grid-column-start: 2;grid-row-start: 1;height: 1em;width: 20px;border-bottom: 0.2em solid;border-color: var(--xr-border-color);'></div><div style='grid-column-start: 3;'><div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
+       "</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-6e405930-5b62-4bfd-b244-0260769198ad' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-6e405930-5b62-4bfd-b244-0260769198ad' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div><div style='display: inline-grid; grid-template-columns: 0px 20px auto; width: 100%;'><div style='grid-column-start: 1;border-right: 0.2em solid;border-color: var(--xr-border-color);height: 100%;width: 0px;'></div><div style='grid-column-start: 2;grid-row-start: 1;height: 1em;width: 20px;border-bottom: 0.2em solid;border-color: var(--xr-border-color);'></div><div style='grid-column-start: 3;'><div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
        "<defs>\n",
        "<symbol id=\"icon-database\" viewBox=\"0 0 32 32\">\n",
        "<path d=\"M16 0c-8.837 0-16 2.239-16 5v4c0 2.761 7.163 5 16 5s16-2.239 16-5v-4c0-2.761-7.163-5-16-5z\"></path>\n",
@@ -35604,10 +34608,11 @@
        "Dimensions:  (y: 5490, x: 5490)\n",
        "Coordinates:\n",
        "  * x        (x) int64 44kB 499990 500010 500030 500050 ... 609730 609750 609770\n",
-       "  * y        (y) int64 44kB 5300030 5300010 5299990 ... 5190290 5190270 5190250\n",
+       "  * y        (y) int64 44kB 8000030 8000010 7999990 ... 7890290 7890270 7890250\n",
        "Data variables:\n",
        "    aot      (y, x) uint16 60MB dask.array&lt;chunksize=(915, 915), meta=np.ndarray&gt;\n",
-       "    wvp      (y, x) uint16 60MB dask.array&lt;chunksize=(915, 915), meta=np.ndarray&gt;</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>r20m</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-c2bee311-590d-4428-87d3-86e60a0cf10f' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-c2bee311-590d-4428-87d3-86e60a0cf10f' class='xr-section-summary'  title='Expand/collapse section'>Groups: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><div style='display: inline-grid; grid-template-columns: 100%; grid-column: 1 / -1'></div></div></li><li class='xr-section-item'><input id='section-45b9ae05-fb37-41f6-97ef-f4474054ccf0' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-45b9ae05-fb37-41f6-97ef-f4474054ccf0' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>y</span>: 5490</li><li><span class='xr-has-index'>x</span>: 5490</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-87058430-1a36-4abb-a3c5-942b092364b7' class='xr-section-summary-in' type='checkbox'  checked><label for='section-87058430-1a36-4abb-a3c5-942b092364b7' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>499990 500010 ... 609750 609770</div><input id='attrs-b8f3bc50-613a-4b23-901e-268f083b419e' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-b8f3bc50-613a-4b23-901e-268f083b419e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-899d5877-c8cb-46f6-a19d-f9c257afbb2f' class='xr-var-data-in' type='checkbox'><label for='data-899d5877-c8cb-46f6-a19d-f9c257afbb2f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([499990, 500010, 500030, ..., 609730, 609750, 609770])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>5300030 5300010 ... 5190270 5190250</div><input id='attrs-11b2072d-67fa-4663-a231-7e92528433ee' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-11b2072d-67fa-4663-a231-7e92528433ee' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-20221f5b-b215-4593-8bd2-24d00ef88156' class='xr-var-data-in' type='checkbox'><label for='data-20221f5b-b215-4593-8bd2-24d00ef88156' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([5300030, 5300010, 5299990, ..., 5190290, 5190270, 5190250])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-c2273705-80ed-4d00-80e2-0466e6886318' class='xr-section-summary-in' type='checkbox'  checked><label for='section-c2273705-80ed-4d00-80e2-0466e6886318' class='xr-section-summary' >Data variables: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>aot</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>uint16</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(915, 915), meta=np.ndarray&gt;</div><input id='attrs-0495250c-5fcb-4507-adb6-6893cff893ef' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0495250c-5fcb-4507-adb6-6893cff893ef' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-eb18c43e-6eb6-4f50-bc54-9a5d97a2c4df' class='xr-var-data-in' type='checkbox'><label for='data-eb18c43e-6eb6-4f50-bc54-9a5d97a2c4df' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;]}</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 5190240.0, 609780.0, 5300040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32632</dd><dt><span>proj:shape :</span></dt><dd>[5490, 5490]</dd><dt><span>proj:transform :</span></dt><dd>[20.0, 0.0, 499980.0, 0.0, -20.0, 5300040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 32N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,9],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32632&quot;]]</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    wvp      (y, x) uint16 60MB dask.array&lt;chunksize=(915, 915), meta=np.ndarray&gt;</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>r20m</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-c8344185-edc0-44f0-bf3b-9570ed719dbb' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-c8344185-edc0-44f0-bf3b-9570ed719dbb' class='xr-section-summary'  title='Expand/collapse section'>Groups: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><div style='display: inline-grid; grid-template-columns: 100%; grid-column: 1 / -1'></div></div></li><li class='xr-section-item'><input id='section-b89c651b-ae2a-4112-9fe2-e1abf4ab3ed1' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-b89c651b-ae2a-4112-9fe2-e1abf4ab3ed1' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>y</span>: 5490</li><li><span class='xr-has-index'>x</span>: 5490</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-e83293fc-2b53-4920-8767-81db7b1b79c0' class='xr-section-summary-in' type='checkbox'  checked><label for='section-e83293fc-2b53-4920-8767-81db7b1b79c0' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>499990 500010 ... 609750 609770</div><input id='attrs-3e45bc28-8065-4eb9-9a72-dd78bb36f977' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-3e45bc28-8065-4eb9-9a72-dd78bb36f977' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6ef5636f-d2d2-49a9-bf7c-a7a2893e2948' class='xr-var-data-in' type='checkbox'><label for='data-6ef5636f-d2d2-49a9-bf7c-a7a2893e2948' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([499990, 500010, 500030, ..., 609730, 609750, 609770], shape=(5490,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>8000030 8000010 ... 7890270 7890250</div><input id='attrs-a6a5c5f0-5432-4be9-9418-bdb4d8f33c2d' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-a6a5c5f0-5432-4be9-9418-bdb4d8f33c2d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8abbc3fa-00d8-4521-8475-893d288952d8' class='xr-var-data-in' type='checkbox'><label for='data-8abbc3fa-00d8-4521-8475-893d288952d8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([8000030, 8000010, 7999990, ..., 7890290, 7890270, 7890250],\n",
+       "      shape=(5490,))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-9b49a158-c954-4af5-87ba-cb8819e9e852' class='xr-section-summary-in' type='checkbox'  checked><label for='section-9b49a158-c954-4af5-87ba-cb8819e9e852' class='xr-section-summary' >Data variables: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>aot</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>uint16</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(915, 915), meta=np.ndarray&gt;</div><input id='attrs-e104761a-fbfa-4433-b865-13c2fc8dc156' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e104761a-fbfa-4433-b865-13c2fc8dc156' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0c019b1d-5443-49f7-97d5-e30fddd768ef' class='xr-var-data-in' type='checkbox'><label for='data-0c019b1d-5443-49f7-97d5-e30fddd768ef' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;]}</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 7890240.0, 609780.0, 8000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32625</dd><dt><span>proj:shape :</span></dt><dd>[5490, 5490]</dd><dt><span>proj:transform :</span></dt><dd>[20.0, 0.0, 499980.0, 0.0, -20.0, 8000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 25N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,-33],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32625&quot;]]</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -35672,7 +34677,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>wvp</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>uint16</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(915, 915), meta=np.ndarray&gt;</div><input id='attrs-a722894e-82f1-47ca-a89a-023ae68a8c89' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a722894e-82f1-47ca-a89a-023ae68a8c89' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4df68553-2470-4341-ab75-4b97383be301' class='xr-var-data-in' type='checkbox'><label for='data-4df68553-2470-4341-ab75-4b97383be301' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;]}</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 5190240.0, 609780.0, 5300040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32632</dd><dt><span>proj:shape :</span></dt><dd>[5490, 5490]</dd><dt><span>proj:transform :</span></dt><dd>[20.0, 0.0, 499980.0, 0.0, -20.0, 5300040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 32N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,9],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32632&quot;]]</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>wvp</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>uint16</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(915, 915), meta=np.ndarray&gt;</div><input id='attrs-23b50bef-5e8a-49af-8d72-b754acddfdc8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-23b50bef-5e8a-49af-8d72-b754acddfdc8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c58b7510-c927-4584-9521-fe20fee057a2' class='xr-var-data-in' type='checkbox'><label for='data-c58b7510-c927-4584-9521-fe20fee057a2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;]}</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 7890240.0, 609780.0, 8000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32625</dd><dt><span>proj:shape :</span></dt><dd>[5490, 5490]</dd><dt><span>proj:transform :</span></dt><dd>[20.0, 0.0, 499980.0, 0.0, -20.0, 8000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 25N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,-33],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32625&quot;]]</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -35737,7 +34742,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-ac69806c-7fe3-438b-9a3a-b8c69cfaf1cf' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-ac69806c-7fe3-438b-9a3a-b8c69cfaf1cf' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div><div style='display: inline-grid; grid-template-columns: 0px 20px auto; width: 100%;'><div style='grid-column-start: 1;border-right: 0.2em solid;border-color: var(--xr-border-color);height: 1.2em;width: 0px;'></div><div style='grid-column-start: 2;grid-row-start: 1;height: 1em;width: 20px;border-bottom: 0.2em solid;border-color: var(--xr-border-color);'></div><div style='grid-column-start: 3;'><div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
+       "</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-704535fe-9681-4857-855a-c7a7a03b1f28' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-704535fe-9681-4857-855a-c7a7a03b1f28' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div><div style='display: inline-grid; grid-template-columns: 0px 20px auto; width: 100%;'><div style='grid-column-start: 1;border-right: 0.2em solid;border-color: var(--xr-border-color);height: 1.2em;width: 0px;'></div><div style='grid-column-start: 2;grid-row-start: 1;height: 1em;width: 20px;border-bottom: 0.2em solid;border-color: var(--xr-border-color);'></div><div style='grid-column-start: 3;'><div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
        "<defs>\n",
        "<symbol id=\"icon-database\" viewBox=\"0 0 32 32\">\n",
        "<path d=\"M16 0c-8.837 0-16 2.239-16 5v4c0 2.761 7.163 5 16 5s16-2.239 16-5v-4c0-2.761-7.163-5-16-5z\"></path>\n",
@@ -36111,10 +35116,11 @@
        "Dimensions:  (y: 1830, x: 1830)\n",
        "Coordinates:\n",
        "  * x        (x) int64 15kB 500010 500070 500130 500190 ... 609630 609690 609750\n",
-       "  * y        (y) int64 15kB 5300010 5299950 5299890 ... 5190390 5190330 5190270\n",
+       "  * y        (y) int64 15kB 8000010 7999950 7999890 ... 7890390 7890330 7890270\n",
        "Data variables:\n",
        "    aot      (y, x) uint16 7MB dask.array&lt;chunksize=(305, 305), meta=np.ndarray&gt;\n",
-       "    wvp      (y, x) uint16 7MB dask.array&lt;chunksize=(305, 305), meta=np.ndarray&gt;</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>r60m</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-2436e258-1484-4ff5-a413-69929f6052d3' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-2436e258-1484-4ff5-a413-69929f6052d3' class='xr-section-summary'  title='Expand/collapse section'>Groups: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><div style='display: inline-grid; grid-template-columns: 100%; grid-column: 1 / -1'></div></div></li><li class='xr-section-item'><input id='section-6e7fdc9c-5516-45f5-9beb-500d98cc4bb7' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-6e7fdc9c-5516-45f5-9beb-500d98cc4bb7' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>y</span>: 1830</li><li><span class='xr-has-index'>x</span>: 1830</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-01bbdfb5-26a7-47d8-a78e-dbc38abd5687' class='xr-section-summary-in' type='checkbox'  checked><label for='section-01bbdfb5-26a7-47d8-a78e-dbc38abd5687' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>500010 500070 ... 609690 609750</div><input id='attrs-d0784292-b66f-435a-a1ed-ebd1f7c74fda' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-d0784292-b66f-435a-a1ed-ebd1f7c74fda' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c26168e2-55e6-4b5a-8953-cd8ff96cf243' class='xr-var-data-in' type='checkbox'><label for='data-c26168e2-55e6-4b5a-8953-cd8ff96cf243' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([500010, 500070, 500130, ..., 609630, 609690, 609750])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>5300010 5299950 ... 5190330 5190270</div><input id='attrs-41ec08e0-7496-4cd6-9348-d3c6586db4fa' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-41ec08e0-7496-4cd6-9348-d3c6586db4fa' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-52f16396-3be4-4d6a-9b87-cc2da0c16cda' class='xr-var-data-in' type='checkbox'><label for='data-52f16396-3be4-4d6a-9b87-cc2da0c16cda' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([5300010, 5299950, 5299890, ..., 5190390, 5190330, 5190270])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-a93cf1a1-13f9-4a0e-be66-20b9bb547726' class='xr-section-summary-in' type='checkbox'  checked><label for='section-a93cf1a1-13f9-4a0e-be66-20b9bb547726' class='xr-section-summary' >Data variables: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>aot</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>uint16</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(305, 305), meta=np.ndarray&gt;</div><input id='attrs-34d3bd7f-7cd5-40cd-9c7b-8fd5f403a477' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-34d3bd7f-7cd5-40cd-9c7b-8fd5f403a477' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9fccdf15-b51a-4f58-8773-aca0d7d8fd9f' class='xr-var-data-in' type='checkbox'><label for='data-9fccdf15-b51a-4f58-8773-aca0d7d8fd9f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;]}</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 5190240.0, 609780.0, 5300040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32632</dd><dt><span>proj:shape :</span></dt><dd>[1830, 1830]</dd><dt><span>proj:transform :</span></dt><dd>[60.0, 0.0, 499980.0, 0.0, -60.0, 5300040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 32N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,9],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32632&quot;]]</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    wvp      (y, x) uint16 7MB dask.array&lt;chunksize=(305, 305), meta=np.ndarray&gt;</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>r60m</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-c67b121e-9145-4249-96a5-fb4c6c089977' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-c67b121e-9145-4249-96a5-fb4c6c089977' class='xr-section-summary'  title='Expand/collapse section'>Groups: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><div style='display: inline-grid; grid-template-columns: 100%; grid-column: 1 / -1'></div></div></li><li class='xr-section-item'><input id='section-2a8c8f2d-fdf4-40b0-bd94-aaeb09699562' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-2a8c8f2d-fdf4-40b0-bd94-aaeb09699562' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>y</span>: 1830</li><li><span class='xr-has-index'>x</span>: 1830</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-8d5ee515-e3c5-4eb4-a04c-0238033c2025' class='xr-section-summary-in' type='checkbox'  checked><label for='section-8d5ee515-e3c5-4eb4-a04c-0238033c2025' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>500010 500070 ... 609690 609750</div><input id='attrs-cc25bb1b-764b-4f14-810e-3a2ee26f7310' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-cc25bb1b-764b-4f14-810e-3a2ee26f7310' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4d19febe-7b17-406e-90b5-09453ef2d3d1' class='xr-var-data-in' type='checkbox'><label for='data-4d19febe-7b17-406e-90b5-09453ef2d3d1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([500010, 500070, 500130, ..., 609630, 609690, 609750], shape=(1830,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>8000010 7999950 ... 7890330 7890270</div><input id='attrs-7c590052-2b8d-41ed-9db7-0de647168286' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-7c590052-2b8d-41ed-9db7-0de647168286' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7fa34758-cd7b-4a77-a918-0e50e10810aa' class='xr-var-data-in' type='checkbox'><label for='data-7fa34758-cd7b-4a77-a918-0e50e10810aa' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([8000010, 7999950, 7999890, ..., 7890390, 7890330, 7890270],\n",
+       "      shape=(1830,))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-8e72f362-4185-4a26-90c5-c5655f2afbe2' class='xr-section-summary-in' type='checkbox'  checked><label for='section-8e72f362-4185-4a26-90c5-c5655f2afbe2' class='xr-section-summary' >Data variables: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>aot</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>uint16</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(305, 305), meta=np.ndarray&gt;</div><input id='attrs-1f454b4b-4879-4fec-b7d2-580917726a94' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1f454b4b-4879-4fec-b7d2-580917726a94' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d3fc7175-9ba3-45d0-b06d-bdce644701c7' class='xr-var-data-in' type='checkbox'><label for='data-d3fc7175-9ba3-45d0-b06d-bdce644701c7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;]}</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 7890240.0, 609780.0, 8000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32625</dd><dt><span>proj:shape :</span></dt><dd>[1830, 1830]</dd><dt><span>proj:transform :</span></dt><dd>[60.0, 0.0, 499980.0, 0.0, -60.0, 8000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 25N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,-33],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32625&quot;]]</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -36179,7 +35185,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>wvp</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>uint16</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(305, 305), meta=np.ndarray&gt;</div><input id='attrs-848c3d2f-cf4d-4f52-ab1b-4fd7f5261f4e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-848c3d2f-cf4d-4f52-ab1b-4fd7f5261f4e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d3233201-47a9-4973-91c4-bf542f822a79' class='xr-var-data-in' type='checkbox'><label for='data-d3233201-47a9-4973-91c4-bf542f822a79' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;]}</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 5190240.0, 609780.0, 5300040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32632</dd><dt><span>proj:shape :</span></dt><dd>[1830, 1830]</dd><dt><span>proj:transform :</span></dt><dd>[60.0, 0.0, 499980.0, 0.0, -60.0, 5300040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 32N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,9],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32632&quot;]]</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>wvp</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>uint16</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(305, 305), meta=np.ndarray&gt;</div><input id='attrs-1e4cd89f-105e-4e95-820d-0f2c88b27e7e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1e4cd89f-105e-4e95-820d-0f2c88b27e7e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-358e4bb3-faf5-4eda-8a7d-1b8d1c9606b9' class='xr-var-data-in' type='checkbox'><label for='data-358e4bb3-faf5-4eda-8a7d-1b8d1c9606b9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;]}</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 7890240.0, 609780.0, 8000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32625</dd><dt><span>proj:shape :</span></dt><dd>[1830, 1830]</dd><dt><span>proj:transform :</span></dt><dd>[60.0, 0.0, 499980.0, 0.0, -60.0, 8000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 25N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,-33],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32625&quot;]]</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -36244,7 +35250,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-e7248f5a-498d-4a6c-a5af-db06b79560d6' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-e7248f5a-498d-4a6c-a5af-db06b79560d6' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div></div></div></li><li class='xr-section-item'><input id='section-c6e20e6d-1cab-4877-b0df-b3d36fb3c17f' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-c6e20e6d-1cab-4877-b0df-b3d36fb3c17f' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-96cc0eb9-bc7d-4d34-87b8-e8b10b6e73e5' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-96cc0eb9-bc7d-4d34-87b8-e8b10b6e73e5' class='xr-section-summary'  title='Expand/collapse section'>Coordinates: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-c83cb11e-fefa-4b03-be34-8f574be6f02a' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-c83cb11e-fefa-4b03-be34-8f574be6f02a' class='xr-section-summary'  title='Expand/collapse section'>Data variables: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-5ee4fc69-9b20-42b5-9783-5979bd65cb39' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-5ee4fc69-9b20-42b5-9783-5979bd65cb39' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div><div style='display: inline-grid; grid-template-columns: 0px 20px auto; width: 100%;'><div style='grid-column-start: 1;border-right: 0.2em solid;border-color: var(--xr-border-color);height: 100%;width: 0px;'></div><div style='grid-column-start: 2;grid-row-start: 1;height: 1em;width: 20px;border-bottom: 0.2em solid;border-color: var(--xr-border-color);'></div><div style='grid-column-start: 3;'><div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
+       "</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-d130cd5d-ca3e-4fc7-b431-81d77e472800' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-d130cd5d-ca3e-4fc7-b431-81d77e472800' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div></div></div></li><li class='xr-section-item'><input id='section-49cbbeb9-d923-48a3-af73-d8aae808691b' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-49cbbeb9-d923-48a3-af73-d8aae808691b' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-8076cf13-6984-478d-9301-8f2fbedb8f54' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-8076cf13-6984-478d-9301-8f2fbedb8f54' class='xr-section-summary'  title='Expand/collapse section'>Coordinates: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-87ada97b-226b-4dbb-9848-42f2cf094f08' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-87ada97b-226b-4dbb-9848-42f2cf094f08' class='xr-section-summary'  title='Expand/collapse section'>Data variables: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-a3715123-cb31-4974-9158-3f604b2f2170' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-a3715123-cb31-4974-9158-3f604b2f2170' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div><div style='display: inline-grid; grid-template-columns: 0px 20px auto; width: 100%;'><div style='grid-column-start: 1;border-right: 0.2em solid;border-color: var(--xr-border-color);height: 100%;width: 0px;'></div><div style='grid-column-start: 2;grid-row-start: 1;height: 1em;width: 20px;border-bottom: 0.2em solid;border-color: var(--xr-border-color);'></div><div style='grid-column-start: 3;'><div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
        "<defs>\n",
        "<symbol id=\"icon-database\" viewBox=\"0 0 32 32\">\n",
        "<path d=\"M16 0c-8.837 0-16 2.239-16 5v4c0 2.761 7.163 5 16 5s16-2.239 16-5v-4c0-2.761-7.163-5-16-5z\"></path>\n",
@@ -36617,7 +35623,7 @@
        "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DatasetView&gt; Size: 0B\n",
        "Dimensions:  ()\n",
        "Data variables:\n",
-       "    *empty*</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>l2a_quicklook</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-d2a91fe1-0290-4ec6-b324-919769892d9a' class='xr-section-summary-in' type='checkbox'  ><label for='section-d2a91fe1-0290-4ec6-b324-919769892d9a' class='xr-section-summary' >Groups: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><div style='display: inline-grid; grid-template-columns: 100%; grid-column: 1 / -1'><div style='display: inline-grid; grid-template-columns: 0px 20px auto; width: 100%;'><div style='grid-column-start: 1;border-right: 0.2em solid;border-color: var(--xr-border-color);height: 100%;width: 0px;'></div><div style='grid-column-start: 2;grid-row-start: 1;height: 1em;width: 20px;border-bottom: 0.2em solid;border-color: var(--xr-border-color);'></div><div style='grid-column-start: 3;'><div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
+       "    *empty*</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>l2a_quicklook</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-691a66e1-8900-491a-9fe9-cab57b8df001' class='xr-section-summary-in' type='checkbox'  ><label for='section-691a66e1-8900-491a-9fe9-cab57b8df001' class='xr-section-summary' >Groups: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><div style='display: inline-grid; grid-template-columns: 100%; grid-column: 1 / -1'><div style='display: inline-grid; grid-template-columns: 0px 20px auto; width: 100%;'><div style='grid-column-start: 1;border-right: 0.2em solid;border-color: var(--xr-border-color);height: 100%;width: 0px;'></div><div style='grid-column-start: 2;grid-row-start: 1;height: 1em;width: 20px;border-bottom: 0.2em solid;border-color: var(--xr-border-color);'></div><div style='grid-column-start: 3;'><div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
        "<defs>\n",
        "<symbol id=\"icon-database\" viewBox=\"0 0 32 32\">\n",
        "<path d=\"M16 0c-8.837 0-16 2.239-16 5v4c0 2.761 7.163 5 16 5s16-2.239 16-5v-4c0-2.761-7.163-5-16-5z\"></path>\n",
@@ -36992,9 +35998,10 @@
        "Coordinates:\n",
        "  * band     (band) int64 24B 1 2 3\n",
        "  * x        (x) int64 88kB 499985 499995 500005 500015 ... 609755 609765 609775\n",
-       "  * y        (y) int64 88kB 5300035 5300025 5300015 ... 5190265 5190255 5190245\n",
+       "  * y        (y) int64 88kB 8000035 8000025 8000015 ... 7890265 7890255 7890245\n",
        "Data variables:\n",
-       "    tci      (band, y, x) uint8 362MB dask.array&lt;chunksize=(1, 1830, 1830), meta=np.ndarray&gt;</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>r10m</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-bb557409-bca0-4610-a2ff-24d28b8123f5' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-bb557409-bca0-4610-a2ff-24d28b8123f5' class='xr-section-summary'  title='Expand/collapse section'>Groups: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><div style='display: inline-grid; grid-template-columns: 100%; grid-column: 1 / -1'></div></div></li><li class='xr-section-item'><input id='section-0bfed000-5876-4a21-b6f5-0b5b2988b1be' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-0bfed000-5876-4a21-b6f5-0b5b2988b1be' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>band</span>: 3</li><li><span class='xr-has-index'>y</span>: 10980</li><li><span class='xr-has-index'>x</span>: 10980</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-3f58ead5-13bb-41f8-8d5b-419eb855170d' class='xr-section-summary-in' type='checkbox'  checked><label for='section-3f58ead5-13bb-41f8-8d5b-419eb855170d' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>band</span></div><div class='xr-var-dims'>(band)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>1 2 3</div><input id='attrs-8740778f-a1bf-4ad7-84b7-c87806e39547' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-8740778f-a1bf-4ad7-84b7-c87806e39547' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fbcb4055-88ac-4707-b164-65807d90d08b' class='xr-var-data-in' type='checkbox'><label for='data-fbcb4055-88ac-4707-b164-65807d90d08b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([1, 2, 3])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>499985 499995 ... 609765 609775</div><input id='attrs-e63a27fd-4191-4ef9-a625-98a7e9bf02c2' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-e63a27fd-4191-4ef9-a625-98a7e9bf02c2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c53d7b62-a877-46aa-af24-0f913c0e1ff3' class='xr-var-data-in' type='checkbox'><label for='data-c53d7b62-a877-46aa-af24-0f913c0e1ff3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([499985, 499995, 500005, ..., 609755, 609765, 609775])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>5300035 5300025 ... 5190255 5190245</div><input id='attrs-5d15b450-8e32-4758-af1b-41eb411ec285' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-5d15b450-8e32-4758-af1b-41eb411ec285' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-45c07645-7f91-4eb3-843d-92a1a4dfe5af' class='xr-var-data-in' type='checkbox'><label for='data-45c07645-7f91-4eb3-843d-92a1a4dfe5af' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([5300035, 5300025, 5300015, ..., 5190265, 5190255, 5190245])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-96e6a870-1534-42ee-9311-5941d4d6c291' class='xr-section-summary-in' type='checkbox'  checked><label for='section-96e6a870-1534-42ee-9311-5941d4d6c291' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>tci</span></div><div class='xr-var-dims'>(band, y, x)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 1830, 1830), meta=np.ndarray&gt;</div><input id='attrs-0f811c1b-3a69-45fb-8ef2-3b807984ec3c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0f811c1b-3a69-45fb-8ef2-3b807984ec3c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a1b0bd09-a47f-41b4-9261-44315a8a769a' class='xr-var-data-in' type='checkbox'><label for='data-a1b0bd09-a47f-41b4-9261-44315a8a769a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;band&#x27;, &#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;band&#x27;, &#x27;y&#x27;, &#x27;x&#x27;]}</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 5190240.0, 609780.0, 5300040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32632</dd><dt><span>proj:shape :</span></dt><dd>[10980, 10980]</dd><dt><span>proj:transform :</span></dt><dd>[10.0, 0.0, 499980.0, 0.0, -10.0, 5300040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 32N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,9],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32632&quot;]]</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    tci      (band, y, x) uint8 362MB dask.array&lt;chunksize=(1, 1830, 1830), meta=np.ndarray&gt;</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>r10m</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-9b06480f-b48f-4009-b409-8edaea9b9dcf' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-9b06480f-b48f-4009-b409-8edaea9b9dcf' class='xr-section-summary'  title='Expand/collapse section'>Groups: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><div style='display: inline-grid; grid-template-columns: 100%; grid-column: 1 / -1'></div></div></li><li class='xr-section-item'><input id='section-98997ca4-4300-42be-b65b-de9b8e6c541a' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-98997ca4-4300-42be-b65b-de9b8e6c541a' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>band</span>: 3</li><li><span class='xr-has-index'>y</span>: 10980</li><li><span class='xr-has-index'>x</span>: 10980</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-6f665c93-9394-4783-9739-0efdd4e0b1f2' class='xr-section-summary-in' type='checkbox'  checked><label for='section-6f665c93-9394-4783-9739-0efdd4e0b1f2' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>band</span></div><div class='xr-var-dims'>(band)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>1 2 3</div><input id='attrs-e15b53f6-c7ef-463e-bc75-b8c0e73400e2' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-e15b53f6-c7ef-463e-bc75-b8c0e73400e2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6c76f2c5-4dba-4d45-b218-fe07cbe9c4b3' class='xr-var-data-in' type='checkbox'><label for='data-6c76f2c5-4dba-4d45-b218-fe07cbe9c4b3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([1, 2, 3])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>499985 499995 ... 609765 609775</div><input id='attrs-0732a80a-bad1-445a-8af6-42ce63d27381' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-0732a80a-bad1-445a-8af6-42ce63d27381' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6e2d1ed2-0bf5-432a-8829-4b29b86c2d0d' class='xr-var-data-in' type='checkbox'><label for='data-6e2d1ed2-0bf5-432a-8829-4b29b86c2d0d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([499985, 499995, 500005, ..., 609755, 609765, 609775], shape=(10980,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>8000035 8000025 ... 7890255 7890245</div><input id='attrs-16bdb3ba-4c3b-45aa-917e-21a7b4fdd00d' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-16bdb3ba-4c3b-45aa-917e-21a7b4fdd00d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9a0a5922-a115-4aaa-85ae-04474c1e1c33' class='xr-var-data-in' type='checkbox'><label for='data-9a0a5922-a115-4aaa-85ae-04474c1e1c33' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([8000035, 8000025, 8000015, ..., 7890265, 7890255, 7890245],\n",
+       "      shape=(10980,))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-19a2676b-a260-435f-8ff2-a019b4bb95f0' class='xr-section-summary-in' type='checkbox'  checked><label for='section-19a2676b-a260-435f-8ff2-a019b4bb95f0' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>tci</span></div><div class='xr-var-dims'>(band, y, x)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 1830, 1830), meta=np.ndarray&gt;</div><input id='attrs-eebe6711-5c65-488e-af7c-973816a915d4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-eebe6711-5c65-488e-af7c-973816a915d4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5cc6f662-2659-47cb-be74-a1083766535c' class='xr-var-data-in' type='checkbox'><label for='data-5cc6f662-2659-47cb-be74-a1083766535c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;band&#x27;, &#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;band&#x27;, &#x27;y&#x27;, &#x27;x&#x27;]}</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 7890240.0, 609780.0, 8000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32625</dd><dt><span>proj:shape :</span></dt><dd>[10980, 10980]</dd><dt><span>proj:transform :</span></dt><dd>[10.0, 0.0, 499980.0, 0.0, -10.0, 8000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 25N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,-33],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32625&quot;]]</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -37096,7 +36103,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-bc1a907f-cbcf-4091-93f9-0fe3033ce59d' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-bc1a907f-cbcf-4091-93f9-0fe3033ce59d' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div><div style='display: inline-grid; grid-template-columns: 0px 20px auto; width: 100%;'><div style='grid-column-start: 1;border-right: 0.2em solid;border-color: var(--xr-border-color);height: 100%;width: 0px;'></div><div style='grid-column-start: 2;grid-row-start: 1;height: 1em;width: 20px;border-bottom: 0.2em solid;border-color: var(--xr-border-color);'></div><div style='grid-column-start: 3;'><div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
+       "</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-4c12c058-93f5-4847-821a-88f17b77c86a' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-4c12c058-93f5-4847-821a-88f17b77c86a' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div><div style='display: inline-grid; grid-template-columns: 0px 20px auto; width: 100%;'><div style='grid-column-start: 1;border-right: 0.2em solid;border-color: var(--xr-border-color);height: 100%;width: 0px;'></div><div style='grid-column-start: 2;grid-row-start: 1;height: 1em;width: 20px;border-bottom: 0.2em solid;border-color: var(--xr-border-color);'></div><div style='grid-column-start: 3;'><div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
        "<defs>\n",
        "<symbol id=\"icon-database\" viewBox=\"0 0 32 32\">\n",
        "<path d=\"M16 0c-8.837 0-16 2.239-16 5v4c0 2.761 7.163 5 16 5s16-2.239 16-5v-4c0-2.761-7.163-5-16-5z\"></path>\n",
@@ -37471,9 +36478,10 @@
        "Coordinates:\n",
        "  * band     (band) int64 24B 1 2 3\n",
        "  * x        (x) int64 44kB 499990 500010 500030 500050 ... 609730 609750 609770\n",
-       "  * y        (y) int64 44kB 5300030 5300010 5299990 ... 5190290 5190270 5190250\n",
+       "  * y        (y) int64 44kB 8000030 8000010 7999990 ... 7890290 7890270 7890250\n",
        "Data variables:\n",
-       "    tci      (band, y, x) uint8 90MB dask.array&lt;chunksize=(1, 915, 915), meta=np.ndarray&gt;</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>r20m</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-700b7329-06ea-48f8-95cd-1a586f5856a3' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-700b7329-06ea-48f8-95cd-1a586f5856a3' class='xr-section-summary'  title='Expand/collapse section'>Groups: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><div style='display: inline-grid; grid-template-columns: 100%; grid-column: 1 / -1'></div></div></li><li class='xr-section-item'><input id='section-c3b40275-8e46-4555-9dcd-a86da17f5a97' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-c3b40275-8e46-4555-9dcd-a86da17f5a97' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>band</span>: 3</li><li><span class='xr-has-index'>y</span>: 5490</li><li><span class='xr-has-index'>x</span>: 5490</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-e8b75601-b84a-4caf-af61-2d1921ec43d2' class='xr-section-summary-in' type='checkbox'  checked><label for='section-e8b75601-b84a-4caf-af61-2d1921ec43d2' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>band</span></div><div class='xr-var-dims'>(band)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>1 2 3</div><input id='attrs-af5a9a3a-ae5d-49b8-bdcb-8e48bbd8145d' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-af5a9a3a-ae5d-49b8-bdcb-8e48bbd8145d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f81c5636-dcaf-46b7-a1b3-b10fc2b497eb' class='xr-var-data-in' type='checkbox'><label for='data-f81c5636-dcaf-46b7-a1b3-b10fc2b497eb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([1, 2, 3])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>499990 500010 ... 609750 609770</div><input id='attrs-ad87ea00-f0aa-4b26-a6a9-41423d3617f6' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-ad87ea00-f0aa-4b26-a6a9-41423d3617f6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3c7b6ae3-271b-4de3-869f-c97d154f4624' class='xr-var-data-in' type='checkbox'><label for='data-3c7b6ae3-271b-4de3-869f-c97d154f4624' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([499990, 500010, 500030, ..., 609730, 609750, 609770])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>5300030 5300010 ... 5190270 5190250</div><input id='attrs-fd0fb0e2-7862-41d6-9419-2d13e02482bc' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-fd0fb0e2-7862-41d6-9419-2d13e02482bc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-26bdb608-f84d-437f-9582-114c7bd8f87d' class='xr-var-data-in' type='checkbox'><label for='data-26bdb608-f84d-437f-9582-114c7bd8f87d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([5300030, 5300010, 5299990, ..., 5190290, 5190270, 5190250])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-c55d5fe6-a0ac-4151-9d85-d379c31306f8' class='xr-section-summary-in' type='checkbox'  checked><label for='section-c55d5fe6-a0ac-4151-9d85-d379c31306f8' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>tci</span></div><div class='xr-var-dims'>(band, y, x)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 915, 915), meta=np.ndarray&gt;</div><input id='attrs-0328201b-298a-45e2-a360-1fb708eda5bd' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0328201b-298a-45e2-a360-1fb708eda5bd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-53eb9e9b-0a2f-46d1-b583-fe1056f7bade' class='xr-var-data-in' type='checkbox'><label for='data-53eb9e9b-0a2f-46d1-b583-fe1056f7bade' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;band&#x27;, &#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;band&#x27;, &#x27;y&#x27;, &#x27;x&#x27;]}</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 5190240.0, 609780.0, 5300040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32632</dd><dt><span>proj:shape :</span></dt><dd>[5490, 5490]</dd><dt><span>proj:transform :</span></dt><dd>[20.0, 0.0, 499980.0, 0.0, -20.0, 5300040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 32N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,9],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32632&quot;]]</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    tci      (band, y, x) uint8 90MB dask.array&lt;chunksize=(1, 915, 915), meta=np.ndarray&gt;</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>r20m</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-d2052c43-d457-4866-9206-672b3e470571' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-d2052c43-d457-4866-9206-672b3e470571' class='xr-section-summary'  title='Expand/collapse section'>Groups: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><div style='display: inline-grid; grid-template-columns: 100%; grid-column: 1 / -1'></div></div></li><li class='xr-section-item'><input id='section-965d86c4-9aff-471c-b80e-d8ebdefb9ac0' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-965d86c4-9aff-471c-b80e-d8ebdefb9ac0' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>band</span>: 3</li><li><span class='xr-has-index'>y</span>: 5490</li><li><span class='xr-has-index'>x</span>: 5490</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-89c8338e-bef1-4f72-985b-10d77bbe6edf' class='xr-section-summary-in' type='checkbox'  checked><label for='section-89c8338e-bef1-4f72-985b-10d77bbe6edf' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>band</span></div><div class='xr-var-dims'>(band)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>1 2 3</div><input id='attrs-1789aced-0aa1-4dc3-b6bd-a1facb1e8901' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-1789aced-0aa1-4dc3-b6bd-a1facb1e8901' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dc22a19f-3f47-490c-ac65-e5d30b9ea255' class='xr-var-data-in' type='checkbox'><label for='data-dc22a19f-3f47-490c-ac65-e5d30b9ea255' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([1, 2, 3])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>499990 500010 ... 609750 609770</div><input id='attrs-d3309e7b-5eff-484c-a1ab-d49d09ef0d6d' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-d3309e7b-5eff-484c-a1ab-d49d09ef0d6d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2daed41e-21aa-4a42-882b-8196e570f594' class='xr-var-data-in' type='checkbox'><label for='data-2daed41e-21aa-4a42-882b-8196e570f594' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([499990, 500010, 500030, ..., 609730, 609750, 609770], shape=(5490,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>8000030 8000010 ... 7890270 7890250</div><input id='attrs-20fb7e1a-b4d6-43c8-ab0c-70f843bb3eb7' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-20fb7e1a-b4d6-43c8-ab0c-70f843bb3eb7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-373de606-c520-4e46-a233-8c779bbc7461' class='xr-var-data-in' type='checkbox'><label for='data-373de606-c520-4e46-a233-8c779bbc7461' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([8000030, 8000010, 7999990, ..., 7890290, 7890270, 7890250],\n",
+       "      shape=(5490,))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-652ec9f5-a060-47bf-a175-c0f44b7a8a69' class='xr-section-summary-in' type='checkbox'  checked><label for='section-652ec9f5-a060-47bf-a175-c0f44b7a8a69' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>tci</span></div><div class='xr-var-dims'>(band, y, x)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 915, 915), meta=np.ndarray&gt;</div><input id='attrs-69b6c5be-2a0c-457b-adfc-813e2521f0d0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-69b6c5be-2a0c-457b-adfc-813e2521f0d0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6258470b-bab8-425d-baf0-4e394d8435d5' class='xr-var-data-in' type='checkbox'><label for='data-6258470b-bab8-425d-baf0-4e394d8435d5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;band&#x27;, &#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;band&#x27;, &#x27;y&#x27;, &#x27;x&#x27;]}</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 7890240.0, 609780.0, 8000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32625</dd><dt><span>proj:shape :</span></dt><dd>[5490, 5490]</dd><dt><span>proj:transform :</span></dt><dd>[20.0, 0.0, 499980.0, 0.0, -20.0, 8000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 25N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,-33],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32625&quot;]]</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -37575,7 +36583,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-4b48d972-e53e-4823-88a6-dffde9503104' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-4b48d972-e53e-4823-88a6-dffde9503104' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div><div style='display: inline-grid; grid-template-columns: 0px 20px auto; width: 100%;'><div style='grid-column-start: 1;border-right: 0.2em solid;border-color: var(--xr-border-color);height: 1.2em;width: 0px;'></div><div style='grid-column-start: 2;grid-row-start: 1;height: 1em;width: 20px;border-bottom: 0.2em solid;border-color: var(--xr-border-color);'></div><div style='grid-column-start: 3;'><div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
+       "</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-b8016b60-d2bd-42fd-9c65-8643c9f5fba6' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-b8016b60-d2bd-42fd-9c65-8643c9f5fba6' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div><div style='display: inline-grid; grid-template-columns: 0px 20px auto; width: 100%;'><div style='grid-column-start: 1;border-right: 0.2em solid;border-color: var(--xr-border-color);height: 1.2em;width: 0px;'></div><div style='grid-column-start: 2;grid-row-start: 1;height: 1em;width: 20px;border-bottom: 0.2em solid;border-color: var(--xr-border-color);'></div><div style='grid-column-start: 3;'><div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
        "<defs>\n",
        "<symbol id=\"icon-database\" viewBox=\"0 0 32 32\">\n",
        "<path d=\"M16 0c-8.837 0-16 2.239-16 5v4c0 2.761 7.163 5 16 5s16-2.239 16-5v-4c0-2.761-7.163-5-16-5z\"></path>\n",
@@ -37950,9 +36958,10 @@
        "Coordinates:\n",
        "  * band     (band) int64 24B 1 2 3\n",
        "  * x        (x) int64 15kB 500010 500070 500130 500190 ... 609630 609690 609750\n",
-       "  * y        (y) int64 15kB 5300010 5299950 5299890 ... 5190390 5190330 5190270\n",
+       "  * y        (y) int64 15kB 8000010 7999950 7999890 ... 7890390 7890330 7890270\n",
        "Data variables:\n",
-       "    tci      (band, y, x) uint8 10MB dask.array&lt;chunksize=(1, 305, 305), meta=np.ndarray&gt;</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>r60m</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-1d0fee99-3400-4918-8bed-b9a3be5dc0cd' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-1d0fee99-3400-4918-8bed-b9a3be5dc0cd' class='xr-section-summary'  title='Expand/collapse section'>Groups: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><div style='display: inline-grid; grid-template-columns: 100%; grid-column: 1 / -1'></div></div></li><li class='xr-section-item'><input id='section-5af0bf38-ddd4-4bec-9a7f-461d7e02953a' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-5af0bf38-ddd4-4bec-9a7f-461d7e02953a' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>band</span>: 3</li><li><span class='xr-has-index'>y</span>: 1830</li><li><span class='xr-has-index'>x</span>: 1830</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-066c9e1a-d1c9-4be4-a5f6-5a99225f5141' class='xr-section-summary-in' type='checkbox'  checked><label for='section-066c9e1a-d1c9-4be4-a5f6-5a99225f5141' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>band</span></div><div class='xr-var-dims'>(band)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>1 2 3</div><input id='attrs-543c6523-6643-43e1-8b2f-f78ebf186ea3' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-543c6523-6643-43e1-8b2f-f78ebf186ea3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d6be4291-d5f8-44c2-a77f-9f44ff8781fa' class='xr-var-data-in' type='checkbox'><label for='data-d6be4291-d5f8-44c2-a77f-9f44ff8781fa' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([1, 2, 3])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>500010 500070 ... 609690 609750</div><input id='attrs-318334d1-abcd-4cec-adac-270b7e13bfab' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-318334d1-abcd-4cec-adac-270b7e13bfab' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-71465141-04ba-48a9-b4a4-f931b558df85' class='xr-var-data-in' type='checkbox'><label for='data-71465141-04ba-48a9-b4a4-f931b558df85' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([500010, 500070, 500130, ..., 609630, 609690, 609750])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>5300010 5299950 ... 5190330 5190270</div><input id='attrs-5047657f-4629-4e95-b6e4-f5e804969e23' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-5047657f-4629-4e95-b6e4-f5e804969e23' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4d1c042f-b64f-4bfd-9532-ab2a90b139bb' class='xr-var-data-in' type='checkbox'><label for='data-4d1c042f-b64f-4bfd-9532-ab2a90b139bb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([5300010, 5299950, 5299890, ..., 5190390, 5190330, 5190270])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-0df5138e-3d13-411c-9bb6-950e92020047' class='xr-section-summary-in' type='checkbox'  checked><label for='section-0df5138e-3d13-411c-9bb6-950e92020047' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>tci</span></div><div class='xr-var-dims'>(band, y, x)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 305, 305), meta=np.ndarray&gt;</div><input id='attrs-13c274f9-d599-4f07-8045-2c5a97fe96de' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-13c274f9-d599-4f07-8045-2c5a97fe96de' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-357a9902-b517-45b7-8be7-b287e2a27d48' class='xr-var-data-in' type='checkbox'><label for='data-357a9902-b517-45b7-8be7-b287e2a27d48' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;band&#x27;, &#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;band&#x27;, &#x27;y&#x27;, &#x27;x&#x27;]}</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 5190240.0, 609780.0, 5300040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32632</dd><dt><span>proj:shape :</span></dt><dd>[1830, 1830]</dd><dt><span>proj:transform :</span></dt><dd>[60.0, 0.0, 499980.0, 0.0, -60.0, 5300040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 32N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,9],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32632&quot;]]</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    tci      (band, y, x) uint8 10MB dask.array&lt;chunksize=(1, 305, 305), meta=np.ndarray&gt;</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>r60m</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-1ed2047b-68d6-4518-b3e8-edace3ba69e8' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-1ed2047b-68d6-4518-b3e8-edace3ba69e8' class='xr-section-summary'  title='Expand/collapse section'>Groups: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><div style='display: inline-grid; grid-template-columns: 100%; grid-column: 1 / -1'></div></div></li><li class='xr-section-item'><input id='section-473e2af0-a3fa-4273-9f4d-8f4b95edfeba' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-473e2af0-a3fa-4273-9f4d-8f4b95edfeba' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>band</span>: 3</li><li><span class='xr-has-index'>y</span>: 1830</li><li><span class='xr-has-index'>x</span>: 1830</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-a514ad16-b294-49be-84b9-5014708cd85c' class='xr-section-summary-in' type='checkbox'  checked><label for='section-a514ad16-b294-49be-84b9-5014708cd85c' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>band</span></div><div class='xr-var-dims'>(band)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>1 2 3</div><input id='attrs-d6ffb3bc-cd81-4df4-a1c2-127d15df1cf2' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-d6ffb3bc-cd81-4df4-a1c2-127d15df1cf2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d6ab3f0a-22d1-4327-b50b-c239ae09782e' class='xr-var-data-in' type='checkbox'><label for='data-d6ab3f0a-22d1-4327-b50b-c239ae09782e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([1, 2, 3])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>500010 500070 ... 609690 609750</div><input id='attrs-99c909b7-68dd-49c6-bfb8-33ababf422cc' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-99c909b7-68dd-49c6-bfb8-33ababf422cc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5b446cc6-a92d-46b6-99e0-c78b2a20f97b' class='xr-var-data-in' type='checkbox'><label for='data-5b446cc6-a92d-46b6-99e0-c78b2a20f97b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([500010, 500070, 500130, ..., 609630, 609690, 609750], shape=(1830,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>8000010 7999950 ... 7890330 7890270</div><input id='attrs-4df665a2-a58a-440f-9ea6-dbb180f48605' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-4df665a2-a58a-440f-9ea6-dbb180f48605' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-886dba4b-bdca-4c18-ba44-94af04530441' class='xr-var-data-in' type='checkbox'><label for='data-886dba4b-bdca-4c18-ba44-94af04530441' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([8000010, 7999950, 7999890, ..., 7890390, 7890330, 7890270],\n",
+       "      shape=(1830,))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-dac54db1-0870-4c68-a8ce-570c06553b3f' class='xr-section-summary-in' type='checkbox'  checked><label for='section-dac54db1-0870-4c68-a8ce-570c06553b3f' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>tci</span></div><div class='xr-var-dims'>(band, y, x)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 305, 305), meta=np.ndarray&gt;</div><input id='attrs-622d095c-b6f7-4517-b7a2-5ae4afbf749e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-622d095c-b6f7-4517-b7a2-5ae4afbf749e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c8d57f87-d34b-4516-b66f-da624bdb1cef' class='xr-var-data-in' type='checkbox'><label for='data-c8d57f87-d34b-4516-b66f-da624bdb1cef' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;band&#x27;, &#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;band&#x27;, &#x27;y&#x27;, &#x27;x&#x27;]}</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 7890240.0, 609780.0, 8000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32625</dd><dt><span>proj:shape :</span></dt><dd>[1830, 1830]</dd><dt><span>proj:transform :</span></dt><dd>[60.0, 0.0, 499980.0, 0.0, -60.0, 8000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 25N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,-33],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32625&quot;]]</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -38054,7 +37063,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-c3e804c8-2b90-427d-94ed-8c59535180ec' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-c3e804c8-2b90-427d-94ed-8c59535180ec' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div></div></div></li><li class='xr-section-item'><input id='section-92452f39-272c-4c72-bee9-dd7779744f88' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-92452f39-272c-4c72-bee9-dd7779744f88' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-156fa1e5-4db3-40a2-a097-9f6d62b08aed' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-156fa1e5-4db3-40a2-a097-9f6d62b08aed' class='xr-section-summary'  title='Expand/collapse section'>Coordinates: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-0a35772a-3ada-413b-a254-56ffa2dbfa7f' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-0a35772a-3ada-413b-a254-56ffa2dbfa7f' class='xr-section-summary'  title='Expand/collapse section'>Data variables: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-c871557e-fb42-4fbc-ae79-bf4485932c67' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-c871557e-fb42-4fbc-ae79-bf4485932c67' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div><div style='display: inline-grid; grid-template-columns: 0px 20px auto; width: 100%;'><div style='grid-column-start: 1;border-right: 0.2em solid;border-color: var(--xr-border-color);height: 100%;width: 0px;'></div><div style='grid-column-start: 2;grid-row-start: 1;height: 1em;width: 20px;border-bottom: 0.2em solid;border-color: var(--xr-border-color);'></div><div style='grid-column-start: 3;'><div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
+       "</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-f4f97ece-f05b-47d0-9fe4-b121525cd142' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-f4f97ece-f05b-47d0-9fe4-b121525cd142' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div></div></div></li><li class='xr-section-item'><input id='section-95b32feb-483b-4413-9ca3-4affa0d7340e' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-95b32feb-483b-4413-9ca3-4affa0d7340e' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-82bd1ece-7359-4567-8b2d-24619bfbc4b1' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-82bd1ece-7359-4567-8b2d-24619bfbc4b1' class='xr-section-summary'  title='Expand/collapse section'>Coordinates: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-26ba3e94-2d35-47c6-be53-b244263b99f8' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-26ba3e94-2d35-47c6-be53-b244263b99f8' class='xr-section-summary'  title='Expand/collapse section'>Data variables: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-27910e21-8a4a-42cf-963b-041ab5e6d00f' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-27910e21-8a4a-42cf-963b-041ab5e6d00f' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div><div style='display: inline-grid; grid-template-columns: 0px 20px auto; width: 100%;'><div style='grid-column-start: 1;border-right: 0.2em solid;border-color: var(--xr-border-color);height: 100%;width: 0px;'></div><div style='grid-column-start: 2;grid-row-start: 1;height: 1em;width: 20px;border-bottom: 0.2em solid;border-color: var(--xr-border-color);'></div><div style='grid-column-start: 3;'><div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
        "<defs>\n",
        "<symbol id=\"icon-database\" viewBox=\"0 0 32 32\">\n",
        "<path d=\"M16 0c-8.837 0-16 2.239-16 5v4c0 2.761 7.163 5 16 5s16-2.239 16-5v-4c0-2.761-7.163-5-16-5z\"></path>\n",
@@ -38427,7 +37436,7 @@
        "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DatasetView&gt; Size: 0B\n",
        "Dimensions:  ()\n",
        "Data variables:\n",
-       "    *empty*</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>mask</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-f64285fd-8fc9-40fb-8b53-3939179255e0' class='xr-section-summary-in' type='checkbox'  ><label for='section-f64285fd-8fc9-40fb-8b53-3939179255e0' class='xr-section-summary' >Groups: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><div style='display: inline-grid; grid-template-columns: 100%; grid-column: 1 / -1'><div style='display: inline-grid; grid-template-columns: 0px 20px auto; width: 100%;'><div style='grid-column-start: 1;border-right: 0.2em solid;border-color: var(--xr-border-color);height: 100%;width: 0px;'></div><div style='grid-column-start: 2;grid-row-start: 1;height: 1em;width: 20px;border-bottom: 0.2em solid;border-color: var(--xr-border-color);'></div><div style='grid-column-start: 3;'><div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
+       "    *empty*</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>mask</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-b0978ed2-7305-4776-97bb-e19a489d8151' class='xr-section-summary-in' type='checkbox'  ><label for='section-b0978ed2-7305-4776-97bb-e19a489d8151' class='xr-section-summary' >Groups: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><div style='display: inline-grid; grid-template-columns: 100%; grid-column: 1 / -1'><div style='display: inline-grid; grid-template-columns: 0px 20px auto; width: 100%;'><div style='grid-column-start: 1;border-right: 0.2em solid;border-color: var(--xr-border-color);height: 100%;width: 0px;'></div><div style='grid-column-start: 2;grid-row-start: 1;height: 1em;width: 20px;border-bottom: 0.2em solid;border-color: var(--xr-border-color);'></div><div style='grid-column-start: 3;'><div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
        "<defs>\n",
        "<symbol id=\"icon-database\" viewBox=\"0 0 32 32\">\n",
        "<path d=\"M16 0c-8.837 0-16 2.239-16 5v4c0 2.761 7.163 5 16 5s16-2.239 16-5v-4c0-2.761-7.163-5-16-5z\"></path>\n",
@@ -38801,12 +37810,13 @@
        "Dimensions:  (y: 10980, x: 10980)\n",
        "Coordinates:\n",
        "  * x        (x) int64 88kB 499985 499995 500005 500015 ... 609755 609765 609775\n",
-       "  * y        (y) int64 88kB 5300035 5300025 5300015 ... 5190265 5190255 5190245\n",
+       "  * y        (y) int64 88kB 8000035 8000025 8000015 ... 7890265 7890255 7890245\n",
        "Data variables:\n",
        "    b02      (y, x) uint8 121MB dask.array&lt;chunksize=(1830, 1830), meta=np.ndarray&gt;\n",
        "    b03      (y, x) uint8 121MB dask.array&lt;chunksize=(1830, 1830), meta=np.ndarray&gt;\n",
        "    b04      (y, x) uint8 121MB dask.array&lt;chunksize=(1830, 1830), meta=np.ndarray&gt;\n",
-       "    b08      (y, x) uint8 121MB dask.array&lt;chunksize=(1830, 1830), meta=np.ndarray&gt;</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>r10m</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-645bf7d5-c951-4dc3-a98a-b361213fb751' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-645bf7d5-c951-4dc3-a98a-b361213fb751' class='xr-section-summary'  title='Expand/collapse section'>Groups: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><div style='display: inline-grid; grid-template-columns: 100%; grid-column: 1 / -1'></div></div></li><li class='xr-section-item'><input id='section-c623f0a4-6a03-48da-b675-9464a93ac8b3' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-c623f0a4-6a03-48da-b675-9464a93ac8b3' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>y</span>: 10980</li><li><span class='xr-has-index'>x</span>: 10980</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-aaa34297-7bad-4817-8ac2-978f5e8c590d' class='xr-section-summary-in' type='checkbox'  checked><label for='section-aaa34297-7bad-4817-8ac2-978f5e8c590d' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>499985 499995 ... 609765 609775</div><input id='attrs-90798639-52bc-45f3-977c-0bef1d315b37' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-90798639-52bc-45f3-977c-0bef1d315b37' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f5edb5ec-ead0-4fef-b738-1571869b6373' class='xr-var-data-in' type='checkbox'><label for='data-f5edb5ec-ead0-4fef-b738-1571869b6373' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([499985, 499995, 500005, ..., 609755, 609765, 609775])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>5300035 5300025 ... 5190255 5190245</div><input id='attrs-399ce5b3-6ca0-45c0-8efb-c6b9f2a8a8f2' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-399ce5b3-6ca0-45c0-8efb-c6b9f2a8a8f2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-86d8829d-9614-42a8-9a0f-dad1e97c35cb' class='xr-var-data-in' type='checkbox'><label for='data-86d8829d-9614-42a8-9a0f-dad1e97c35cb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([5300035, 5300025, 5300015, ..., 5190265, 5190255, 5190245])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-ecefc75a-0584-4a9a-8b7b-d3974fe3ea39' class='xr-section-summary-in' type='checkbox'  checked><label for='section-ecefc75a-0584-4a9a-8b7b-d3974fe3ea39' class='xr-section-summary' >Data variables: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>b02</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1830, 1830), meta=np.ndarray&gt;</div><input id='attrs-631c677d-b240-48f9-b44b-957973f4c86c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-631c677d-b240-48f9-b44b-957973f4c86c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4dbabc28-d22a-4d3c-a6e6-b5ec7c544d9c' class='xr-var-data-in' type='checkbox'><label for='data-4dbabc28-d22a-4d3c-a6e6-b5ec7c544d9c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;flag_masks&#x27;: [1, 2, 4, 8, 16, 32, 64, 128], &#x27;flag_meanings&#x27;: [&#x27;ANC_LOST&#x27;, &#x27;ANC_DEG&#x27;, &#x27;MSI_LOST&#x27;, &#x27;MSI_DEG&#x27;, &#x27;QT_DEFECTIVE_PIXELS&#x27;, &#x27;QT_NODATA_PIXELS&#x27;, &#x27;QT_PARTIALLY_CORRECTED_PIXELS&#x27;, &#x27;QT_SATURATED_PIXELS_L1A&#x27;]}</dd><dt><span>dtype :</span></dt><dd>&lt;u1</dd><dt><span>flag_masks :</span></dt><dd>[1, 2, 4, 8, 16, 32, 64, 128]</dd><dt><span>flag_meanings :</span></dt><dd>[&#x27;ANC_LOST&#x27;, &#x27;ANC_DEG&#x27;, &#x27;MSI_LOST&#x27;, &#x27;MSI_DEG&#x27;, &#x27;QT_DEFECTIVE_PIXELS&#x27;, &#x27;QT_NODATA_PIXELS&#x27;, &#x27;QT_PARTIALLY_CORRECTED_PIXELS&#x27;, &#x27;QT_SATURATED_PIXELS_L1A&#x27;]</dd><dt><span>long_name :</span></dt><dd>quality mask provided in the final reference frame (ground geometry)</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 5190240.0, 609780.0, 5300040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32632</dd><dt><span>proj:shape :</span></dt><dd>[10980, 10980]</dd><dt><span>proj:transform :</span></dt><dd>[10.0, 0.0, 499980.0, 0.0, -10.0, 5300040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 32N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,9],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32632&quot;]]</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    b08      (y, x) uint8 121MB dask.array&lt;chunksize=(1830, 1830), meta=np.ndarray&gt;</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>r10m</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-cded2994-5193-41c5-bf5f-3ef37109c346' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-cded2994-5193-41c5-bf5f-3ef37109c346' class='xr-section-summary'  title='Expand/collapse section'>Groups: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><div style='display: inline-grid; grid-template-columns: 100%; grid-column: 1 / -1'></div></div></li><li class='xr-section-item'><input id='section-e95efbf5-51e0-4bd0-8f74-acb3cf0cd2dc' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-e95efbf5-51e0-4bd0-8f74-acb3cf0cd2dc' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>y</span>: 10980</li><li><span class='xr-has-index'>x</span>: 10980</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-d9ff378f-8f83-4c8d-b580-80256b9b1d65' class='xr-section-summary-in' type='checkbox'  checked><label for='section-d9ff378f-8f83-4c8d-b580-80256b9b1d65' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>499985 499995 ... 609765 609775</div><input id='attrs-3cc3e71d-34f6-4ee0-bd72-4ae304d5b8d7' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-3cc3e71d-34f6-4ee0-bd72-4ae304d5b8d7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bc9d1e21-7754-4588-a2be-1cd0eafac4c9' class='xr-var-data-in' type='checkbox'><label for='data-bc9d1e21-7754-4588-a2be-1cd0eafac4c9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([499985, 499995, 500005, ..., 609755, 609765, 609775], shape=(10980,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>8000035 8000025 ... 7890255 7890245</div><input id='attrs-5dabef76-744c-4424-bb0a-8b9cf6b4b32f' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-5dabef76-744c-4424-bb0a-8b9cf6b4b32f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7784256f-5119-46d6-afae-1d92a8550a8f' class='xr-var-data-in' type='checkbox'><label for='data-7784256f-5119-46d6-afae-1d92a8550a8f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([8000035, 8000025, 8000015, ..., 7890265, 7890255, 7890245],\n",
+       "      shape=(10980,))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-42e5fc78-1ed2-4654-b40c-c8288bf3c463' class='xr-section-summary-in' type='checkbox'  checked><label for='section-42e5fc78-1ed2-4654-b40c-c8288bf3c463' class='xr-section-summary' >Data variables: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>b02</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1830, 1830), meta=np.ndarray&gt;</div><input id='attrs-992e5470-ec56-4895-a598-640ca831482b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-992e5470-ec56-4895-a598-640ca831482b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-209e500b-1d00-454a-a435-0768990667bd' class='xr-var-data-in' type='checkbox'><label for='data-209e500b-1d00-454a-a435-0768990667bd' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;dtype&#x27;: &#x27;&lt;u1&#x27;, &#x27;flag_masks&#x27;: [1, 2, 4, 8, 16, 32, 64, 128], &#x27;flag_meanings&#x27;: [&#x27;ANC_LOST&#x27;, &#x27;ANC_DEG&#x27;, &#x27;MSI_LOST&#x27;, &#x27;MSI_DEG&#x27;, &#x27;QT_DEFECTIVE_PIXELS&#x27;, &#x27;QT_NODATA_PIXELS&#x27;, &#x27;QT_PARTIALLY_CORRECTED_PIXELS&#x27;, &#x27;QT_SATURATED_PIXELS_L1A&#x27;], &#x27;long_name&#x27;: &#x27;quality mask provided in the final reference frame (ground geometry)&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u1</dd><dt><span>flag_masks :</span></dt><dd>[1, 2, 4, 8, 16, 32, 64, 128]</dd><dt><span>flag_meanings :</span></dt><dd>[&#x27;ANC_LOST&#x27;, &#x27;ANC_DEG&#x27;, &#x27;MSI_LOST&#x27;, &#x27;MSI_DEG&#x27;, &#x27;QT_DEFECTIVE_PIXELS&#x27;, &#x27;QT_NODATA_PIXELS&#x27;, &#x27;QT_PARTIALLY_CORRECTED_PIXELS&#x27;, &#x27;QT_SATURATED_PIXELS_L1A&#x27;]</dd><dt><span>long_name :</span></dt><dd>quality mask provided in the final reference frame (ground geometry)</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 7890240.0, 609780.0, 8000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32625</dd><dt><span>proj:shape :</span></dt><dd>[10980, 10980]</dd><dt><span>proj:transform :</span></dt><dd>[10.0, 0.0, 499980.0, 0.0, -10.0, 8000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 25N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,-33],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32625&quot;]]</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -38871,7 +37881,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b03</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1830, 1830), meta=np.ndarray&gt;</div><input id='attrs-21a24eee-15c5-43c9-a3b0-24a2eb2f11a1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-21a24eee-15c5-43c9-a3b0-24a2eb2f11a1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9bd14e7e-c491-46dd-9761-0239cff86c6c' class='xr-var-data-in' type='checkbox'><label for='data-9bd14e7e-c491-46dd-9761-0239cff86c6c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;flag_masks&#x27;: [1, 2, 4, 8, 16, 32, 64, 128], &#x27;flag_meanings&#x27;: [&#x27;ANC_LOST&#x27;, &#x27;ANC_DEG&#x27;, &#x27;MSI_LOST&#x27;, &#x27;MSI_DEG&#x27;, &#x27;QT_DEFECTIVE_PIXELS&#x27;, &#x27;QT_NODATA_PIXELS&#x27;, &#x27;QT_PARTIALLY_CORRECTED_PIXELS&#x27;, &#x27;QT_SATURATED_PIXELS_L1A&#x27;]}</dd><dt><span>dtype :</span></dt><dd>&lt;u1</dd><dt><span>flag_masks :</span></dt><dd>[1, 2, 4, 8, 16, 32, 64, 128]</dd><dt><span>flag_meanings :</span></dt><dd>[&#x27;ANC_LOST&#x27;, &#x27;ANC_DEG&#x27;, &#x27;MSI_LOST&#x27;, &#x27;MSI_DEG&#x27;, &#x27;QT_DEFECTIVE_PIXELS&#x27;, &#x27;QT_NODATA_PIXELS&#x27;, &#x27;QT_PARTIALLY_CORRECTED_PIXELS&#x27;, &#x27;QT_SATURATED_PIXELS_L1A&#x27;]</dd><dt><span>long_name :</span></dt><dd>quality mask provided in the final reference frame (ground geometry)</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 5190240.0, 609780.0, 5300040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32632</dd><dt><span>proj:shape :</span></dt><dd>[10980, 10980]</dd><dt><span>proj:transform :</span></dt><dd>[10.0, 0.0, 499980.0, 0.0, -10.0, 5300040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 32N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,9],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32632&quot;]]</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b03</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1830, 1830), meta=np.ndarray&gt;</div><input id='attrs-068fad8c-3aa1-495b-9064-8f23730537d7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-068fad8c-3aa1-495b-9064-8f23730537d7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ffcf0d3f-1ebc-4c74-bbfc-409d62fe4d7b' class='xr-var-data-in' type='checkbox'><label for='data-ffcf0d3f-1ebc-4c74-bbfc-409d62fe4d7b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;dtype&#x27;: &#x27;&lt;u1&#x27;, &#x27;flag_masks&#x27;: [1, 2, 4, 8, 16, 32, 64, 128], &#x27;flag_meanings&#x27;: [&#x27;ANC_LOST&#x27;, &#x27;ANC_DEG&#x27;, &#x27;MSI_LOST&#x27;, &#x27;MSI_DEG&#x27;, &#x27;QT_DEFECTIVE_PIXELS&#x27;, &#x27;QT_NODATA_PIXELS&#x27;, &#x27;QT_PARTIALLY_CORRECTED_PIXELS&#x27;, &#x27;QT_SATURATED_PIXELS_L1A&#x27;], &#x27;long_name&#x27;: &#x27;quality mask provided in the final reference frame (ground geometry)&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u1</dd><dt><span>flag_masks :</span></dt><dd>[1, 2, 4, 8, 16, 32, 64, 128]</dd><dt><span>flag_meanings :</span></dt><dd>[&#x27;ANC_LOST&#x27;, &#x27;ANC_DEG&#x27;, &#x27;MSI_LOST&#x27;, &#x27;MSI_DEG&#x27;, &#x27;QT_DEFECTIVE_PIXELS&#x27;, &#x27;QT_NODATA_PIXELS&#x27;, &#x27;QT_PARTIALLY_CORRECTED_PIXELS&#x27;, &#x27;QT_SATURATED_PIXELS_L1A&#x27;]</dd><dt><span>long_name :</span></dt><dd>quality mask provided in the final reference frame (ground geometry)</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 7890240.0, 609780.0, 8000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32625</dd><dt><span>proj:shape :</span></dt><dd>[10980, 10980]</dd><dt><span>proj:transform :</span></dt><dd>[10.0, 0.0, 499980.0, 0.0, -10.0, 8000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 25N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,-33],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32625&quot;]]</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -38936,7 +37946,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b04</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1830, 1830), meta=np.ndarray&gt;</div><input id='attrs-a9003dab-ff56-449a-84b9-6088b109bc00' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a9003dab-ff56-449a-84b9-6088b109bc00' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-69fc7e2d-0e1c-47a4-983b-8cc7de6e30f1' class='xr-var-data-in' type='checkbox'><label for='data-69fc7e2d-0e1c-47a4-983b-8cc7de6e30f1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;flag_masks&#x27;: [1, 2, 4, 8, 16, 32, 64, 128], &#x27;flag_meanings&#x27;: [&#x27;ANC_LOST&#x27;, &#x27;ANC_DEG&#x27;, &#x27;MSI_LOST&#x27;, &#x27;MSI_DEG&#x27;, &#x27;QT_DEFECTIVE_PIXELS&#x27;, &#x27;QT_NODATA_PIXELS&#x27;, &#x27;QT_PARTIALLY_CORRECTED_PIXELS&#x27;, &#x27;QT_SATURATED_PIXELS_L1A&#x27;]}</dd><dt><span>dtype :</span></dt><dd>&lt;u1</dd><dt><span>flag_masks :</span></dt><dd>[1, 2, 4, 8, 16, 32, 64, 128]</dd><dt><span>flag_meanings :</span></dt><dd>[&#x27;ANC_LOST&#x27;, &#x27;ANC_DEG&#x27;, &#x27;MSI_LOST&#x27;, &#x27;MSI_DEG&#x27;, &#x27;QT_DEFECTIVE_PIXELS&#x27;, &#x27;QT_NODATA_PIXELS&#x27;, &#x27;QT_PARTIALLY_CORRECTED_PIXELS&#x27;, &#x27;QT_SATURATED_PIXELS_L1A&#x27;]</dd><dt><span>long_name :</span></dt><dd>quality mask provided in the final reference frame (ground geometry)</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 5190240.0, 609780.0, 5300040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32632</dd><dt><span>proj:shape :</span></dt><dd>[10980, 10980]</dd><dt><span>proj:transform :</span></dt><dd>[10.0, 0.0, 499980.0, 0.0, -10.0, 5300040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 32N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,9],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32632&quot;]]</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b04</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1830, 1830), meta=np.ndarray&gt;</div><input id='attrs-89e77d77-237c-4de9-84bb-8586be0c6ffa' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-89e77d77-237c-4de9-84bb-8586be0c6ffa' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8280d8b7-28cb-465f-b95c-d0ec670b91c8' class='xr-var-data-in' type='checkbox'><label for='data-8280d8b7-28cb-465f-b95c-d0ec670b91c8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;dtype&#x27;: &#x27;&lt;u1&#x27;, &#x27;flag_masks&#x27;: [1, 2, 4, 8, 16, 32, 64, 128], &#x27;flag_meanings&#x27;: [&#x27;ANC_LOST&#x27;, &#x27;ANC_DEG&#x27;, &#x27;MSI_LOST&#x27;, &#x27;MSI_DEG&#x27;, &#x27;QT_DEFECTIVE_PIXELS&#x27;, &#x27;QT_NODATA_PIXELS&#x27;, &#x27;QT_PARTIALLY_CORRECTED_PIXELS&#x27;, &#x27;QT_SATURATED_PIXELS_L1A&#x27;], &#x27;long_name&#x27;: &#x27;quality mask provided in the final reference frame (ground geometry)&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u1</dd><dt><span>flag_masks :</span></dt><dd>[1, 2, 4, 8, 16, 32, 64, 128]</dd><dt><span>flag_meanings :</span></dt><dd>[&#x27;ANC_LOST&#x27;, &#x27;ANC_DEG&#x27;, &#x27;MSI_LOST&#x27;, &#x27;MSI_DEG&#x27;, &#x27;QT_DEFECTIVE_PIXELS&#x27;, &#x27;QT_NODATA_PIXELS&#x27;, &#x27;QT_PARTIALLY_CORRECTED_PIXELS&#x27;, &#x27;QT_SATURATED_PIXELS_L1A&#x27;]</dd><dt><span>long_name :</span></dt><dd>quality mask provided in the final reference frame (ground geometry)</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 7890240.0, 609780.0, 8000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32625</dd><dt><span>proj:shape :</span></dt><dd>[10980, 10980]</dd><dt><span>proj:transform :</span></dt><dd>[10.0, 0.0, 499980.0, 0.0, -10.0, 8000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 25N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,-33],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32625&quot;]]</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -39001,7 +38011,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b08</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1830, 1830), meta=np.ndarray&gt;</div><input id='attrs-f22a432d-c1cd-44c8-beda-0fba7a098e45' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f22a432d-c1cd-44c8-beda-0fba7a098e45' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-71ee2333-2b08-4300-9d4b-6ca7edcd389c' class='xr-var-data-in' type='checkbox'><label for='data-71ee2333-2b08-4300-9d4b-6ca7edcd389c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;flag_masks&#x27;: [1, 2, 4, 8, 16, 32, 64, 128], &#x27;flag_meanings&#x27;: [&#x27;ANC_LOST&#x27;, &#x27;ANC_DEG&#x27;, &#x27;MSI_LOST&#x27;, &#x27;MSI_DEG&#x27;, &#x27;QT_DEFECTIVE_PIXELS&#x27;, &#x27;QT_NODATA_PIXELS&#x27;, &#x27;QT_PARTIALLY_CORRECTED_PIXELS&#x27;, &#x27;QT_SATURATED_PIXELS_L1A&#x27;]}</dd><dt><span>dtype :</span></dt><dd>&lt;u1</dd><dt><span>flag_masks :</span></dt><dd>[1, 2, 4, 8, 16, 32, 64, 128]</dd><dt><span>flag_meanings :</span></dt><dd>[&#x27;ANC_LOST&#x27;, &#x27;ANC_DEG&#x27;, &#x27;MSI_LOST&#x27;, &#x27;MSI_DEG&#x27;, &#x27;QT_DEFECTIVE_PIXELS&#x27;, &#x27;QT_NODATA_PIXELS&#x27;, &#x27;QT_PARTIALLY_CORRECTED_PIXELS&#x27;, &#x27;QT_SATURATED_PIXELS_L1A&#x27;]</dd><dt><span>long_name :</span></dt><dd>quality mask provided in the final reference frame (ground geometry)</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 5190240.0, 609780.0, 5300040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32632</dd><dt><span>proj:shape :</span></dt><dd>[10980, 10980]</dd><dt><span>proj:transform :</span></dt><dd>[10.0, 0.0, 499980.0, 0.0, -10.0, 5300040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 32N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,9],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32632&quot;]]</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b08</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1830, 1830), meta=np.ndarray&gt;</div><input id='attrs-8145cae7-6f12-4ba4-9970-f4c042927e9f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8145cae7-6f12-4ba4-9970-f4c042927e9f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6f98b7e0-451b-4080-b3b8-bd215ca6f319' class='xr-var-data-in' type='checkbox'><label for='data-6f98b7e0-451b-4080-b3b8-bd215ca6f319' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;dtype&#x27;: &#x27;&lt;u1&#x27;, &#x27;flag_masks&#x27;: [1, 2, 4, 8, 16, 32, 64, 128], &#x27;flag_meanings&#x27;: [&#x27;ANC_LOST&#x27;, &#x27;ANC_DEG&#x27;, &#x27;MSI_LOST&#x27;, &#x27;MSI_DEG&#x27;, &#x27;QT_DEFECTIVE_PIXELS&#x27;, &#x27;QT_NODATA_PIXELS&#x27;, &#x27;QT_PARTIALLY_CORRECTED_PIXELS&#x27;, &#x27;QT_SATURATED_PIXELS_L1A&#x27;], &#x27;long_name&#x27;: &#x27;quality mask provided in the final reference frame (ground geometry)&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u1</dd><dt><span>flag_masks :</span></dt><dd>[1, 2, 4, 8, 16, 32, 64, 128]</dd><dt><span>flag_meanings :</span></dt><dd>[&#x27;ANC_LOST&#x27;, &#x27;ANC_DEG&#x27;, &#x27;MSI_LOST&#x27;, &#x27;MSI_DEG&#x27;, &#x27;QT_DEFECTIVE_PIXELS&#x27;, &#x27;QT_NODATA_PIXELS&#x27;, &#x27;QT_PARTIALLY_CORRECTED_PIXELS&#x27;, &#x27;QT_SATURATED_PIXELS_L1A&#x27;]</dd><dt><span>long_name :</span></dt><dd>quality mask provided in the final reference frame (ground geometry)</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 7890240.0, 609780.0, 8000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32625</dd><dt><span>proj:shape :</span></dt><dd>[10980, 10980]</dd><dt><span>proj:transform :</span></dt><dd>[10.0, 0.0, 499980.0, 0.0, -10.0, 8000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 25N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,-33],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32625&quot;]]</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -39066,7 +38076,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-a4863d43-7a3b-4614-ae55-dbf6396397de' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-a4863d43-7a3b-4614-ae55-dbf6396397de' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div><div style='display: inline-grid; grid-template-columns: 0px 20px auto; width: 100%;'><div style='grid-column-start: 1;border-right: 0.2em solid;border-color: var(--xr-border-color);height: 100%;width: 0px;'></div><div style='grid-column-start: 2;grid-row-start: 1;height: 1em;width: 20px;border-bottom: 0.2em solid;border-color: var(--xr-border-color);'></div><div style='grid-column-start: 3;'><div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
+       "</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-891299aa-f685-44f4-b321-abd833b1df45' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-891299aa-f685-44f4-b321-abd833b1df45' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div><div style='display: inline-grid; grid-template-columns: 0px 20px auto; width: 100%;'><div style='grid-column-start: 1;border-right: 0.2em solid;border-color: var(--xr-border-color);height: 100%;width: 0px;'></div><div style='grid-column-start: 2;grid-row-start: 1;height: 1em;width: 20px;border-bottom: 0.2em solid;border-color: var(--xr-border-color);'></div><div style='grid-column-start: 3;'><div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
        "<defs>\n",
        "<symbol id=\"icon-database\" viewBox=\"0 0 32 32\">\n",
        "<path d=\"M16 0c-8.837 0-16 2.239-16 5v4c0 2.761 7.163 5 16 5s16-2.239 16-5v-4c0-2.761-7.163-5-16-5z\"></path>\n",
@@ -39440,14 +38450,15 @@
        "Dimensions:  (y: 5490, x: 5490)\n",
        "Coordinates:\n",
        "  * x        (x) int64 44kB 499990 500010 500030 500050 ... 609730 609750 609770\n",
-       "  * y        (y) int64 44kB 5300030 5300010 5299990 ... 5190290 5190270 5190250\n",
+       "  * y        (y) int64 44kB 8000030 8000010 7999990 ... 7890290 7890270 7890250\n",
        "Data variables:\n",
        "    b05      (y, x) uint8 30MB dask.array&lt;chunksize=(915, 915), meta=np.ndarray&gt;\n",
        "    b06      (y, x) uint8 30MB dask.array&lt;chunksize=(915, 915), meta=np.ndarray&gt;\n",
        "    b07      (y, x) uint8 30MB dask.array&lt;chunksize=(915, 915), meta=np.ndarray&gt;\n",
        "    b11      (y, x) uint8 30MB dask.array&lt;chunksize=(915, 915), meta=np.ndarray&gt;\n",
        "    b12      (y, x) uint8 30MB dask.array&lt;chunksize=(915, 915), meta=np.ndarray&gt;\n",
-       "    b8a      (y, x) uint8 30MB dask.array&lt;chunksize=(915, 915), meta=np.ndarray&gt;</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>r20m</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-cd4e15c9-9a41-4d27-ab2f-6b798982ae34' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-cd4e15c9-9a41-4d27-ab2f-6b798982ae34' class='xr-section-summary'  title='Expand/collapse section'>Groups: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><div style='display: inline-grid; grid-template-columns: 100%; grid-column: 1 / -1'></div></div></li><li class='xr-section-item'><input id='section-3a743eed-452b-44db-a632-05603cd0f2be' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-3a743eed-452b-44db-a632-05603cd0f2be' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>y</span>: 5490</li><li><span class='xr-has-index'>x</span>: 5490</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-6ecd0c4b-7a3a-4906-9c14-b3c57486c28a' class='xr-section-summary-in' type='checkbox'  checked><label for='section-6ecd0c4b-7a3a-4906-9c14-b3c57486c28a' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>499990 500010 ... 609750 609770</div><input id='attrs-4858afe2-0a18-4c91-9056-922033be4355' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-4858afe2-0a18-4c91-9056-922033be4355' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-368ad14b-bcca-42c7-a5f2-13e461954c4b' class='xr-var-data-in' type='checkbox'><label for='data-368ad14b-bcca-42c7-a5f2-13e461954c4b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([499990, 500010, 500030, ..., 609730, 609750, 609770])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>5300030 5300010 ... 5190270 5190250</div><input id='attrs-fdfe1a79-13c3-4bec-92ee-db9f863a244a' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-fdfe1a79-13c3-4bec-92ee-db9f863a244a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-742b48ac-06b7-45a1-9be5-8f11b0681ca9' class='xr-var-data-in' type='checkbox'><label for='data-742b48ac-06b7-45a1-9be5-8f11b0681ca9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([5300030, 5300010, 5299990, ..., 5190290, 5190270, 5190250])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-3a1fcd57-a0f0-451c-b46c-56257604d64f' class='xr-section-summary-in' type='checkbox'  checked><label for='section-3a1fcd57-a0f0-451c-b46c-56257604d64f' class='xr-section-summary' >Data variables: <span>(6)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>b05</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(915, 915), meta=np.ndarray&gt;</div><input id='attrs-5fc463cd-cc1b-4284-929a-17279913c444' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5fc463cd-cc1b-4284-929a-17279913c444' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b1fb8f90-c4ed-4574-976f-39cd58b71e28' class='xr-var-data-in' type='checkbox'><label for='data-b1fb8f90-c4ed-4574-976f-39cd58b71e28' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;flag_masks&#x27;: [1, 2, 4, 8, 16, 32, 64, 128], &#x27;flag_meanings&#x27;: [&#x27;ANC_LOST&#x27;, &#x27;ANC_DEG&#x27;, &#x27;MSI_LOST&#x27;, &#x27;MSI_DEG&#x27;, &#x27;QT_DEFECTIVE_PIXELS&#x27;, &#x27;QT_NODATA_PIXELS&#x27;, &#x27;QT_PARTIALLY_CORRECTED_PIXELS&#x27;, &#x27;QT_SATURATED_PIXELS_L1A&#x27;]}</dd><dt><span>dtype :</span></dt><dd>&lt;u1</dd><dt><span>flag_masks :</span></dt><dd>[1, 2, 4, 8, 16, 32, 64, 128]</dd><dt><span>flag_meanings :</span></dt><dd>[&#x27;ANC_LOST&#x27;, &#x27;ANC_DEG&#x27;, &#x27;MSI_LOST&#x27;, &#x27;MSI_DEG&#x27;, &#x27;QT_DEFECTIVE_PIXELS&#x27;, &#x27;QT_NODATA_PIXELS&#x27;, &#x27;QT_PARTIALLY_CORRECTED_PIXELS&#x27;, &#x27;QT_SATURATED_PIXELS_L1A&#x27;]</dd><dt><span>long_name :</span></dt><dd>quality mask provided in the final reference frame (ground geometry)</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 5190240.0, 609780.0, 5300040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32632</dd><dt><span>proj:shape :</span></dt><dd>[5490, 5490]</dd><dt><span>proj:transform :</span></dt><dd>[20.0, 0.0, 499980.0, 0.0, -20.0, 5300040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 32N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,9],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32632&quot;]]</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    b8a      (y, x) uint8 30MB dask.array&lt;chunksize=(915, 915), meta=np.ndarray&gt;</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>r20m</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-2c94c1a2-e0c3-4420-b4a1-75b3be6f0ef7' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-2c94c1a2-e0c3-4420-b4a1-75b3be6f0ef7' class='xr-section-summary'  title='Expand/collapse section'>Groups: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><div style='display: inline-grid; grid-template-columns: 100%; grid-column: 1 / -1'></div></div></li><li class='xr-section-item'><input id='section-38ec28d2-ffb8-4064-8cbe-025819494234' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-38ec28d2-ffb8-4064-8cbe-025819494234' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>y</span>: 5490</li><li><span class='xr-has-index'>x</span>: 5490</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-b728c16b-67cb-4d27-bc10-180adc5c9655' class='xr-section-summary-in' type='checkbox'  checked><label for='section-b728c16b-67cb-4d27-bc10-180adc5c9655' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>499990 500010 ... 609750 609770</div><input id='attrs-0883dd56-3fe1-4ce2-bfe9-1c196ff6ab86' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-0883dd56-3fe1-4ce2-bfe9-1c196ff6ab86' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c4b2fc13-c1d8-488f-87ab-995c6607d816' class='xr-var-data-in' type='checkbox'><label for='data-c4b2fc13-c1d8-488f-87ab-995c6607d816' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([499990, 500010, 500030, ..., 609730, 609750, 609770], shape=(5490,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>8000030 8000010 ... 7890270 7890250</div><input id='attrs-8252aec1-e8d6-42b0-8b88-fb5d60c8c388' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-8252aec1-e8d6-42b0-8b88-fb5d60c8c388' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-329bd2a8-39f4-4203-bfc0-d831fa7a3efa' class='xr-var-data-in' type='checkbox'><label for='data-329bd2a8-39f4-4203-bfc0-d831fa7a3efa' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([8000030, 8000010, 7999990, ..., 7890290, 7890270, 7890250],\n",
+       "      shape=(5490,))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-fc65f53e-eae0-480a-b24e-79d206a2d82a' class='xr-section-summary-in' type='checkbox'  checked><label for='section-fc65f53e-eae0-480a-b24e-79d206a2d82a' class='xr-section-summary' >Data variables: <span>(6)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>b05</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(915, 915), meta=np.ndarray&gt;</div><input id='attrs-2b58f1c2-44bd-4e5d-9768-3381c1ade22b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2b58f1c2-44bd-4e5d-9768-3381c1ade22b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b4de2fb6-cc6d-4253-bec7-30a93376ef57' class='xr-var-data-in' type='checkbox'><label for='data-b4de2fb6-cc6d-4253-bec7-30a93376ef57' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;dtype&#x27;: &#x27;&lt;u1&#x27;, &#x27;flag_masks&#x27;: [1, 2, 4, 8, 16, 32, 64, 128], &#x27;flag_meanings&#x27;: [&#x27;ANC_LOST&#x27;, &#x27;ANC_DEG&#x27;, &#x27;MSI_LOST&#x27;, &#x27;MSI_DEG&#x27;, &#x27;QT_DEFECTIVE_PIXELS&#x27;, &#x27;QT_NODATA_PIXELS&#x27;, &#x27;QT_PARTIALLY_CORRECTED_PIXELS&#x27;, &#x27;QT_SATURATED_PIXELS_L1A&#x27;], &#x27;long_name&#x27;: &#x27;quality mask provided in the final reference frame (ground geometry)&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u1</dd><dt><span>flag_masks :</span></dt><dd>[1, 2, 4, 8, 16, 32, 64, 128]</dd><dt><span>flag_meanings :</span></dt><dd>[&#x27;ANC_LOST&#x27;, &#x27;ANC_DEG&#x27;, &#x27;MSI_LOST&#x27;, &#x27;MSI_DEG&#x27;, &#x27;QT_DEFECTIVE_PIXELS&#x27;, &#x27;QT_NODATA_PIXELS&#x27;, &#x27;QT_PARTIALLY_CORRECTED_PIXELS&#x27;, &#x27;QT_SATURATED_PIXELS_L1A&#x27;]</dd><dt><span>long_name :</span></dt><dd>quality mask provided in the final reference frame (ground geometry)</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 7890240.0, 609780.0, 8000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32625</dd><dt><span>proj:shape :</span></dt><dd>[5490, 5490]</dd><dt><span>proj:transform :</span></dt><dd>[20.0, 0.0, 499980.0, 0.0, -20.0, 8000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 25N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,-33],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32625&quot;]]</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -39512,7 +38523,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b06</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(915, 915), meta=np.ndarray&gt;</div><input id='attrs-fdde30d6-5ded-46c1-9fc1-49ccb45ad34f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fdde30d6-5ded-46c1-9fc1-49ccb45ad34f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cb70cec9-9d35-47c0-8f99-39831823f9de' class='xr-var-data-in' type='checkbox'><label for='data-cb70cec9-9d35-47c0-8f99-39831823f9de' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;flag_masks&#x27;: [1, 2, 4, 8, 16, 32, 64, 128], &#x27;flag_meanings&#x27;: [&#x27;ANC_LOST&#x27;, &#x27;ANC_DEG&#x27;, &#x27;MSI_LOST&#x27;, &#x27;MSI_DEG&#x27;, &#x27;QT_DEFECTIVE_PIXELS&#x27;, &#x27;QT_NODATA_PIXELS&#x27;, &#x27;QT_PARTIALLY_CORRECTED_PIXELS&#x27;, &#x27;QT_SATURATED_PIXELS_L1A&#x27;]}</dd><dt><span>dtype :</span></dt><dd>&lt;u1</dd><dt><span>flag_masks :</span></dt><dd>[1, 2, 4, 8, 16, 32, 64, 128]</dd><dt><span>flag_meanings :</span></dt><dd>[&#x27;ANC_LOST&#x27;, &#x27;ANC_DEG&#x27;, &#x27;MSI_LOST&#x27;, &#x27;MSI_DEG&#x27;, &#x27;QT_DEFECTIVE_PIXELS&#x27;, &#x27;QT_NODATA_PIXELS&#x27;, &#x27;QT_PARTIALLY_CORRECTED_PIXELS&#x27;, &#x27;QT_SATURATED_PIXELS_L1A&#x27;]</dd><dt><span>long_name :</span></dt><dd>quality mask provided in the final reference frame (ground geometry)</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 5190240.0, 609780.0, 5300040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32632</dd><dt><span>proj:shape :</span></dt><dd>[5490, 5490]</dd><dt><span>proj:transform :</span></dt><dd>[20.0, 0.0, 499980.0, 0.0, -20.0, 5300040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 32N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,9],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32632&quot;]]</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b06</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(915, 915), meta=np.ndarray&gt;</div><input id='attrs-7b22e300-f8bd-4160-b492-f9714873ccc8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7b22e300-f8bd-4160-b492-f9714873ccc8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a49c38ed-7b56-46b0-9c4f-775ec784a881' class='xr-var-data-in' type='checkbox'><label for='data-a49c38ed-7b56-46b0-9c4f-775ec784a881' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;dtype&#x27;: &#x27;&lt;u1&#x27;, &#x27;flag_masks&#x27;: [1, 2, 4, 8, 16, 32, 64, 128], &#x27;flag_meanings&#x27;: [&#x27;ANC_LOST&#x27;, &#x27;ANC_DEG&#x27;, &#x27;MSI_LOST&#x27;, &#x27;MSI_DEG&#x27;, &#x27;QT_DEFECTIVE_PIXELS&#x27;, &#x27;QT_NODATA_PIXELS&#x27;, &#x27;QT_PARTIALLY_CORRECTED_PIXELS&#x27;, &#x27;QT_SATURATED_PIXELS_L1A&#x27;], &#x27;long_name&#x27;: &#x27;quality mask provided in the final reference frame (ground geometry)&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u1</dd><dt><span>flag_masks :</span></dt><dd>[1, 2, 4, 8, 16, 32, 64, 128]</dd><dt><span>flag_meanings :</span></dt><dd>[&#x27;ANC_LOST&#x27;, &#x27;ANC_DEG&#x27;, &#x27;MSI_LOST&#x27;, &#x27;MSI_DEG&#x27;, &#x27;QT_DEFECTIVE_PIXELS&#x27;, &#x27;QT_NODATA_PIXELS&#x27;, &#x27;QT_PARTIALLY_CORRECTED_PIXELS&#x27;, &#x27;QT_SATURATED_PIXELS_L1A&#x27;]</dd><dt><span>long_name :</span></dt><dd>quality mask provided in the final reference frame (ground geometry)</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 7890240.0, 609780.0, 8000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32625</dd><dt><span>proj:shape :</span></dt><dd>[5490, 5490]</dd><dt><span>proj:transform :</span></dt><dd>[20.0, 0.0, 499980.0, 0.0, -20.0, 8000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 25N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,-33],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32625&quot;]]</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -39577,7 +38588,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b07</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(915, 915), meta=np.ndarray&gt;</div><input id='attrs-b468a99c-0c22-4e71-a67f-e5e3c50a7759' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b468a99c-0c22-4e71-a67f-e5e3c50a7759' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7e6b5c5b-57c1-4203-91dd-96096500a631' class='xr-var-data-in' type='checkbox'><label for='data-7e6b5c5b-57c1-4203-91dd-96096500a631' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;flag_masks&#x27;: [1, 2, 4, 8, 16, 32, 64, 128], &#x27;flag_meanings&#x27;: [&#x27;ANC_LOST&#x27;, &#x27;ANC_DEG&#x27;, &#x27;MSI_LOST&#x27;, &#x27;MSI_DEG&#x27;, &#x27;QT_DEFECTIVE_PIXELS&#x27;, &#x27;QT_NODATA_PIXELS&#x27;, &#x27;QT_PARTIALLY_CORRECTED_PIXELS&#x27;, &#x27;QT_SATURATED_PIXELS_L1A&#x27;]}</dd><dt><span>dtype :</span></dt><dd>&lt;u1</dd><dt><span>flag_masks :</span></dt><dd>[1, 2, 4, 8, 16, 32, 64, 128]</dd><dt><span>flag_meanings :</span></dt><dd>[&#x27;ANC_LOST&#x27;, &#x27;ANC_DEG&#x27;, &#x27;MSI_LOST&#x27;, &#x27;MSI_DEG&#x27;, &#x27;QT_DEFECTIVE_PIXELS&#x27;, &#x27;QT_NODATA_PIXELS&#x27;, &#x27;QT_PARTIALLY_CORRECTED_PIXELS&#x27;, &#x27;QT_SATURATED_PIXELS_L1A&#x27;]</dd><dt><span>long_name :</span></dt><dd>quality mask provided in the final reference frame (ground geometry)</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 5190240.0, 609780.0, 5300040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32632</dd><dt><span>proj:shape :</span></dt><dd>[5490, 5490]</dd><dt><span>proj:transform :</span></dt><dd>[20.0, 0.0, 499980.0, 0.0, -20.0, 5300040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 32N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,9],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32632&quot;]]</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b07</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(915, 915), meta=np.ndarray&gt;</div><input id='attrs-9e0b930a-2569-47a9-adfd-4d4c78db8dde' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9e0b930a-2569-47a9-adfd-4d4c78db8dde' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-62ecc160-c632-40d3-a4ab-27903b72e37a' class='xr-var-data-in' type='checkbox'><label for='data-62ecc160-c632-40d3-a4ab-27903b72e37a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;dtype&#x27;: &#x27;&lt;u1&#x27;, &#x27;flag_masks&#x27;: [1, 2, 4, 8, 16, 32, 64, 128], &#x27;flag_meanings&#x27;: [&#x27;ANC_LOST&#x27;, &#x27;ANC_DEG&#x27;, &#x27;MSI_LOST&#x27;, &#x27;MSI_DEG&#x27;, &#x27;QT_DEFECTIVE_PIXELS&#x27;, &#x27;QT_NODATA_PIXELS&#x27;, &#x27;QT_PARTIALLY_CORRECTED_PIXELS&#x27;, &#x27;QT_SATURATED_PIXELS_L1A&#x27;], &#x27;long_name&#x27;: &#x27;quality mask provided in the final reference frame (ground geometry)&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u1</dd><dt><span>flag_masks :</span></dt><dd>[1, 2, 4, 8, 16, 32, 64, 128]</dd><dt><span>flag_meanings :</span></dt><dd>[&#x27;ANC_LOST&#x27;, &#x27;ANC_DEG&#x27;, &#x27;MSI_LOST&#x27;, &#x27;MSI_DEG&#x27;, &#x27;QT_DEFECTIVE_PIXELS&#x27;, &#x27;QT_NODATA_PIXELS&#x27;, &#x27;QT_PARTIALLY_CORRECTED_PIXELS&#x27;, &#x27;QT_SATURATED_PIXELS_L1A&#x27;]</dd><dt><span>long_name :</span></dt><dd>quality mask provided in the final reference frame (ground geometry)</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 7890240.0, 609780.0, 8000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32625</dd><dt><span>proj:shape :</span></dt><dd>[5490, 5490]</dd><dt><span>proj:transform :</span></dt><dd>[20.0, 0.0, 499980.0, 0.0, -20.0, 8000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 25N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,-33],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32625&quot;]]</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -39642,7 +38653,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b11</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(915, 915), meta=np.ndarray&gt;</div><input id='attrs-7afeef3c-0372-4c7e-963d-40031ee3a810' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7afeef3c-0372-4c7e-963d-40031ee3a810' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4fc95dcc-13c4-4448-a0e4-debb2c8f08e9' class='xr-var-data-in' type='checkbox'><label for='data-4fc95dcc-13c4-4448-a0e4-debb2c8f08e9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;flag_masks&#x27;: [1, 2, 4, 8, 16, 32, 64, 128], &#x27;flag_meanings&#x27;: [&#x27;ANC_LOST&#x27;, &#x27;ANC_DEG&#x27;, &#x27;MSI_LOST&#x27;, &#x27;MSI_DEG&#x27;, &#x27;QT_DEFECTIVE_PIXELS&#x27;, &#x27;QT_NODATA_PIXELS&#x27;, &#x27;QT_PARTIALLY_CORRECTED_PIXELS&#x27;, &#x27;QT_SATURATED_PIXELS_L1A&#x27;]}</dd><dt><span>dtype :</span></dt><dd>&lt;u1</dd><dt><span>flag_masks :</span></dt><dd>[1, 2, 4, 8, 16, 32, 64, 128]</dd><dt><span>flag_meanings :</span></dt><dd>[&#x27;ANC_LOST&#x27;, &#x27;ANC_DEG&#x27;, &#x27;MSI_LOST&#x27;, &#x27;MSI_DEG&#x27;, &#x27;QT_DEFECTIVE_PIXELS&#x27;, &#x27;QT_NODATA_PIXELS&#x27;, &#x27;QT_PARTIALLY_CORRECTED_PIXELS&#x27;, &#x27;QT_SATURATED_PIXELS_L1A&#x27;]</dd><dt><span>long_name :</span></dt><dd>quality mask provided in the final reference frame (ground geometry)</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 5190240.0, 609780.0, 5300040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32632</dd><dt><span>proj:shape :</span></dt><dd>[5490, 5490]</dd><dt><span>proj:transform :</span></dt><dd>[20.0, 0.0, 499980.0, 0.0, -20.0, 5300040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 32N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,9],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32632&quot;]]</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b11</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(915, 915), meta=np.ndarray&gt;</div><input id='attrs-1723e8fe-0331-4a04-acb7-1e531f030cbf' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1723e8fe-0331-4a04-acb7-1e531f030cbf' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c587816b-5184-4727-a932-5250696ca793' class='xr-var-data-in' type='checkbox'><label for='data-c587816b-5184-4727-a932-5250696ca793' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;dtype&#x27;: &#x27;&lt;u1&#x27;, &#x27;flag_masks&#x27;: [1, 2, 4, 8, 16, 32, 64, 128], &#x27;flag_meanings&#x27;: [&#x27;ANC_LOST&#x27;, &#x27;ANC_DEG&#x27;, &#x27;MSI_LOST&#x27;, &#x27;MSI_DEG&#x27;, &#x27;QT_DEFECTIVE_PIXELS&#x27;, &#x27;QT_NODATA_PIXELS&#x27;, &#x27;QT_PARTIALLY_CORRECTED_PIXELS&#x27;, &#x27;QT_SATURATED_PIXELS_L1A&#x27;], &#x27;long_name&#x27;: &#x27;quality mask provided in the final reference frame (ground geometry)&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u1</dd><dt><span>flag_masks :</span></dt><dd>[1, 2, 4, 8, 16, 32, 64, 128]</dd><dt><span>flag_meanings :</span></dt><dd>[&#x27;ANC_LOST&#x27;, &#x27;ANC_DEG&#x27;, &#x27;MSI_LOST&#x27;, &#x27;MSI_DEG&#x27;, &#x27;QT_DEFECTIVE_PIXELS&#x27;, &#x27;QT_NODATA_PIXELS&#x27;, &#x27;QT_PARTIALLY_CORRECTED_PIXELS&#x27;, &#x27;QT_SATURATED_PIXELS_L1A&#x27;]</dd><dt><span>long_name :</span></dt><dd>quality mask provided in the final reference frame (ground geometry)</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 7890240.0, 609780.0, 8000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32625</dd><dt><span>proj:shape :</span></dt><dd>[5490, 5490]</dd><dt><span>proj:transform :</span></dt><dd>[20.0, 0.0, 499980.0, 0.0, -20.0, 8000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 25N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,-33],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32625&quot;]]</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -39707,7 +38718,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b12</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(915, 915), meta=np.ndarray&gt;</div><input id='attrs-34b0ad5d-e2ee-4d67-b6c8-de20c4412000' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-34b0ad5d-e2ee-4d67-b6c8-de20c4412000' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-178f4dff-9fa8-4ef8-8b2c-ffe60e9a1744' class='xr-var-data-in' type='checkbox'><label for='data-178f4dff-9fa8-4ef8-8b2c-ffe60e9a1744' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;flag_masks&#x27;: [1, 2, 4, 8, 16, 32, 64, 128], &#x27;flag_meanings&#x27;: [&#x27;ANC_LOST&#x27;, &#x27;ANC_DEG&#x27;, &#x27;MSI_LOST&#x27;, &#x27;MSI_DEG&#x27;, &#x27;QT_DEFECTIVE_PIXELS&#x27;, &#x27;QT_NODATA_PIXELS&#x27;, &#x27;QT_PARTIALLY_CORRECTED_PIXELS&#x27;, &#x27;QT_SATURATED_PIXELS_L1A&#x27;]}</dd><dt><span>dtype :</span></dt><dd>&lt;u1</dd><dt><span>flag_masks :</span></dt><dd>[1, 2, 4, 8, 16, 32, 64, 128]</dd><dt><span>flag_meanings :</span></dt><dd>[&#x27;ANC_LOST&#x27;, &#x27;ANC_DEG&#x27;, &#x27;MSI_LOST&#x27;, &#x27;MSI_DEG&#x27;, &#x27;QT_DEFECTIVE_PIXELS&#x27;, &#x27;QT_NODATA_PIXELS&#x27;, &#x27;QT_PARTIALLY_CORRECTED_PIXELS&#x27;, &#x27;QT_SATURATED_PIXELS_L1A&#x27;]</dd><dt><span>long_name :</span></dt><dd>quality mask provided in the final reference frame (ground geometry)</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 5190240.0, 609780.0, 5300040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32632</dd><dt><span>proj:shape :</span></dt><dd>[5490, 5490]</dd><dt><span>proj:transform :</span></dt><dd>[20.0, 0.0, 499980.0, 0.0, -20.0, 5300040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 32N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,9],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32632&quot;]]</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b12</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(915, 915), meta=np.ndarray&gt;</div><input id='attrs-9e2443a9-4858-4b87-9d0d-28a6efd67f81' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9e2443a9-4858-4b87-9d0d-28a6efd67f81' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b3a62ae4-5991-4bbb-8672-4d0e1ede25f0' class='xr-var-data-in' type='checkbox'><label for='data-b3a62ae4-5991-4bbb-8672-4d0e1ede25f0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;dtype&#x27;: &#x27;&lt;u1&#x27;, &#x27;flag_masks&#x27;: [1, 2, 4, 8, 16, 32, 64, 128], &#x27;flag_meanings&#x27;: [&#x27;ANC_LOST&#x27;, &#x27;ANC_DEG&#x27;, &#x27;MSI_LOST&#x27;, &#x27;MSI_DEG&#x27;, &#x27;QT_DEFECTIVE_PIXELS&#x27;, &#x27;QT_NODATA_PIXELS&#x27;, &#x27;QT_PARTIALLY_CORRECTED_PIXELS&#x27;, &#x27;QT_SATURATED_PIXELS_L1A&#x27;], &#x27;long_name&#x27;: &#x27;quality mask provided in the final reference frame (ground geometry)&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u1</dd><dt><span>flag_masks :</span></dt><dd>[1, 2, 4, 8, 16, 32, 64, 128]</dd><dt><span>flag_meanings :</span></dt><dd>[&#x27;ANC_LOST&#x27;, &#x27;ANC_DEG&#x27;, &#x27;MSI_LOST&#x27;, &#x27;MSI_DEG&#x27;, &#x27;QT_DEFECTIVE_PIXELS&#x27;, &#x27;QT_NODATA_PIXELS&#x27;, &#x27;QT_PARTIALLY_CORRECTED_PIXELS&#x27;, &#x27;QT_SATURATED_PIXELS_L1A&#x27;]</dd><dt><span>long_name :</span></dt><dd>quality mask provided in the final reference frame (ground geometry)</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 7890240.0, 609780.0, 8000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32625</dd><dt><span>proj:shape :</span></dt><dd>[5490, 5490]</dd><dt><span>proj:transform :</span></dt><dd>[20.0, 0.0, 499980.0, 0.0, -20.0, 8000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 25N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,-33],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32625&quot;]]</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -39772,7 +38783,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b8a</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(915, 915), meta=np.ndarray&gt;</div><input id='attrs-88473136-782d-445d-9363-2e5d776bca59' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-88473136-782d-445d-9363-2e5d776bca59' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fdc73e67-4581-40c5-be21-d6283d9589a3' class='xr-var-data-in' type='checkbox'><label for='data-fdc73e67-4581-40c5-be21-d6283d9589a3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;flag_masks&#x27;: [1, 2, 4, 8, 16, 32, 64, 128], &#x27;flag_meanings&#x27;: [&#x27;ANC_LOST&#x27;, &#x27;ANC_DEG&#x27;, &#x27;MSI_LOST&#x27;, &#x27;MSI_DEG&#x27;, &#x27;QT_DEFECTIVE_PIXELS&#x27;, &#x27;QT_NODATA_PIXELS&#x27;, &#x27;QT_PARTIALLY_CORRECTED_PIXELS&#x27;, &#x27;QT_SATURATED_PIXELS_L1A&#x27;]}</dd><dt><span>dtype :</span></dt><dd>&lt;u1</dd><dt><span>flag_masks :</span></dt><dd>[1, 2, 4, 8, 16, 32, 64, 128]</dd><dt><span>flag_meanings :</span></dt><dd>[&#x27;ANC_LOST&#x27;, &#x27;ANC_DEG&#x27;, &#x27;MSI_LOST&#x27;, &#x27;MSI_DEG&#x27;, &#x27;QT_DEFECTIVE_PIXELS&#x27;, &#x27;QT_NODATA_PIXELS&#x27;, &#x27;QT_PARTIALLY_CORRECTED_PIXELS&#x27;, &#x27;QT_SATURATED_PIXELS_L1A&#x27;]</dd><dt><span>long_name :</span></dt><dd>quality mask provided in the final reference frame (ground geometry)</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 5190240.0, 609780.0, 5300040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32632</dd><dt><span>proj:shape :</span></dt><dd>[5490, 5490]</dd><dt><span>proj:transform :</span></dt><dd>[20.0, 0.0, 499980.0, 0.0, -20.0, 5300040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 32N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,9],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32632&quot;]]</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b8a</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(915, 915), meta=np.ndarray&gt;</div><input id='attrs-eda1045a-b1b9-4f5b-91f8-1dcc31226f08' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-eda1045a-b1b9-4f5b-91f8-1dcc31226f08' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-59f58320-cc2b-44de-8c88-63ab52925bca' class='xr-var-data-in' type='checkbox'><label for='data-59f58320-cc2b-44de-8c88-63ab52925bca' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;dtype&#x27;: &#x27;&lt;u1&#x27;, &#x27;flag_masks&#x27;: [1, 2, 4, 8, 16, 32, 64, 128], &#x27;flag_meanings&#x27;: [&#x27;ANC_LOST&#x27;, &#x27;ANC_DEG&#x27;, &#x27;MSI_LOST&#x27;, &#x27;MSI_DEG&#x27;, &#x27;QT_DEFECTIVE_PIXELS&#x27;, &#x27;QT_NODATA_PIXELS&#x27;, &#x27;QT_PARTIALLY_CORRECTED_PIXELS&#x27;, &#x27;QT_SATURATED_PIXELS_L1A&#x27;], &#x27;long_name&#x27;: &#x27;quality mask provided in the final reference frame (ground geometry)&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u1</dd><dt><span>flag_masks :</span></dt><dd>[1, 2, 4, 8, 16, 32, 64, 128]</dd><dt><span>flag_meanings :</span></dt><dd>[&#x27;ANC_LOST&#x27;, &#x27;ANC_DEG&#x27;, &#x27;MSI_LOST&#x27;, &#x27;MSI_DEG&#x27;, &#x27;QT_DEFECTIVE_PIXELS&#x27;, &#x27;QT_NODATA_PIXELS&#x27;, &#x27;QT_PARTIALLY_CORRECTED_PIXELS&#x27;, &#x27;QT_SATURATED_PIXELS_L1A&#x27;]</dd><dt><span>long_name :</span></dt><dd>quality mask provided in the final reference frame (ground geometry)</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 7890240.0, 609780.0, 8000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32625</dd><dt><span>proj:shape :</span></dt><dd>[5490, 5490]</dd><dt><span>proj:transform :</span></dt><dd>[20.0, 0.0, 499980.0, 0.0, -20.0, 8000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 25N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,-33],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32625&quot;]]</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -39837,7 +38848,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-c0f4e2c2-d3d4-4679-be0f-079b3e11bb5b' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-c0f4e2c2-d3d4-4679-be0f-079b3e11bb5b' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div><div style='display: inline-grid; grid-template-columns: 0px 20px auto; width: 100%;'><div style='grid-column-start: 1;border-right: 0.2em solid;border-color: var(--xr-border-color);height: 1.2em;width: 0px;'></div><div style='grid-column-start: 2;grid-row-start: 1;height: 1em;width: 20px;border-bottom: 0.2em solid;border-color: var(--xr-border-color);'></div><div style='grid-column-start: 3;'><div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
+       "</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-e4821385-8176-427d-9412-a388d11cdf04' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-e4821385-8176-427d-9412-a388d11cdf04' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div><div style='display: inline-grid; grid-template-columns: 0px 20px auto; width: 100%;'><div style='grid-column-start: 1;border-right: 0.2em solid;border-color: var(--xr-border-color);height: 1.2em;width: 0px;'></div><div style='grid-column-start: 2;grid-row-start: 1;height: 1em;width: 20px;border-bottom: 0.2em solid;border-color: var(--xr-border-color);'></div><div style='grid-column-start: 3;'><div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
        "<defs>\n",
        "<symbol id=\"icon-database\" viewBox=\"0 0 32 32\">\n",
        "<path d=\"M16 0c-8.837 0-16 2.239-16 5v4c0 2.761 7.163 5 16 5s16-2.239 16-5v-4c0-2.761-7.163-5-16-5z\"></path>\n",
@@ -40211,11 +39222,12 @@
        "Dimensions:  (y: 1830, x: 1830)\n",
        "Coordinates:\n",
        "  * x        (x) int64 15kB 500010 500070 500130 500190 ... 609630 609690 609750\n",
-       "  * y        (y) int64 15kB 5300010 5299950 5299890 ... 5190390 5190330 5190270\n",
+       "  * y        (y) int64 15kB 8000010 7999950 7999890 ... 7890390 7890330 7890270\n",
        "Data variables:\n",
        "    b01      (y, x) uint8 3MB dask.array&lt;chunksize=(305, 305), meta=np.ndarray&gt;\n",
        "    b09      (y, x) uint8 3MB dask.array&lt;chunksize=(305, 305), meta=np.ndarray&gt;\n",
-       "    b10      (y, x) uint8 3MB dask.array&lt;chunksize=(305, 305), meta=np.ndarray&gt;</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>r60m</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-22ebed2d-c956-43c6-bf83-489447ae7156' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-22ebed2d-c956-43c6-bf83-489447ae7156' class='xr-section-summary'  title='Expand/collapse section'>Groups: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><div style='display: inline-grid; grid-template-columns: 100%; grid-column: 1 / -1'></div></div></li><li class='xr-section-item'><input id='section-65624238-6cf6-4529-96e1-714b2a1125a6' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-65624238-6cf6-4529-96e1-714b2a1125a6' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>y</span>: 1830</li><li><span class='xr-has-index'>x</span>: 1830</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-ee61f95c-4066-4285-a860-b8a6410d4d43' class='xr-section-summary-in' type='checkbox'  checked><label for='section-ee61f95c-4066-4285-a860-b8a6410d4d43' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>500010 500070 ... 609690 609750</div><input id='attrs-12df4817-c98a-4610-ab12-d7b3cf4442c2' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-12df4817-c98a-4610-ab12-d7b3cf4442c2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5c65bd07-9b30-417d-8f4f-dd1d20de37e8' class='xr-var-data-in' type='checkbox'><label for='data-5c65bd07-9b30-417d-8f4f-dd1d20de37e8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([500010, 500070, 500130, ..., 609630, 609690, 609750])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>5300010 5299950 ... 5190330 5190270</div><input id='attrs-4a1c7773-6fc9-4bd3-8cf5-d0359558b7c5' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-4a1c7773-6fc9-4bd3-8cf5-d0359558b7c5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b7e0c63a-bf9a-4368-91c5-4497cb992e77' class='xr-var-data-in' type='checkbox'><label for='data-b7e0c63a-bf9a-4368-91c5-4497cb992e77' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([5300010, 5299950, 5299890, ..., 5190390, 5190330, 5190270])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-b52b8496-fd72-40d4-a955-d485095612a2' class='xr-section-summary-in' type='checkbox'  checked><label for='section-b52b8496-fd72-40d4-a955-d485095612a2' class='xr-section-summary' >Data variables: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>b01</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(305, 305), meta=np.ndarray&gt;</div><input id='attrs-69b7de3d-9f68-4c80-80d4-8f8a0ab88771' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-69b7de3d-9f68-4c80-80d4-8f8a0ab88771' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e08d6a01-1c14-455c-bc94-1e048879d57a' class='xr-var-data-in' type='checkbox'><label for='data-e08d6a01-1c14-455c-bc94-1e048879d57a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;flag_masks&#x27;: [1, 2, 4, 8, 16, 32, 64, 128], &#x27;flag_meanings&#x27;: [&#x27;ANC_LOST&#x27;, &#x27;ANC_DEG&#x27;, &#x27;MSI_LOST&#x27;, &#x27;MSI_DEG&#x27;, &#x27;QT_DEFECTIVE_PIXELS&#x27;, &#x27;QT_NODATA_PIXELS&#x27;, &#x27;QT_PARTIALLY_CORRECTED_PIXELS&#x27;, &#x27;QT_SATURATED_PIXELS_L1A&#x27;]}</dd><dt><span>dtype :</span></dt><dd>&lt;u1</dd><dt><span>flag_masks :</span></dt><dd>[1, 2, 4, 8, 16, 32, 64, 128]</dd><dt><span>flag_meanings :</span></dt><dd>[&#x27;ANC_LOST&#x27;, &#x27;ANC_DEG&#x27;, &#x27;MSI_LOST&#x27;, &#x27;MSI_DEG&#x27;, &#x27;QT_DEFECTIVE_PIXELS&#x27;, &#x27;QT_NODATA_PIXELS&#x27;, &#x27;QT_PARTIALLY_CORRECTED_PIXELS&#x27;, &#x27;QT_SATURATED_PIXELS_L1A&#x27;]</dd><dt><span>long_name :</span></dt><dd>quality mask provided in the final reference frame (ground geometry)</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 5190240.0, 609780.0, 5300040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32632</dd><dt><span>proj:shape :</span></dt><dd>[1830, 1830]</dd><dt><span>proj:transform :</span></dt><dd>[60.0, 0.0, 499980.0, 0.0, -60.0, 5300040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 32N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,9],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32632&quot;]]</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    b10      (y, x) uint8 3MB dask.array&lt;chunksize=(305, 305), meta=np.ndarray&gt;</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>r60m</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-baf856f8-358b-4c76-b966-acfe26c687ab' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-baf856f8-358b-4c76-b966-acfe26c687ab' class='xr-section-summary'  title='Expand/collapse section'>Groups: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><div style='display: inline-grid; grid-template-columns: 100%; grid-column: 1 / -1'></div></div></li><li class='xr-section-item'><input id='section-1489d392-7796-4f93-b20e-1b96fafcf289' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-1489d392-7796-4f93-b20e-1b96fafcf289' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>y</span>: 1830</li><li><span class='xr-has-index'>x</span>: 1830</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-2596bae2-2ca8-4563-9c7f-7f30745d729f' class='xr-section-summary-in' type='checkbox'  checked><label for='section-2596bae2-2ca8-4563-9c7f-7f30745d729f' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>500010 500070 ... 609690 609750</div><input id='attrs-4bc278fc-8cfa-42e8-ad43-3f332a2e867c' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-4bc278fc-8cfa-42e8-ad43-3f332a2e867c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a277f9b6-b7c9-46be-9f0d-43b2230d533a' class='xr-var-data-in' type='checkbox'><label for='data-a277f9b6-b7c9-46be-9f0d-43b2230d533a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([500010, 500070, 500130, ..., 609630, 609690, 609750], shape=(1830,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>8000010 7999950 ... 7890330 7890270</div><input id='attrs-d5c511f0-55a2-4c51-a0eb-b0fdc8cd4941' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-d5c511f0-55a2-4c51-a0eb-b0fdc8cd4941' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0fbcf249-f933-4b04-8ab4-d72f72984437' class='xr-var-data-in' type='checkbox'><label for='data-0fbcf249-f933-4b04-8ab4-d72f72984437' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([8000010, 7999950, 7999890, ..., 7890390, 7890330, 7890270],\n",
+       "      shape=(1830,))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-3f97d271-71ff-4c23-ad16-908d7fadd5f0' class='xr-section-summary-in' type='checkbox'  checked><label for='section-3f97d271-71ff-4c23-ad16-908d7fadd5f0' class='xr-section-summary' >Data variables: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>b01</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(305, 305), meta=np.ndarray&gt;</div><input id='attrs-538db467-d017-4e62-a897-6b99508a4941' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-538db467-d017-4e62-a897-6b99508a4941' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-be4b5aac-a345-4762-bfc4-e192d63779da' class='xr-var-data-in' type='checkbox'><label for='data-be4b5aac-a345-4762-bfc4-e192d63779da' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;dtype&#x27;: &#x27;&lt;u1&#x27;, &#x27;flag_masks&#x27;: [1, 2, 4, 8, 16, 32, 64, 128], &#x27;flag_meanings&#x27;: [&#x27;ANC_LOST&#x27;, &#x27;ANC_DEG&#x27;, &#x27;MSI_LOST&#x27;, &#x27;MSI_DEG&#x27;, &#x27;QT_DEFECTIVE_PIXELS&#x27;, &#x27;QT_NODATA_PIXELS&#x27;, &#x27;QT_PARTIALLY_CORRECTED_PIXELS&#x27;, &#x27;QT_SATURATED_PIXELS_L1A&#x27;], &#x27;long_name&#x27;: &#x27;quality mask provided in the final reference frame (ground geometry)&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u1</dd><dt><span>flag_masks :</span></dt><dd>[1, 2, 4, 8, 16, 32, 64, 128]</dd><dt><span>flag_meanings :</span></dt><dd>[&#x27;ANC_LOST&#x27;, &#x27;ANC_DEG&#x27;, &#x27;MSI_LOST&#x27;, &#x27;MSI_DEG&#x27;, &#x27;QT_DEFECTIVE_PIXELS&#x27;, &#x27;QT_NODATA_PIXELS&#x27;, &#x27;QT_PARTIALLY_CORRECTED_PIXELS&#x27;, &#x27;QT_SATURATED_PIXELS_L1A&#x27;]</dd><dt><span>long_name :</span></dt><dd>quality mask provided in the final reference frame (ground geometry)</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 7890240.0, 609780.0, 8000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32625</dd><dt><span>proj:shape :</span></dt><dd>[1830, 1830]</dd><dt><span>proj:transform :</span></dt><dd>[60.0, 0.0, 499980.0, 0.0, -60.0, 8000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 25N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,-33],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32625&quot;]]</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -40280,7 +39292,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b09</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(305, 305), meta=np.ndarray&gt;</div><input id='attrs-3bc04d59-b43d-4812-933f-bd74b4a2d35d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3bc04d59-b43d-4812-933f-bd74b4a2d35d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d568d82a-a556-47a3-9ff6-ae850264a879' class='xr-var-data-in' type='checkbox'><label for='data-d568d82a-a556-47a3-9ff6-ae850264a879' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;flag_masks&#x27;: [1, 2, 4, 8, 16, 32, 64, 128], &#x27;flag_meanings&#x27;: [&#x27;ANC_LOST&#x27;, &#x27;ANC_DEG&#x27;, &#x27;MSI_LOST&#x27;, &#x27;MSI_DEG&#x27;, &#x27;QT_DEFECTIVE_PIXELS&#x27;, &#x27;QT_NODATA_PIXELS&#x27;, &#x27;QT_PARTIALLY_CORRECTED_PIXELS&#x27;, &#x27;QT_SATURATED_PIXELS_L1A&#x27;]}</dd><dt><span>dtype :</span></dt><dd>&lt;u1</dd><dt><span>flag_masks :</span></dt><dd>[1, 2, 4, 8, 16, 32, 64, 128]</dd><dt><span>flag_meanings :</span></dt><dd>[&#x27;ANC_LOST&#x27;, &#x27;ANC_DEG&#x27;, &#x27;MSI_LOST&#x27;, &#x27;MSI_DEG&#x27;, &#x27;QT_DEFECTIVE_PIXELS&#x27;, &#x27;QT_NODATA_PIXELS&#x27;, &#x27;QT_PARTIALLY_CORRECTED_PIXELS&#x27;, &#x27;QT_SATURATED_PIXELS_L1A&#x27;]</dd><dt><span>long_name :</span></dt><dd>quality mask provided in the final reference frame (ground geometry)</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 5190240.0, 609780.0, 5300040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32632</dd><dt><span>proj:shape :</span></dt><dd>[1830, 1830]</dd><dt><span>proj:transform :</span></dt><dd>[60.0, 0.0, 499980.0, 0.0, -60.0, 5300040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 32N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,9],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32632&quot;]]</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b09</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(305, 305), meta=np.ndarray&gt;</div><input id='attrs-5bd5a6ca-817e-437b-a12a-5024738523df' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5bd5a6ca-817e-437b-a12a-5024738523df' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-62c57052-a9d4-4b00-ac9c-488ef903cb59' class='xr-var-data-in' type='checkbox'><label for='data-62c57052-a9d4-4b00-ac9c-488ef903cb59' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;dtype&#x27;: &#x27;&lt;u1&#x27;, &#x27;flag_masks&#x27;: [1, 2, 4, 8, 16, 32, 64, 128], &#x27;flag_meanings&#x27;: [&#x27;ANC_LOST&#x27;, &#x27;ANC_DEG&#x27;, &#x27;MSI_LOST&#x27;, &#x27;MSI_DEG&#x27;, &#x27;QT_DEFECTIVE_PIXELS&#x27;, &#x27;QT_NODATA_PIXELS&#x27;, &#x27;QT_PARTIALLY_CORRECTED_PIXELS&#x27;, &#x27;QT_SATURATED_PIXELS_L1A&#x27;], &#x27;long_name&#x27;: &#x27;quality mask provided in the final reference frame (ground geometry)&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u1</dd><dt><span>flag_masks :</span></dt><dd>[1, 2, 4, 8, 16, 32, 64, 128]</dd><dt><span>flag_meanings :</span></dt><dd>[&#x27;ANC_LOST&#x27;, &#x27;ANC_DEG&#x27;, &#x27;MSI_LOST&#x27;, &#x27;MSI_DEG&#x27;, &#x27;QT_DEFECTIVE_PIXELS&#x27;, &#x27;QT_NODATA_PIXELS&#x27;, &#x27;QT_PARTIALLY_CORRECTED_PIXELS&#x27;, &#x27;QT_SATURATED_PIXELS_L1A&#x27;]</dd><dt><span>long_name :</span></dt><dd>quality mask provided in the final reference frame (ground geometry)</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 7890240.0, 609780.0, 8000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32625</dd><dt><span>proj:shape :</span></dt><dd>[1830, 1830]</dd><dt><span>proj:transform :</span></dt><dd>[60.0, 0.0, 499980.0, 0.0, -60.0, 8000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 25N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,-33],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32625&quot;]]</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -40345,7 +39357,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b10</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(305, 305), meta=np.ndarray&gt;</div><input id='attrs-53433674-589b-4501-ad94-5210d96e302b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-53433674-589b-4501-ad94-5210d96e302b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-628acb40-a7c9-4e91-9844-c1bdc735fef8' class='xr-var-data-in' type='checkbox'><label for='data-628acb40-a7c9-4e91-9844-c1bdc735fef8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;flag_masks&#x27;: [1, 2, 4, 8, 16, 32, 64, 128], &#x27;flag_meanings&#x27;: [&#x27;ANC_LOST&#x27;, &#x27;ANC_DEG&#x27;, &#x27;MSI_LOST&#x27;, &#x27;MSI_DEG&#x27;, &#x27;QT_DEFECTIVE_PIXELS&#x27;, &#x27;QT_NODATA_PIXELS&#x27;, &#x27;QT_PARTIALLY_CORRECTED_PIXELS&#x27;, &#x27;QT_SATURATED_PIXELS_L1A&#x27;]}</dd><dt><span>dtype :</span></dt><dd>&lt;u1</dd><dt><span>flag_masks :</span></dt><dd>[1, 2, 4, 8, 16, 32, 64, 128]</dd><dt><span>flag_meanings :</span></dt><dd>[&#x27;ANC_LOST&#x27;, &#x27;ANC_DEG&#x27;, &#x27;MSI_LOST&#x27;, &#x27;MSI_DEG&#x27;, &#x27;QT_DEFECTIVE_PIXELS&#x27;, &#x27;QT_NODATA_PIXELS&#x27;, &#x27;QT_PARTIALLY_CORRECTED_PIXELS&#x27;, &#x27;QT_SATURATED_PIXELS_L1A&#x27;]</dd><dt><span>long_name :</span></dt><dd>quality mask provided in the final reference frame (ground geometry)</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 5190240.0, 609780.0, 5300040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32632</dd><dt><span>proj:shape :</span></dt><dd>[1830, 1830]</dd><dt><span>proj:transform :</span></dt><dd>[60.0, 0.0, 499980.0, 0.0, -60.0, 5300040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 32N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,9],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32632&quot;]]</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b10</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(305, 305), meta=np.ndarray&gt;</div><input id='attrs-2d01f49d-fc9f-49aa-a092-e7f6ba381ec9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2d01f49d-fc9f-49aa-a092-e7f6ba381ec9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-18a74be5-60f0-4fd3-8fc0-a8bfb7c17afa' class='xr-var-data-in' type='checkbox'><label for='data-18a74be5-60f0-4fd3-8fc0-a8bfb7c17afa' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;dtype&#x27;: &#x27;&lt;u1&#x27;, &#x27;flag_masks&#x27;: [1, 2, 4, 8, 16, 32, 64, 128], &#x27;flag_meanings&#x27;: [&#x27;ANC_LOST&#x27;, &#x27;ANC_DEG&#x27;, &#x27;MSI_LOST&#x27;, &#x27;MSI_DEG&#x27;, &#x27;QT_DEFECTIVE_PIXELS&#x27;, &#x27;QT_NODATA_PIXELS&#x27;, &#x27;QT_PARTIALLY_CORRECTED_PIXELS&#x27;, &#x27;QT_SATURATED_PIXELS_L1A&#x27;], &#x27;long_name&#x27;: &#x27;quality mask provided in the final reference frame (ground geometry)&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u1</dd><dt><span>flag_masks :</span></dt><dd>[1, 2, 4, 8, 16, 32, 64, 128]</dd><dt><span>flag_meanings :</span></dt><dd>[&#x27;ANC_LOST&#x27;, &#x27;ANC_DEG&#x27;, &#x27;MSI_LOST&#x27;, &#x27;MSI_DEG&#x27;, &#x27;QT_DEFECTIVE_PIXELS&#x27;, &#x27;QT_NODATA_PIXELS&#x27;, &#x27;QT_PARTIALLY_CORRECTED_PIXELS&#x27;, &#x27;QT_SATURATED_PIXELS_L1A&#x27;]</dd><dt><span>long_name :</span></dt><dd>quality mask provided in the final reference frame (ground geometry)</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 7890240.0, 609780.0, 8000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32625</dd><dt><span>proj:shape :</span></dt><dd>[1830, 1830]</dd><dt><span>proj:transform :</span></dt><dd>[60.0, 0.0, 499980.0, 0.0, -60.0, 8000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 25N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,-33],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32625&quot;]]</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -40392,398 +39404,25 @@
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        "\n",
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-       "</svg>\n",
-       "        </td>\n",
-       "    </tr>\n",
-       "</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-8b557e55-4d7a-40e9-89a6-50301d5f5cc5' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-8b557e55-4d7a-40e9-89a6-50301d5f5cc5' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div></div></div></li><li class='xr-section-item'><input id='section-80de2d28-4506-457a-8b09-39e781a93dfd' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-80de2d28-4506-457a-8b09-39e781a93dfd' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-dab66e28-0d04-46f1-9c07-c79b5c0e3453' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-dab66e28-0d04-46f1-9c07-c79b5c0e3453' class='xr-section-summary'  title='Expand/collapse section'>Coordinates: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-c341a443-9cf6-4498-a83d-70cbd82a1792' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-c341a443-9cf6-4498-a83d-70cbd82a1792' class='xr-section-summary'  title='Expand/collapse section'>Data variables: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-a3da8348-d740-46b9-96f2-9028fef24d94' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-a3da8348-d740-46b9-96f2-9028fef24d94' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div><div style='display: inline-grid; grid-template-columns: 0px 20px auto; width: 100%;'><div style='grid-column-start: 1;border-right: 0.2em solid;border-color: var(--xr-border-color);height: 1.2em;width: 0px;'></div><div style='grid-column-start: 2;grid-row-start: 1;height: 1em;width: 20px;border-bottom: 0.2em solid;border-color: var(--xr-border-color);'></div><div style='grid-column-start: 3;'><div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
-       "<defs>\n",
-       "<symbol id=\"icon-database\" viewBox=\"0 0 32 32\">\n",
-       "<path d=\"M16 0c-8.837 0-16 2.239-16 5v4c0 2.761 7.163 5 16 5s16-2.239 16-5v-4c0-2.761-7.163-5-16-5z\"></path>\n",
-       "<path d=\"M16 17c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
-       "<path d=\"M16 26c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
-       "</symbol>\n",
-       "<symbol id=\"icon-file-text2\" viewBox=\"0 0 32 32\">\n",
-       "<path d=\"M28.681 7.159c-0.694-0.947-1.662-2.053-2.724-3.116s-2.169-2.030-3.116-2.724c-1.612-1.182-2.393-1.319-2.841-1.319h-15.5c-1.378 0-2.5 1.121-2.5 2.5v27c0 1.378 1.122 2.5 2.5 2.5h23c1.378 0 2.5-1.122 2.5-2.5v-19.5c0-0.448-0.137-1.23-1.319-2.841zM24.543 5.457c0.959 0.959 1.712 1.825 2.268 2.543h-4.811v-4.811c0.718 0.556 1.584 1.309 2.543 2.268zM28 29.5c0 0.271-0.229 0.5-0.5 0.5h-23c-0.271 0-0.5-0.229-0.5-0.5v-27c0-0.271 0.229-0.5 0.5-0.5 0 0 15.499-0 15.5 0v7c0 0.552 0.448 1 1 1h7v19.5z\"></path>\n",
-       "<path d=\"M23 26h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
-       "<path d=\"M23 22h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
-       "<path d=\"M23 18h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
-       "</symbol>\n",
-       "</defs>\n",
-       "</svg>\n",
-       "<style>/* CSS stylesheet for displaying xarray objects in jupyterlab.\n",
-       " *\n",
-       " */\n",
-       "\n",
-       ":root {\n",
-       "  --xr-font-color0: var(--jp-content-font-color0, rgba(0, 0, 0, 1));\n",
-       "  --xr-font-color2: var(--jp-content-font-color2, rgba(0, 0, 0, 0.54));\n",
-       "  --xr-font-color3: var(--jp-content-font-color3, rgba(0, 0, 0, 0.38));\n",
-       "  --xr-border-color: var(--jp-border-color2, #e0e0e0);\n",
-       "  --xr-disabled-color: var(--jp-layout-color3, #bdbdbd);\n",
-       "  --xr-background-color: var(--jp-layout-color0, white);\n",
-       "  --xr-background-color-row-even: var(--jp-layout-color1, white);\n",
-       "  --xr-background-color-row-odd: var(--jp-layout-color2, #eeeeee);\n",
-       "}\n",
-       "\n",
-       "html[theme=\"dark\"],\n",
-       "html[data-theme=\"dark\"],\n",
-       "body[data-theme=\"dark\"],\n",
-       "body.vscode-dark {\n",
-       "  --xr-font-color0: rgba(255, 255, 255, 1);\n",
-       "  --xr-font-color2: rgba(255, 255, 255, 0.54);\n",
-       "  --xr-font-color3: rgba(255, 255, 255, 0.38);\n",
-       "  --xr-border-color: #1f1f1f;\n",
-       "  --xr-disabled-color: #515151;\n",
-       "  --xr-background-color: #111111;\n",
-       "  --xr-background-color-row-even: #111111;\n",
-       "  --xr-background-color-row-odd: #313131;\n",
-       "}\n",
-       "\n",
-       ".xr-wrap {\n",
-       "  display: block !important;\n",
-       "  min-width: 300px;\n",
-       "  max-width: 700px;\n",
-       "}\n",
-       "\n",
-       ".xr-text-repr-fallback {\n",
-       "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
-       "  display: none;\n",
-       "}\n",
-       "\n",
-       ".xr-header {\n",
-       "  padding-top: 6px;\n",
-       "  padding-bottom: 6px;\n",
-       "  margin-bottom: 4px;\n",
-       "  border-bottom: solid 1px var(--xr-border-color);\n",
-       "}\n",
-       "\n",
-       ".xr-header > div,\n",
-       ".xr-header > ul {\n",
-       "  display: inline;\n",
-       "  margin-top: 0;\n",
-       "  margin-bottom: 0;\n",
-       "}\n",
-       "\n",
-       ".xr-obj-type,\n",
-       ".xr-array-name {\n",
-       "  margin-left: 2px;\n",
-       "  margin-right: 10px;\n",
-       "}\n",
-       "\n",
-       ".xr-obj-type {\n",
-       "  color: var(--xr-font-color2);\n",
-       "}\n",
-       "\n",
-       ".xr-sections {\n",
-       "  padding-left: 0 !important;\n",
-       "  display: grid;\n",
-       "  grid-template-columns: 150px auto auto 1fr 0 20px 0 20px;\n",
-       "}\n",
-       "\n",
-       ".xr-section-item {\n",
-       "  display: contents;\n",
-       "}\n",
-       "\n",
-       ".xr-section-item input {\n",
-       "  display: inline-block;\n",
-       "  opacity: 0;\n",
-       "  height: 0;\n",
-       "}\n",
-       "\n",
-       ".xr-section-item input + label {\n",
-       "  color: var(--xr-disabled-color);\n",
-       "}\n",
-       "\n",
-       ".xr-section-item input:enabled + label {\n",
-       "  cursor: pointer;\n",
-       "  color: var(--xr-font-color2);\n",
-       "}\n",
-       "\n",
-       ".xr-section-item input:focus + label {\n",
-       "  border: 2px solid var(--xr-font-color0);\n",
-       "}\n",
-       "\n",
-       ".xr-section-item input:enabled + label:hover {\n",
-       "  color: var(--xr-font-color0);\n",
-       "}\n",
-       "\n",
-       ".xr-section-summary {\n",
-       "  grid-column: 1;\n",
-       "  color: var(--xr-font-color2);\n",
-       "  font-weight: 500;\n",
-       "}\n",
-       "\n",
-       ".xr-section-summary > span {\n",
-       "  display: inline-block;\n",
-       "  padding-left: 0.5em;\n",
-       "}\n",
-       "\n",
-       ".xr-section-summary-in:disabled + label {\n",
-       "  color: var(--xr-font-color2);\n",
-       "}\n",
-       "\n",
-       ".xr-section-summary-in + label:before {\n",
-       "  display: inline-block;\n",
-       "  content: \"►\";\n",
-       "  font-size: 11px;\n",
-       "  width: 15px;\n",
-       "  text-align: center;\n",
-       "}\n",
-       "\n",
-       ".xr-section-summary-in:disabled + label:before {\n",
-       "  color: var(--xr-disabled-color);\n",
-       "}\n",
-       "\n",
-       ".xr-section-summary-in:checked + label:before {\n",
-       "  content: \"▼\";\n",
-       "}\n",
-       "\n",
-       ".xr-section-summary-in:checked + label > span {\n",
-       "  display: none;\n",
-       "}\n",
-       "\n",
-       ".xr-section-summary,\n",
-       ".xr-section-inline-details {\n",
-       "  padding-top: 4px;\n",
-       "  padding-bottom: 4px;\n",
-       "}\n",
-       "\n",
-       ".xr-section-inline-details {\n",
-       "  grid-column: 2 / -1;\n",
-       "}\n",
-       "\n",
-       ".xr-section-details {\n",
-       "  display: none;\n",
-       "  grid-column: 1 / -1;\n",
-       "  margin-bottom: 5px;\n",
-       "}\n",
-       "\n",
-       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
-       "  display: contents;\n",
-       "}\n",
-       "\n",
-       ".xr-array-wrap {\n",
-       "  grid-column: 1 / -1;\n",
-       "  display: grid;\n",
-       "  grid-template-columns: 20px auto;\n",
-       "}\n",
-       "\n",
-       ".xr-array-wrap > label {\n",
-       "  grid-column: 1;\n",
-       "  vertical-align: top;\n",
-       "}\n",
-       "\n",
-       ".xr-preview {\n",
-       "  color: var(--xr-font-color3);\n",
-       "}\n",
-       "\n",
-       ".xr-array-preview,\n",
-       ".xr-array-data {\n",
-       "  padding: 0 5px !important;\n",
-       "  grid-column: 2;\n",
-       "}\n",
-       "\n",
-       ".xr-array-data,\n",
-       ".xr-array-in:checked ~ .xr-array-preview {\n",
-       "  display: none;\n",
-       "}\n",
-       "\n",
-       ".xr-array-in:checked ~ .xr-array-data,\n",
-       ".xr-array-preview {\n",
-       "  display: inline-block;\n",
-       "}\n",
-       "\n",
-       ".xr-dim-list {\n",
-       "  display: inline-block !important;\n",
-       "  list-style: none;\n",
-       "  padding: 0 !important;\n",
-       "  margin: 0;\n",
-       "}\n",
-       "\n",
-       ".xr-dim-list li {\n",
-       "  display: inline-block;\n",
-       "  padding: 0;\n",
-       "  margin: 0;\n",
-       "}\n",
-       "\n",
-       ".xr-dim-list:before {\n",
-       "  content: \"(\";\n",
-       "}\n",
-       "\n",
-       ".xr-dim-list:after {\n",
-       "  content: \")\";\n",
-       "}\n",
-       "\n",
-       ".xr-dim-list li:not(:last-child):after {\n",
-       "  content: \",\";\n",
-       "  padding-right: 5px;\n",
-       "}\n",
-       "\n",
-       ".xr-has-index {\n",
-       "  font-weight: bold;\n",
-       "}\n",
-       "\n",
-       ".xr-var-list,\n",
-       ".xr-var-item {\n",
-       "  display: contents;\n",
-       "}\n",
-       "\n",
-       ".xr-var-item > div,\n",
-       ".xr-var-item label,\n",
-       ".xr-var-item > .xr-var-name span {\n",
-       "  background-color: var(--xr-background-color-row-even);\n",
-       "  margin-bottom: 0;\n",
-       "}\n",
-       "\n",
-       ".xr-var-item > .xr-var-name:hover span {\n",
-       "  padding-right: 5px;\n",
-       "}\n",
-       "\n",
-       ".xr-var-list > li:nth-child(odd) > div,\n",
-       ".xr-var-list > li:nth-child(odd) > label,\n",
-       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
-       "  background-color: var(--xr-background-color-row-odd);\n",
-       "}\n",
-       "\n",
-       ".xr-var-name {\n",
-       "  grid-column: 1;\n",
-       "}\n",
-       "\n",
-       ".xr-var-dims {\n",
-       "  grid-column: 2;\n",
-       "}\n",
-       "\n",
-       ".xr-var-dtype {\n",
-       "  grid-column: 3;\n",
-       "  text-align: right;\n",
-       "  color: var(--xr-font-color2);\n",
-       "}\n",
-       "\n",
-       ".xr-var-preview {\n",
-       "  grid-column: 4;\n",
-       "}\n",
-       "\n",
-       ".xr-index-preview {\n",
-       "  grid-column: 2 / 5;\n",
-       "  color: var(--xr-font-color2);\n",
-       "}\n",
-       "\n",
-       ".xr-var-name,\n",
-       ".xr-var-dims,\n",
-       ".xr-var-dtype,\n",
-       ".xr-preview,\n",
-       ".xr-attrs dt {\n",
-       "  white-space: nowrap;\n",
-       "  overflow: hidden;\n",
-       "  text-overflow: ellipsis;\n",
-       "  padding-right: 10px;\n",
-       "}\n",
-       "\n",
-       ".xr-var-name:hover,\n",
-       ".xr-var-dims:hover,\n",
-       ".xr-var-dtype:hover,\n",
-       ".xr-attrs dt:hover {\n",
-       "  overflow: visible;\n",
-       "  width: auto;\n",
-       "  z-index: 1;\n",
-       "}\n",
-       "\n",
-       ".xr-var-attrs,\n",
-       ".xr-var-data,\n",
-       ".xr-index-data {\n",
-       "  display: none;\n",
-       "  background-color: var(--xr-background-color) !important;\n",
-       "  padding-bottom: 5px !important;\n",
-       "}\n",
-       "\n",
-       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
-       ".xr-var-data-in:checked ~ .xr-var-data,\n",
-       ".xr-index-data-in:checked ~ .xr-index-data {\n",
-       "  display: block;\n",
-       "}\n",
-       "\n",
-       ".xr-var-data > table {\n",
-       "  float: right;\n",
-       "}\n",
-       "\n",
-       ".xr-var-name span,\n",
-       ".xr-var-data,\n",
-       ".xr-index-name div,\n",
-       ".xr-index-data,\n",
-       ".xr-attrs {\n",
-       "  padding-left: 25px !important;\n",
-       "}\n",
-       "\n",
-       ".xr-attrs,\n",
-       ".xr-var-attrs,\n",
-       ".xr-var-data,\n",
-       ".xr-index-data {\n",
-       "  grid-column: 1 / -1;\n",
-       "}\n",
-       "\n",
-       "dl.xr-attrs {\n",
-       "  padding: 0;\n",
-       "  margin: 0;\n",
-       "  display: grid;\n",
-       "  grid-template-columns: 125px auto;\n",
-       "}\n",
-       "\n",
-       ".xr-attrs dt,\n",
-       ".xr-attrs dd {\n",
-       "  padding: 0;\n",
-       "  margin: 0;\n",
-       "  float: left;\n",
-       "  padding-right: 10px;\n",
-       "  width: auto;\n",
-       "}\n",
-       "\n",
-       ".xr-attrs dt {\n",
-       "  font-weight: normal;\n",
-       "  grid-column: 1;\n",
-       "}\n",
-       "\n",
-       ".xr-attrs dt:hover span {\n",
-       "  display: inline-block;\n",
-       "  background: var(--xr-background-color);\n",
-       "  padding-right: 10px;\n",
-       "}\n",
-       "\n",
-       ".xr-attrs dd {\n",
-       "  grid-column: 2;\n",
-       "  white-space: pre-wrap;\n",
-       "  word-break: break-all;\n",
-       "}\n",
+       "  <!-- Vertical lines -->\n",
+       "  <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"120\" style=\"stroke-width:2\" />\n",
+       "  <line x1=\"20\" y1=\"0\" x2=\"20\" y2=\"120\" />\n",
+       "  <line x1=\"40\" y1=\"0\" x2=\"40\" y2=\"120\" />\n",
+       "  <line x1=\"60\" y1=\"0\" x2=\"60\" y2=\"120\" />\n",
+       "  <line x1=\"80\" y1=\"0\" x2=\"80\" y2=\"120\" />\n",
+       "  <line x1=\"100\" y1=\"0\" x2=\"100\" y2=\"120\" />\n",
+       "  <line x1=\"120\" y1=\"0\" x2=\"120\" y2=\"120\" style=\"stroke-width:2\" />\n",
        "\n",
-       ".xr-icon-database,\n",
-       ".xr-icon-file-text2,\n",
-       ".xr-no-icon {\n",
-       "  display: inline-block;\n",
-       "  vertical-align: middle;\n",
-       "  width: 1em;\n",
-       "  height: 1.5em !important;\n",
-       "  stroke-width: 0;\n",
-       "  stroke: currentColor;\n",
-       "  fill: currentColor;\n",
-       "}\n",
-       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DatasetView&gt; Size: 0B\n",
-       "Dimensions:  ()\n",
-       "Data variables:\n",
-       "    *empty*</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>probability</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-10e25b03-5a92-42da-87ab-288e51470656' class='xr-section-summary-in' type='checkbox'  ><label for='section-10e25b03-5a92-42da-87ab-288e51470656' class='xr-section-summary' >Groups: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><div style='display: inline-grid; grid-template-columns: 100%; grid-column: 1 / -1'><div style='display: inline-grid; grid-template-columns: 0px 20px auto; width: 100%;'><div style='grid-column-start: 1;border-right: 0.2em solid;border-color: var(--xr-border-color);height: 1.2em;width: 0px;'></div><div style='grid-column-start: 2;grid-row-start: 1;height: 1em;width: 20px;border-bottom: 0.2em solid;border-color: var(--xr-border-color);'></div><div style='grid-column-start: 3;'><div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
+       "  <!-- Colored Rectangle -->\n",
+       "  <polygon points=\"0.0,0.0 120.0,0.0 120.0,120.0 0.0,120.0\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
+       "\n",
+       "  <!-- Text -->\n",
+       "  <text x=\"60.000000\" y=\"140.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >1830</text>\n",
+       "  <text x=\"140.000000\" y=\"60.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,140.000000,60.000000)\">1830</text>\n",
+       "</svg>\n",
+       "        </td>\n",
+       "    </tr>\n",
+       "</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-112f7422-3078-47b2-bd7e-a43fc0eef61d' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-112f7422-3078-47b2-bd7e-a43fc0eef61d' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div></div></div></li><li class='xr-section-item'><input id='section-b112c15d-7c0c-4c4d-98d9-4483bc564f3a' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-b112c15d-7c0c-4c4d-98d9-4483bc564f3a' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-e2c07d5a-5086-4143-bf3f-8efbc970de40' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-e2c07d5a-5086-4143-bf3f-8efbc970de40' class='xr-section-summary'  title='Expand/collapse section'>Coordinates: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-739bd5c4-a1ad-488e-900a-465f719f812b' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-739bd5c4-a1ad-488e-900a-465f719f812b' class='xr-section-summary'  title='Expand/collapse section'>Data variables: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-9000a704-8cbf-47be-894d-69bf910f0b43' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-9000a704-8cbf-47be-894d-69bf910f0b43' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div><div style='display: inline-grid; grid-template-columns: 0px 20px auto; width: 100%;'><div style='grid-column-start: 1;border-right: 0.2em solid;border-color: var(--xr-border-color);height: 1.2em;width: 0px;'></div><div style='grid-column-start: 2;grid-row-start: 1;height: 1em;width: 20px;border-bottom: 0.2em solid;border-color: var(--xr-border-color);'></div><div style='grid-column-start: 3;'><div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
        "<defs>\n",
        "<symbol id=\"icon-database\" viewBox=\"0 0 32 32\">\n",
        "<path d=\"M16 0c-8.837 0-16 2.239-16 5v4c0 2.761 7.163 5 16 5s16-2.239 16-5v-4c0-2.761-7.163-5-16-5z\"></path>\n",
@@ -41080,514 +39719,83 @@
        ".xr-var-data,\n",
        ".xr-index-data {\n",
        "  display: none;\n",
-       "  background-color: var(--xr-background-color) !important;\n",
-       "  padding-bottom: 5px !important;\n",
-       "}\n",
-       "\n",
-       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
-       ".xr-var-data-in:checked ~ .xr-var-data,\n",
-       ".xr-index-data-in:checked ~ .xr-index-data {\n",
-       "  display: block;\n",
-       "}\n",
-       "\n",
-       ".xr-var-data > table {\n",
-       "  float: right;\n",
-       "}\n",
-       "\n",
-       ".xr-var-name span,\n",
-       ".xr-var-data,\n",
-       ".xr-index-name div,\n",
-       ".xr-index-data,\n",
-       ".xr-attrs {\n",
-       "  padding-left: 25px !important;\n",
-       "}\n",
-       "\n",
-       ".xr-attrs,\n",
-       ".xr-var-attrs,\n",
-       ".xr-var-data,\n",
-       ".xr-index-data {\n",
-       "  grid-column: 1 / -1;\n",
-       "}\n",
-       "\n",
-       "dl.xr-attrs {\n",
-       "  padding: 0;\n",
-       "  margin: 0;\n",
-       "  display: grid;\n",
-       "  grid-template-columns: 125px auto;\n",
-       "}\n",
-       "\n",
-       ".xr-attrs dt,\n",
-       ".xr-attrs dd {\n",
-       "  padding: 0;\n",
-       "  margin: 0;\n",
-       "  float: left;\n",
-       "  padding-right: 10px;\n",
-       "  width: auto;\n",
-       "}\n",
-       "\n",
-       ".xr-attrs dt {\n",
-       "  font-weight: normal;\n",
-       "  grid-column: 1;\n",
-       "}\n",
-       "\n",
-       ".xr-attrs dt:hover span {\n",
-       "  display: inline-block;\n",
-       "  background: var(--xr-background-color);\n",
-       "  padding-right: 10px;\n",
-       "}\n",
-       "\n",
-       ".xr-attrs dd {\n",
-       "  grid-column: 2;\n",
-       "  white-space: pre-wrap;\n",
-       "  word-break: break-all;\n",
-       "}\n",
-       "\n",
-       ".xr-icon-database,\n",
-       ".xr-icon-file-text2,\n",
-       ".xr-no-icon {\n",
-       "  display: inline-block;\n",
-       "  vertical-align: middle;\n",
-       "  width: 1em;\n",
-       "  height: 1.5em !important;\n",
-       "  stroke-width: 0;\n",
-       "  stroke: currentColor;\n",
-       "  fill: currentColor;\n",
-       "}\n",
-       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DatasetView&gt; Size: 60MB\n",
-       "Dimensions:  (y: 5490, x: 5490)\n",
-       "Coordinates:\n",
-       "    band     int64 8B ...\n",
-       "  * x        (x) int64 44kB 499990 500010 500030 500050 ... 609730 609750 609770\n",
-       "  * y        (y) int64 44kB 5300030 5300010 5299990 ... 5190290 5190270 5190250\n",
-       "Data variables:\n",
-       "    cld      (y, x) uint8 30MB dask.array&lt;chunksize=(915, 915), meta=np.ndarray&gt;\n",
-       "    snw      (y, x) uint8 30MB dask.array&lt;chunksize=(915, 915), meta=np.ndarray&gt;</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>r20m</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-3594567b-2a3d-444f-aa4d-7ce9c06e19af' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-3594567b-2a3d-444f-aa4d-7ce9c06e19af' class='xr-section-summary'  title='Expand/collapse section'>Groups: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><div style='display: inline-grid; grid-template-columns: 100%; grid-column: 1 / -1'></div></div></li><li class='xr-section-item'><input id='section-a34e0bb0-d11a-47c9-a768-2361c8ef5e83' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-a34e0bb0-d11a-47c9-a768-2361c8ef5e83' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>y</span>: 5490</li><li><span class='xr-has-index'>x</span>: 5490</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-acf23318-2269-4d53-965d-74c53ecb2b09' class='xr-section-summary-in' type='checkbox'  checked><label for='section-acf23318-2269-4d53-965d-74c53ecb2b09' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>band</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-f3f721b2-fd53-4f6a-8a4a-c3ba801c2a62' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-f3f721b2-fd53-4f6a-8a4a-c3ba801c2a62' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f7ca4f9a-1b01-49d0-93ff-1ae4b4984e38' class='xr-var-data-in' type='checkbox'><label for='data-f7ca4f9a-1b01-49d0-93ff-1ae4b4984e38' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=int64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>499990 500010 ... 609750 609770</div><input id='attrs-1ab05b70-8902-48dc-85ed-dbebdc0966f1' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-1ab05b70-8902-48dc-85ed-dbebdc0966f1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a440a3bb-52ac-4849-b428-d14657b0b140' class='xr-var-data-in' type='checkbox'><label for='data-a440a3bb-52ac-4849-b428-d14657b0b140' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([499990, 500010, 500030, ..., 609730, 609750, 609770])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>5300030 5300010 ... 5190270 5190250</div><input id='attrs-4ea5bd71-9c3e-4381-8c64-580be731dd23' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-4ea5bd71-9c3e-4381-8c64-580be731dd23' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c805fd7f-e802-4e3c-8667-249345dac9aa' class='xr-var-data-in' type='checkbox'><label for='data-c805fd7f-e802-4e3c-8667-249345dac9aa' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([5300030, 5300010, 5299990, ..., 5190290, 5190270, 5190250])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-fa812ba0-88be-48c4-b0ff-c77c8b1cacb3' class='xr-section-summary-in' type='checkbox'  checked><label for='section-fa812ba0-88be-48c4-b0ff-c77c8b1cacb3' class='xr-section-summary' >Data variables: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>cld</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(915, 915), meta=np.ndarray&gt;</div><input id='attrs-85bd0b48-60fd-480c-974a-3bb3f05c771a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-85bd0b48-60fd-480c-974a-3bb3f05c771a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-63ef5ed0-830f-4b37-9ed8-3369e2f7973a' class='xr-var-data-in' type='checkbox'><label for='data-63ef5ed0-830f-4b37-9ed8-3369e2f7973a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;band&#x27;, &#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;]}</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 5190240.0, 609780.0, 5300040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32632</dd><dt><span>proj:shape :</span></dt><dd>[5490, 5490]</dd><dt><span>proj:transform :</span></dt><dd>[20.0, 0.0, 499980.0, 0.0, -20.0, 5300040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 32N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,9],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32632&quot;]]</dd></dl></div><div class='xr-var-data'><table>\n",
-       "    <tr>\n",
-       "        <td>\n",
-       "            <table style=\"border-collapse: collapse;\">\n",
-       "                <thead>\n",
-       "                    <tr>\n",
-       "                        <td> </td>\n",
-       "                        <th> Array </th>\n",
-       "                        <th> Chunk </th>\n",
-       "                    </tr>\n",
-       "                </thead>\n",
-       "                <tbody>\n",
-       "                    \n",
-       "                    <tr>\n",
-       "                        <th> Bytes </th>\n",
-       "                        <td> 28.74 MiB </td>\n",
-       "                        <td> 817.60 kiB </td>\n",
-       "                    </tr>\n",
-       "                    \n",
-       "                    <tr>\n",
-       "                        <th> Shape </th>\n",
-       "                        <td> (5490, 5490) </td>\n",
-       "                        <td> (915, 915) </td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th> Dask graph </th>\n",
-       "                        <td colspan=\"2\"> 36 chunks in 2 graph layers </td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th> Data type </th>\n",
-       "                        <td colspan=\"2\"> uint8 numpy.ndarray </td>\n",
-       "                    </tr>\n",
-       "                </tbody>\n",
-       "            </table>\n",
-       "        </td>\n",
-       "        <td>\n",
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-       "\n",
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-       "\n",
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-       "  <text x=\"60.000000\" y=\"140.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >5490</text>\n",
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-       "        </td>\n",
-       "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>snw</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(915, 915), meta=np.ndarray&gt;</div><input id='attrs-fa9b4fc0-6efd-4978-a902-70c7ed75fd70' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fa9b4fc0-6efd-4978-a902-70c7ed75fd70' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-70c758d8-9912-4cf2-a750-7c3787843a55' class='xr-var-data-in' type='checkbox'><label for='data-70c758d8-9912-4cf2-a750-7c3787843a55' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;band&#x27;, &#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;]}</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 5190240.0, 609780.0, 5300040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32632</dd><dt><span>proj:shape :</span></dt><dd>[5490, 5490]</dd><dt><span>proj:transform :</span></dt><dd>[20.0, 0.0, 499980.0, 0.0, -20.0, 5300040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 32N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,9],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32632&quot;]]</dd></dl></div><div class='xr-var-data'><table>\n",
-       "    <tr>\n",
-       "        <td>\n",
-       "            <table style=\"border-collapse: collapse;\">\n",
-       "                <thead>\n",
-       "                    <tr>\n",
-       "                        <td> </td>\n",
-       "                        <th> Array </th>\n",
-       "                        <th> Chunk </th>\n",
-       "                    </tr>\n",
-       "                </thead>\n",
-       "                <tbody>\n",
-       "                    \n",
-       "                    <tr>\n",
-       "                        <th> Bytes </th>\n",
-       "                        <td> 28.74 MiB </td>\n",
-       "                        <td> 817.60 kiB </td>\n",
-       "                    </tr>\n",
-       "                    \n",
-       "                    <tr>\n",
-       "                        <th> Shape </th>\n",
-       "                        <td> (5490, 5490) </td>\n",
-       "                        <td> (915, 915) </td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th> Dask graph </th>\n",
-       "                        <td colspan=\"2\"> 36 chunks in 2 graph layers </td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th> Data type </th>\n",
-       "                        <td colspan=\"2\"> uint8 numpy.ndarray </td>\n",
-       "                    </tr>\n",
-       "                </tbody>\n",
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-       "        </td>\n",
-       "        <td>\n",
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&#x27;used CAMS file names&#x27;: &#x27;S2__OPER_AUX_CAMSFO_ADG__20240101T000000_V20240101T000000_20240103T010000&#x27;, &#x27;used DEM file name&#x27;: &#x27;CopernicusDEM30&#x27;, &#x27;used ECMWF file names&#x27;: &#x27;S2__OPER_AUX_ECMWFD_ADG__20240101T000000_V20240101T090000_20240103T030000&#x27;, &#x27;used GRI file name&#x27;: &#x27;S2A_OPER_GRI_MSIL1B_MPC__20160521T184422_S20151114T103133,S2A_OPER_GRI_MSIL1B_MPC__20160531T210152_S20160512T102954,S2A_OPER_GRI_MSIL1B_MPC__20160907T095549_S20160422T103554,S2A_OPER_GRI_MSIL1B_MPC__20161018T120000_S20150826T102633&#x27;, &#x27;used IERS file name&#x27;: &#x27;S2__OPER_AUX_UT1UTC_PDMC_20231230T000000_V20231230T000000_20241229T000000&#x27;}, &#x27;organisation&#x27;: &#x27;ESA&#x27;, &#x27;output&#x27;: &#x27;S2MSIL1A_etc&#x27;, &#x27;processor&#x27;: &#x27;Sentinel-2 IPF&#x27;, &#x27;type&#x27;: &#x27;Level-1A Product&#x27;, &#x27;version&#x27;: &#x27;???&#x27;}, {&#x27;inputs&#x27;: {&#x27;Level-1A Product&#x27;: &#x27;S2MSIL1A_etc&#x27;, &#x27;list of used processing parameters file names&#x27;: &#x27;S2A_OPER_GIP_INVLOC_MPC__20171206T000000_V20150703T000000_21000101T000000_B00,S2A_OPER_GIP_LREXTR_MPC__20150605T094736_V20150622T000000_21000101T000000_B00,S2A_OPER_GIP_ATMIMA_MPC__20150605T094744_V20150622T000000_21000101T000000_B00,S2A_OPER_GIP_ATMSAD_MPC__20160729T000005_V20150703T000000_21000101T000000_B00,S2A_OPER_GIP_BLINDP_MPC__20150605T094736_V20150622T000000_21000101T000000_B00,S2A_OPER_GIP_CLOINV_MPC__20210609T000005_V20210823T030000_21000101T000000_B00,S2A_OPER_GIP_CLOPAR_MPC__20220120T000001_V20220125T022000_21000101T000000_B00,S2A_OPER_GIP_CONVER_MPC__20150710T131444_V20150627T000000_21000101T000000_B00,S2A_OPER_GIP_DATATI_MPC__20151117T131048_V20150703T000000_21000101T000000_B00,S2A_OPER_GIP_DECOMP_MPC__20121031T075922_V19830101T000000_21000101T000000_B00,S2__OPER_GIP_EARMOD_MPC__20150605T094736_V20150622T000000_21000101T000000_B00,S2A_OPER_GIP_ECMWFP_MPC__20121031T075922_V19830101T000000_21000101T000000_B00,S2A_OPER_GIP_G2PARA_MPC__20231208T000027_V20231213T070000_21000101T000000_B00,S2A_OPER_GIP_G2PARE_MPC__20150605T094736_V20150622T000000_21000101T000000_B00,S2A_OPER_GIP_GEOPAR_MPC__20150605T094741_V20150622T000000_21000101T000000_B00,S2A_OPER_GIP_INTDET_MPC__20220120T000010_V20220125T022000_21000101T000000_B00,S2A_OPER_GIP_JP2KPA_MPC__20220120T000006_V20220125T022000_21000101T000000_B00,S2A_OPER_GIP_MASPAR_MPC__20220120T000009_V20220125T022000_21000101T000000_B00,S2A_OPER_GIP_OLQCPA_MPC__20220715T000042_V20220830T002500_21000101T000000_B00,S2A_OPER_GIP_PRDLOC_MPC__20180301T130000_V20180305T005000_21000101T000000_B00,S2A_OPER_GIP_PROBAS_MPC__20231208T000510_V20231213T070000_21000101T000000_B00,S2A_OPER_GIP_R2ABCA_MPC__20231108T144900_V20231109T000000_21000101T000000_B00,S2A_OPER_GIP_R2BINN_MPC__20150605T094803_V20150622T000000_21000101T000000_B00,S2A_OPER_GIP_R2CRCO_MPC__20151023T224715_V20150622T224715_21000101T000000_B00,S2A_OPER_GIP_R2DECT_MPC__20150605T094742_V20150622T000000_21000101T000000_B12,S2A_OPER_GIP_R2DECT_MPC__20150605T094742_V20150622T000000_21000101T000000_B10,S2A_OPER_GIP_R2DECT_MPC__20150605T094741_V20150622T000000_21000101T000000_B03,S2A_OPER_GIP_R2DECT_MPC__20150605T094741_V20150622T000000_21000101T000000_B04,S2A_OPER_GIP_R2DECT_MPC__20150605T094741_V20150622T000000_21000101T000000_B05,S2A_OPER_GIP_R2DECT_MPC__20150605T094741_V20150622T000000_21000101T000000_B08,S2A_OPER_GIP_R2DECT_MPC__20150605T094741_V20150622T000000_21000101T000000_B06,S2A_OPER_GIP_R2DECT_MPC__20150605T094742_V20150622T000000_21000101T000000_B09,S2A_OPER_GIP_R2DECT_MPC__20150605T094741_V20150622T000000_21000101T000000_B8A,S2A_OPER_GIP_R2DECT_MPC__20150605T094741_V20150622T000000_21000101T000000_B07,S2A_OPER_GIP_R2DECT_MPC__20150605T094741_V20150622T000000_21000101T000000_B01,S2A_OPER_GIP_R2DECT_MPC__20150605T094742_V20150622T000000_21000101T000000_B11,S2A_OPER_GIP_R2DECT_MPC__20150605T094741_V20150622T000000_21000101T000000_B02,S2A_OPER_GIP_R2DEFI_MPC__20150605T094741_V20150622T000000_21000101T000000_B12,S2A_OPER_GIP_R2DEFI_MPC__20150605T094741_V20150622T000000_21000101T000000_B09,S2A_OPER_GIP_R2DEFI_MPC__20150605T094741_V20150622T000000_21000101T000000_B04,S2A_OPER_GIP_R2DEFI_MPC__20150605T094741_V20150622T000000_21000101T000000_B11,S2A_OPER_GIP_R2DEFI_MPC__20150605T094741_V20150622T000000_21000101T000000_B02,S2A_OPER_GIP_R2DEFI_MPC__20150605T094741_V20150622T000000_21000101T000000_B08,S2A_OPER_GIP_R2DEFI_MPC__20150605T094741_V20150622T000000_21000101T000000_B10,S2A_OPER_GIP_R2DEFI_MPC__20150605T094741_V20150622T000000_21000101T000000_B07,S2A_OPER_GIP_R2DEFI_MPC__20150605T094741_V20150622T000000_21000101T000000_B8A,S2A_OPER_GIP_R2DEFI_MPC__20150605T094742_V20150622T000000_21000101T000000_B01,S2A_OPER_GIP_R2DEFI_MPC__20150605T094741_V20150622T000000_21000101T000000_B03,S2A_OPER_GIP_R2DEFI_MPC__20150605T094741_V20150622T000000_21000101T000000_B05,S2A_OPER_GIP_R2DEFI_MPC__20150605T094741_V20150622T000000_21000101T000000_B06,S2A_OPER_GIP_R2DENT_MPC__20150605T094742_V20150622T000000_21000101T000000_B04,S2A_OPER_GIP_R2DENT_MPC__20150605T094741_V20150622T000000_21000101T000000_B01,S2A_OPER_GIP_R2DENT_MPC__20150605T094742_V20150622T000000_21000101T000000_B08,S2A_OPER_GIP_R2DENT_MPC__20150605T094742_V20150622T000000_21000101T000000_B06,S2A_OPER_GIP_R2DENT_MPC__20150605T094742_V20150622T000000_21000101T000000_B03,S2A_OPER_GIP_R2DENT_MPC__20150605T094742_V20150622T000000_21000101T000000_B09,S2A_OPER_GIP_R2DENT_MPC__20150605T094742_V20150622T000000_21000101T000000_B11,S2A_OPER_GIP_R2DENT_MPC__20150605T094742_V20150622T000000_21000101T000000_B07,S2A_OPER_GIP_R2DENT_MPC__20150605T094742_V20150622T000000_21000101T000000_B10,S2A_OPER_GIP_R2DENT_MPC__20150605T094742_V20150622T000000_21000101T000000_B05,S2A_OPER_GIP_R2DENT_MPC__20150605T094742_V20150622T000000_21000101T000000_B02,S2A_OPER_GIP_R2DENT_MPC__20150605T094742_V20150622T000000_21000101T000000_B8A,S2A_OPER_GIP_R2DENT_MPC__20150605T094742_V20150622T000000_21000101T000000_B12,S2A_OPER_GIP_R2DEPI_MPC__20230424T160000_V20230426T000000_21000101T000000_B00,S2A_OPER_GIP_R2EOB2_MPC__20190412T145327_V20190429T000000_21000101T000000_B11,S2A_OPER_GIP_R2EOB2_MPC__20190412T145327_V20190429T000000_21000101T000000_B8A,S2A_OPER_GIP_R2EOB2_MPC__20190412T145327_V20190429T000000_21000101T000000_B09,S2A_OPER_GIP_R2EOB2_MPC__20190412T145327_V20190429T000000_21000101T000000_B06,S2A_OPER_GIP_R2EOB2_MPC__20190412T145327_V20190429T000000_21000101T000000_B04,S2A_OPER_GIP_R2EOB2_MPC__20190412T145327_V20190429T000000_21000101T000000_B12,S2A_OPER_GIP_R2EOB2_MPC__20190412T145327_V20190429T000000_21000101T000000_B03,S2A_OPER_GIP_R2EOB2_MPC__20190412T145327_V20190429T000000_21000101T000000_B01,S2A_OPER_GIP_R2EOB2_MPC__20190412T145327_V20190429T000000_21000101T000000_B02,S2A_OPER_GIP_R2EOB2_MPC__20190412T145327_V20190429T000000_21000101T000000_B10,S2A_OPER_GIP_R2EOB2_MPC__20190412T145327_V20190429T000000_21000101T000000_B07,S2A_OPER_GIP_R2EOB2_MPC__20190412T145327_V20190429T000000_21000101T000000_B08,S2A_OPER_GIP_R2EOB2_MPC__20190412T145327_V20190429T000000_21000101T000000_B05,S2A_OPER_GIP_R2EQOG_MPC__20231108T144900_V20231109T000000_21000101T000000_B03,S2A_OPER_GIP_R2EQOG_MPC__20231108T144900_V20231109T000000_21000101T000000_B8A,S2A_OPER_GIP_R2EQOG_MPC__20231108T144900_V20231109T000000_21000101T000000_B11,S2A_OPER_GIP_R2EQOG_MPC__20231108T144900_V20231109T000000_21000101T000000_B12,S2A_OPER_GIP_R2EQOG_MPC__20231108T144900_V20231109T000000_21000101T000000_B10,S2A_OPER_GIP_R2EQOG_MPC__20231108T144900_V20231109T000000_21000101T000000_B06,S2A_OPER_GIP_R2EQOG_MPC__20231108T144900_V20231109T000000_21000101T000000_B04,S2A_OPER_GIP_R2EQOG_MPC__20231108T144900_V20231109T000000_21000101T000000_B05,S2A_OPER_GIP_R2EQOG_MPC__20231108T144900_V20231109T000000_21000101T000000_B02,S2A_OPER_GIP_R2EQOG_MPC__20231108T144900_V20231109T000000_21000101T000000_B08,S2A_OPER_GIP_R2EQOG_MPC__20231108T144900_V20231109T000000_21000101T000000_B09,S2A_OPER_GIP_R2EQOG_MPC__20231108T144900_V20231109T000000_21000101T000000_B01,S2A_OPER_GIP_R2EQOG_MPC__20231108T144900_V20231109T000000_21000101T000000_B07,S2A_OPER_GIP_R2L2NC_MPC__20150605T094742_V20150622T000000_21000101T000000_B04,S2A_OPER_GIP_R2L2NC_MPC__20150605T094742_V20150622T000000_21000101T000000_B09,S2A_OPER_GIP_R2L2NC_MPC__20150605T094742_V20150622T000000_21000101T000000_B11,S2A_OPER_GIP_R2L2NC_MPC__20150605T094742_V20150622T000000_21000101T000000_B07,S2A_OPER_GIP_R2L2NC_MPC__20150605T094742_V20150622T000000_21000101T000000_B05,S2A_OPER_GIP_R2L2NC_MPC__20150605T094742_V20150622T000000_21000101T000000_B08,S2A_OPER_GIP_R2L2NC_MPC__20150605T094742_V20150622T000000_21000101T000000_B8A,S2A_OPER_GIP_R2L2NC_MPC__20150605T094742_V20150622T000000_21000101T000000_B01,S2A_OPER_GIP_R2L2NC_MPC__20150605T094742_V20150622T000000_21000101T000000_B10,S2A_OPER_GIP_R2L2NC_MPC__20150605T094742_V20150622T000000_21000101T000000_B06,S2A_OPER_GIP_R2L2NC_MPC__20150605T094742_V20150622T000000_21000101T000000_B12,S2A_OPER_GIP_R2L2NC_MPC__20150605T094742_V20150622T000000_21000101T000000_B02,S2A_OPER_GIP_R2L2NC_MPC__20150605T094741_V20150622T000000_21000101T000000_B03,S2A_OPER_GIP_R2NOMO_MPC__20150605T094803_V20150622T000000_21000101T000000_B00,S2A_OPER_GIP_R2PARA_MPC__20221206T000009_V20221206T073000_21000101T000000_B00,S2A_OPER_GIP_R2SWIR_MPC__20180406T000021_V20180604T100000_21000101T000000_B00,S2A_OPER_GIP_R2WAFI_MPC__20150605T094742_V20150622T000000_21000101T000000_B05,S2A_OPER_GIP_R2WAFI_MPC__20150605T094742_V20150622T000000_21000101T000000_B04,S2A_OPER_GIP_R2WAFI_MPC__20150605T094742_V20150622T000000_21000101T000000_B07,S2A_OPER_GIP_R2WAFI_MPC__20150605T094742_V20150622T000000_21000101T000000_B06,S2A_OPER_GIP_R2WAFI_MPC__20150605T094742_V20150622T000000_21000101T000000_B09,S2A_OPER_GIP_R2WAFI_MPC__20150605T094742_V20150622T000000_21000101T000000_B8A,S2A_OPER_GIP_R2WAFI_MPC__20150605T094742_V20150622T000000_21000101T000000_B08,S2A_OPER_GIP_R2WAFI_MPC__20150605T094742_V20150622T000000_21000101T000000_B10,S2A_OPER_GIP_R2WAFI_MPC__20150605T094742_V20150622T000000_21000101T000000_B12,S2A_OPER_GIP_R2WAFI_MPC__20150605T094742_V20150622T000000_21000101T000000_B11,S2A_OPER_GIP_R2WAFI_MPC__20150605T094742_V20150622T000000_21000101T000000_B01,S2A_OPER_GIP_R2WAFI_MPC__20150605T094742_V20150622T000000_21000101T000000_B03,S2A_OPER_GIP_R2WAFI_MPC__20150605T094742_V20150622T000000_21000101T000000_B02,S2A_OPER_GIP_RESPAR_MPC__20150605T094736_V20150622T000000_21000101T000000_B00,S2A_OPER_GIP_SPAMOD_MPC__20231122T110026_V20231123T010000_21000101T000000_B00,S2A_OPER_GIP_TILPAR_MPC__20151209T095117_V20150622T000000_21000101T000000_B00,S2A_OPER_GIP_VIEDIR_MPC__20151117T131050_V20150703T000000_21000101T000000_B05,S2A_OPER_GIP_VIEDIR_MPC__20151117T131048_V20150703T000000_21000101T000000_B01,S2A_OPER_GIP_VIEDIR_MPC__20151117T131049_V20150703T000000_21000101T000000_B02,S2A_OPER_GIP_VIEDIR_MPC__20151117T131050_V20150703T000000_21000101T000000_B8A,S2A_OPER_GIP_VIEDIR_MPC__20151117T131049_V20150703T000000_21000101T000000_B03,S2A_OPER_GIP_VIEDIR_MPC__20151117T131050_V20150703T000000_21000101T000000_B07,S2A_OPER_GIP_VIEDIR_MPC__20151117T131050_V20150703T000000_21000101T000000_B10,S2A_OPER_GIP_VIEDIR_MPC__20151117T131049_V20150703T000000_21000101T000000_B04,S2A_OPER_GIP_VIEDIR_MPC__20151117T131050_V20150703T000000_21000101T000000_B06,S2A_OPER_GIP_VIEDIR_MPC__20151117T131050_V20150703T000000_21000101T000000_B09,S2A_OPER_GIP_VIEDIR_MPC__20151117T131050_V20150703T000000_21000101T000000_B08,S2A_OPER_GIP_VIEDIR_MPC__20151117T131050_V20150703T000000_21000101T000000_B11,S2A_OPER_GIP_VIEDIR_MPC__20151117T131051_V20150703T000000_21000101T000000_B12,S2__OPER_GIP_L2ACSC_MPC__20220121T000003_V20220125T022000_21000101T000000_B00,S2__OPER_GIP_L2ACAC_MPC__20220121T000004_V20220125T022000_21000101T000000_B00,S2__OPER_GIP_PROBA2_MPC__20231208T000510_V20231213T070000_21000101T000000_B00&#x27;, &#x27;used CAMS file names&#x27;: &#x27;S2__OPER_AUX_CAMSFO_ADG__20240101T000000_V20240101T000000_20240103T010000&#x27;, &#x27;used DEM file name&#x27;: &#x27;CopernicusDEM30&#x27;, &#x27;used ECMWF file names&#x27;: &#x27;S2__OPER_AUX_ECMWFD_ADG__20240101T000000_V20240101T090000_20240103T030000&#x27;, &#x27;used GRI file name&#x27;: &#x27;S2A_OPER_GRI_MSIL1B_MPC__20160521T184422_S20151114T103133,S2A_OPER_GRI_MSIL1B_MPC__20160531T210152_S20160512T102954,S2A_OPER_GRI_MSIL1B_MPC__20160907T095549_S20160422T103554,S2A_OPER_GRI_MSIL1B_MPC__20161018T120000_S20150826T102633&#x27;, &#x27;used IERS file name&#x27;: &#x27;S2__OPER_AUX_UT1UTC_PDMC_20231230T000000_V20231230T000000_20241229T000000&#x27;}, &#x27;organisation&#x27;: &#x27;ESA&#x27;, &#x27;output&#x27;: &#x27;S2MSIL1B_etc&#x27;, &#x27;processor&#x27;: &#x27;Sentinel-2 IPF&#x27;, &#x27;type&#x27;: &#x27;Level-1B Product&#x27;, &#x27;version&#x27;: &#x27;???&#x27;}, {&#x27;inputs&#x27;: {&#x27;Level-1B Product&#x27;: &#x27;S2MSIL1B_etc&#x27;, &#x27;list of used processing parameters file names&#x27;: &#x27;S2A_OPER_GIP_INVLOC_MPC__20171206T000000_V20150703T000000_21000101T000000_B00,S2A_OPER_GIP_LREXTR_MPC__20150605T094736_V20150622T000000_21000101T000000_B00,S2A_OPER_GIP_ATMIMA_MPC__20150605T094744_V20150622T000000_21000101T000000_B00,S2A_OPER_GIP_ATMSAD_MPC__20160729T000005_V20150703T000000_21000101T000000_B00,S2A_OPER_GIP_BLINDP_MPC__20150605T094736_V20150622T000000_21000101T000000_B00,S2A_OPER_GIP_CLOINV_MPC__20210609T000005_V20210823T030000_21000101T000000_B00,S2A_OPER_GIP_CLOPAR_MPC__20220120T000001_V20220125T022000_21000101T000000_B00,S2A_OPER_GIP_CONVER_MPC__20150710T131444_V20150627T000000_21000101T000000_B00,S2A_OPER_GIP_DATATI_MPC__20151117T131048_V20150703T000000_21000101T000000_B00,S2A_OPER_GIP_DECOMP_MPC__20121031T075922_V19830101T000000_21000101T000000_B00,S2__OPER_GIP_EARMOD_MPC__20150605T094736_V20150622T000000_21000101T000000_B00,S2A_OPER_GIP_ECMWFP_MPC__20121031T075922_V19830101T000000_21000101T000000_B00,S2A_OPER_GIP_G2PARA_MPC__20231208T000027_V20231213T070000_21000101T000000_B00,S2A_OPER_GIP_G2PARE_MPC__20150605T094736_V20150622T000000_21000101T000000_B00,S2A_OPER_GIP_GEOPAR_MPC__20150605T094741_V20150622T000000_21000101T000000_B00,S2A_OPER_GIP_INTDET_MPC__20220120T000010_V20220125T022000_21000101T000000_B00,S2A_OPER_GIP_JP2KPA_MPC__20220120T000006_V20220125T022000_21000101T000000_B00,S2A_OPER_GIP_MASPAR_MPC__20220120T000009_V20220125T022000_21000101T000000_B00,S2A_OPER_GIP_OLQCPA_MPC__20220715T000042_V20220830T002500_21000101T000000_B00,S2A_OPER_GIP_PRDLOC_MPC__20180301T130000_V20180305T005000_21000101T000000_B00,S2A_OPER_GIP_PROBAS_MPC__20231208T000510_V20231213T070000_21000101T000000_B00,S2A_OPER_GIP_R2ABCA_MPC__20231108T144900_V20231109T000000_21000101T000000_B00,S2A_OPER_GIP_R2BINN_MPC__20150605T094803_V20150622T000000_21000101T000000_B00,S2A_OPER_GIP_R2CRCO_MPC__20151023T224715_V20150622T224715_21000101T000000_B00,S2A_OPER_GIP_R2DECT_MPC__20150605T094742_V20150622T000000_21000101T000000_B12,S2A_OPER_GIP_R2DECT_MPC__20150605T094742_V20150622T000000_21000101T000000_B10,S2A_OPER_GIP_R2DECT_MPC__20150605T094741_V20150622T000000_21000101T000000_B03,S2A_OPER_GIP_R2DECT_MPC__20150605T094741_V20150622T000000_21000101T000000_B04,S2A_OPER_GIP_R2DECT_MPC__20150605T094741_V20150622T000000_21000101T000000_B05,S2A_OPER_GIP_R2DECT_MPC__20150605T094741_V20150622T000000_21000101T000000_B08,S2A_OPER_GIP_R2DECT_MPC__20150605T094741_V20150622T000000_21000101T000000_B06,S2A_OPER_GIP_R2DECT_MPC__20150605T094742_V20150622T000000_21000101T000000_B09,S2A_OPER_GIP_R2DECT_MPC__20150605T094741_V20150622T000000_21000101T000000_B8A,S2A_OPER_GIP_R2DECT_MPC__20150605T094741_V20150622T000000_21000101T000000_B07,S2A_OPER_GIP_R2DECT_MPC__20150605T094741_V20150622T000000_21000101T000000_B01,S2A_OPER_GIP_R2DECT_MPC__20150605T094742_V20150622T000000_21000101T000000_B11,S2A_OPER_GIP_R2DECT_MPC__20150605T094741_V20150622T000000_21000101T000000_B02,S2A_OPER_GIP_R2DEFI_MPC__20150605T094741_V20150622T000000_21000101T000000_B12,S2A_OPER_GIP_R2DEFI_MPC__20150605T094741_V20150622T000000_21000101T000000_B09,S2A_OPER_GIP_R2DEFI_MPC__20150605T094741_V20150622T000000_21000101T000000_B04,S2A_OPER_GIP_R2DEFI_MPC__20150605T094741_V20150622T000000_21000101T000000_B11,S2A_OPER_GIP_R2DEFI_MPC__20150605T094741_V20150622T000000_21000101T000000_B02,S2A_OPER_GIP_R2DEFI_MPC__20150605T094741_V20150622T000000_21000101T000000_B08,S2A_OPER_GIP_R2DEFI_MPC__20150605T094741_V20150622T000000_21000101T000000_B10,S2A_OPER_GIP_R2DEFI_MPC__20150605T094741_V20150622T000000_21000101T000000_B07,S2A_OPER_GIP_R2DEFI_MPC__20150605T094741_V20150622T000000_21000101T000000_B8A,S2A_OPER_GIP_R2DEFI_MPC__20150605T094742_V20150622T000000_21000101T000000_B01,S2A_OPER_GIP_R2DEFI_MPC__20150605T094741_V20150622T000000_21000101T000000_B03,S2A_OPER_GIP_R2DEFI_MPC__20150605T094741_V20150622T000000_21000101T000000_B05,S2A_OPER_GIP_R2DEFI_MPC__20150605T094741_V20150622T000000_21000101T000000_B06,S2A_OPER_GIP_R2DENT_MPC__20150605T094742_V20150622T000000_21000101T000000_B04,S2A_OPER_GIP_R2DENT_MPC__20150605T094741_V20150622T000000_21000101T000000_B01,S2A_OPER_GIP_R2DENT_MPC__20150605T094742_V20150622T000000_21000101T000000_B08,S2A_OPER_GIP_R2DENT_MPC__20150605T094742_V20150622T000000_21000101T000000_B06,S2A_OPER_GIP_R2DENT_MPC__20150605T094742_V20150622T000000_21000101T000000_B03,S2A_OPER_GIP_R2DENT_MPC__20150605T094742_V20150622T000000_21000101T000000_B09,S2A_OPER_GIP_R2DENT_MPC__20150605T094742_V20150622T000000_21000101T000000_B11,S2A_OPER_GIP_R2DENT_MPC__20150605T094742_V20150622T000000_21000101T000000_B07,S2A_OPER_GIP_R2DENT_MPC__20150605T094742_V20150622T000000_21000101T000000_B10,S2A_OPER_GIP_R2DENT_MPC__20150605T094742_V20150622T000000_21000101T000000_B05,S2A_OPER_GIP_R2DENT_MPC__20150605T094742_V20150622T000000_21000101T000000_B02,S2A_OPER_GIP_R2DENT_MPC__20150605T094742_V20150622T000000_21000101T000000_B8A,S2A_OPER_GIP_R2DENT_MPC__20150605T094742_V20150622T000000_21000101T000000_B12,S2A_OPER_GIP_R2DEPI_MPC__20230424T160000_V20230426T000000_21000101T000000_B00,S2A_OPER_GIP_R2EOB2_MPC__20190412T145327_V20190429T000000_21000101T000000_B11,S2A_OPER_GIP_R2EOB2_MPC__20190412T145327_V20190429T000000_21000101T000000_B8A,S2A_OPER_GIP_R2EOB2_MPC__20190412T145327_V20190429T000000_21000101T000000_B09,S2A_OPER_GIP_R2EOB2_MPC__20190412T145327_V20190429T000000_21000101T000000_B06,S2A_OPER_GIP_R2EOB2_MPC__20190412T145327_V20190429T000000_21000101T000000_B04,S2A_OPER_GIP_R2EOB2_MPC__20190412T145327_V20190429T000000_21000101T000000_B12,S2A_OPER_GIP_R2EOB2_MPC__20190412T145327_V20190429T000000_21000101T000000_B03,S2A_OPER_GIP_R2EOB2_MPC__20190412T145327_V20190429T000000_21000101T000000_B01,S2A_OPER_GIP_R2EOB2_MPC__20190412T145327_V20190429T000000_21000101T000000_B02,S2A_OPER_GIP_R2EOB2_MPC__20190412T145327_V20190429T000000_21000101T000000_B10,S2A_OPER_GIP_R2EOB2_MPC__20190412T145327_V20190429T000000_21000101T000000_B07,S2A_OPER_GIP_R2EOB2_MPC__20190412T145327_V20190429T000000_21000101T000000_B08,S2A_OPER_GIP_R2EOB2_MPC__20190412T145327_V20190429T000000_21000101T000000_B05,S2A_OPER_GIP_R2EQOG_MPC__20231108T144900_V20231109T000000_21000101T000000_B03,S2A_OPER_GIP_R2EQOG_MPC__20231108T144900_V20231109T000000_21000101T000000_B8A,S2A_OPER_GIP_R2EQOG_MPC__20231108T144900_V20231109T000000_21000101T000000_B11,S2A_OPER_GIP_R2EQOG_MPC__20231108T144900_V20231109T000000_21000101T000000_B12,S2A_OPER_GIP_R2EQOG_MPC__20231108T144900_V20231109T000000_21000101T000000_B10,S2A_OPER_GIP_R2EQOG_MPC__20231108T144900_V20231109T000000_21000101T000000_B06,S2A_OPER_GIP_R2EQOG_MPC__20231108T144900_V20231109T000000_21000101T000000_B04,S2A_OPER_GIP_R2EQOG_MPC__20231108T144900_V20231109T000000_21000101T000000_B05,S2A_OPER_GIP_R2EQOG_MPC__20231108T144900_V20231109T000000_21000101T000000_B02,S2A_OPER_GIP_R2EQOG_MPC__20231108T144900_V20231109T000000_21000101T000000_B08,S2A_OPER_GIP_R2EQOG_MPC__20231108T144900_V20231109T000000_21000101T000000_B09,S2A_OPER_GIP_R2EQOG_MPC__20231108T144900_V20231109T000000_21000101T000000_B01,S2A_OPER_GIP_R2EQOG_MPC__20231108T144900_V20231109T000000_21000101T000000_B07,S2A_OPER_GIP_R2L2NC_MPC__20150605T094742_V20150622T000000_21000101T000000_B04,S2A_OPER_GIP_R2L2NC_MPC__20150605T094742_V20150622T000000_21000101T000000_B09,S2A_OPER_GIP_R2L2NC_MPC__20150605T094742_V20150622T000000_21000101T000000_B11,S2A_OPER_GIP_R2L2NC_MPC__20150605T094742_V20150622T000000_21000101T000000_B07,S2A_OPER_GIP_R2L2NC_MPC__20150605T094742_V20150622T000000_21000101T000000_B05,S2A_OPER_GIP_R2L2NC_MPC__20150605T094742_V20150622T000000_21000101T000000_B08,S2A_OPER_GIP_R2L2NC_MPC__20150605T094742_V20150622T000000_21000101T000000_B8A,S2A_OPER_GIP_R2L2NC_MPC__20150605T094742_V20150622T000000_21000101T000000_B01,S2A_OPER_GIP_R2L2NC_MPC__20150605T094742_V20150622T000000_21000101T000000_B10,S2A_OPER_GIP_R2L2NC_MPC__20150605T094742_V20150622T000000_21000101T000000_B06,S2A_OPER_GIP_R2L2NC_MPC__20150605T094742_V20150622T000000_21000101T000000_B12,S2A_OPER_GIP_R2L2NC_MPC__20150605T094742_V20150622T000000_21000101T000000_B02,S2A_OPER_GIP_R2L2NC_MPC__20150605T094741_V20150622T000000_21000101T000000_B03,S2A_OPER_GIP_R2NOMO_MPC__20150605T094803_V20150622T000000_21000101T000000_B00,S2A_OPER_GIP_R2PARA_MPC__20221206T000009_V20221206T073000_21000101T000000_B00,S2A_OPER_GIP_R2SWIR_MPC__20180406T000021_V20180604T100000_21000101T000000_B00,S2A_OPER_GIP_R2WAFI_MPC__20150605T094742_V20150622T000000_21000101T000000_B05,S2A_OPER_GIP_R2WAFI_MPC__20150605T094742_V20150622T000000_21000101T000000_B04,S2A_OPER_GIP_R2WAFI_MPC__20150605T094742_V20150622T000000_21000101T000000_B07,S2A_OPER_GIP_R2WAFI_MPC__20150605T094742_V20150622T000000_21000101T000000_B06,S2A_OPER_GIP_R2WAFI_MPC__20150605T094742_V20150622T000000_21000101T000000_B09,S2A_OPER_GIP_R2WAFI_MPC__20150605T094742_V20150622T000000_21000101T000000_B8A,S2A_OPER_GIP_R2WAFI_MPC__20150605T094742_V20150622T000000_21000101T000000_B08,S2A_OPER_GIP_R2WAFI_MPC__20150605T094742_V20150622T000000_21000101T000000_B10,S2A_OPER_GIP_R2WAFI_MPC__20150605T094742_V20150622T000000_21000101T000000_B12,S2A_OPER_GIP_R2WAFI_MPC__20150605T094742_V20150622T000000_21000101T000000_B11,S2A_OPER_GIP_R2WAFI_MPC__20150605T094742_V20150622T000000_21000101T000000_B01,S2A_OPER_GIP_R2WAFI_MPC__20150605T094742_V20150622T000000_21000101T000000_B03,S2A_OPER_GIP_R2WAFI_MPC__20150605T094742_V20150622T000000_21000101T000000_B02,S2A_OPER_GIP_RESPAR_MPC__20150605T094736_V20150622T000000_21000101T000000_B00,S2A_OPER_GIP_SPAMOD_MPC__20231122T110026_V20231123T010000_21000101T000000_B00,S2A_OPER_GIP_TILPAR_MPC__20151209T095117_V20150622T000000_21000101T000000_B00,S2A_OPER_GIP_VIEDIR_MPC__20151117T131050_V20150703T000000_21000101T000000_B05,S2A_OPER_GIP_VIEDIR_MPC__20151117T131048_V20150703T000000_21000101T000000_B01,S2A_OPER_GIP_VIEDIR_MPC__20151117T131049_V20150703T000000_21000101T000000_B02,S2A_OPER_GIP_VIEDIR_MPC__20151117T131050_V20150703T000000_21000101T000000_B8A,S2A_OPER_GIP_VIEDIR_MPC__20151117T131049_V20150703T000000_21000101T000000_B03,S2A_OPER_GIP_VIEDIR_MPC__20151117T131050_V20150703T000000_21000101T000000_B07,S2A_OPER_GIP_VIEDIR_MPC__20151117T131050_V20150703T000000_21000101T000000_B10,S2A_OPER_GIP_VIEDIR_MPC__20151117T131049_V20150703T000000_21000101T000000_B04,S2A_OPER_GIP_VIEDIR_MPC__20151117T131050_V20150703T000000_21000101T000000_B06,S2A_OPER_GIP_VIEDIR_MPC__20151117T131050_V20150703T000000_21000101T000000_B09,S2A_OPER_GIP_VIEDIR_MPC__20151117T131050_V20150703T000000_21000101T000000_B08,S2A_OPER_GIP_VIEDIR_MPC__20151117T131050_V20150703T000000_21000101T000000_B11,S2A_OPER_GIP_VIEDIR_MPC__20151117T131051_V20150703T000000_21000101T000000_B12,S2__OPER_GIP_L2ACSC_MPC__20220121T000003_V20220125T022000_21000101T000000_B00,S2__OPER_GIP_L2ACAC_MPC__20220121T000004_V20220125T022000_21000101T000000_B00,S2__OPER_GIP_PROBA2_MPC__20231208T000510_V20231213T070000_21000101T000000_B00&#x27;, &#x27;used CAMS file names&#x27;: &#x27;S2__OPER_AUX_CAMSFO_ADG__20240101T000000_V20240101T000000_20240103T010000&#x27;, &#x27;used DEM file name&#x27;: &#x27;CopernicusDEM30&#x27;, &#x27;used ECMWF file names&#x27;: &#x27;S2__OPER_AUX_ECMWFD_ADG__20240101T000000_V20240101T090000_20240103T030000&#x27;, &#x27;used GRI file name&#x27;: &#x27;S2A_OPER_GRI_MSIL1B_MPC__20160521T184422_S20151114T103133,S2A_OPER_GRI_MSIL1B_MPC__20160531T210152_S20160512T102954,S2A_OPER_GRI_MSIL1B_MPC__20160907T095549_S20160422T103554,S2A_OPER_GRI_MSIL1B_MPC__20161018T120000_S20150826T102633&#x27;, &#x27;used IERS file name&#x27;: &#x27;S2__OPER_AUX_UT1UTC_PDMC_20231230T000000_V20231230T000000_20241229T000000&#x27;}, &#x27;organisation&#x27;: &#x27;ESA&#x27;, &#x27;output&#x27;: &#x27;S2MSIL1C_etc&#x27;, &#x27;processor&#x27;: &#x27;Sentinel-2 IPF&#x27;, &#x27;type&#x27;: &#x27;Level-1C Product&#x27;, &#x27;version&#x27;: &#x27;???&#x27;}, {&#x27;inputs&#x27;: {&#x27;Level-1C Product&#x27;: &#x27;S2MSIL1C_etc&#x27;, &#x27;list of used processing parameters file names&#x27;: &#x27;S2A_OPER_GIP_INVLOC_MPC__20171206T000000_V20150703T000000_21000101T000000_B00,S2A_OPER_GIP_LREXTR_MPC__20150605T094736_V20150622T000000_21000101T000000_B00,S2A_OPER_GIP_ATMIMA_MPC__20150605T094744_V20150622T000000_21000101T000000_B00,S2A_OPER_GIP_ATMSAD_MPC__20160729T000005_V20150703T000000_21000101T000000_B00,S2A_OPER_GIP_BLINDP_MPC__20150605T094736_V20150622T000000_21000101T000000_B00,S2A_OPER_GIP_CLOINV_MPC__20210609T000005_V20210823T030000_21000101T000000_B00,S2A_OPER_GIP_CLOPAR_MPC__20220120T000001_V20220125T022000_21000101T000000_B00,S2A_OPER_GIP_CONVER_MPC__20150710T131444_V20150627T000000_21000101T000000_B00,S2A_OPER_GIP_DATATI_MPC__20151117T131048_V20150703T000000_21000101T000000_B00,S2A_OPER_GIP_DECOMP_MPC__20121031T075922_V19830101T000000_21000101T000000_B00,S2__OPER_GIP_EARMOD_MPC__20150605T094736_V20150622T000000_21000101T000000_B00,S2A_OPER_GIP_ECMWFP_MPC__20121031T075922_V19830101T000000_21000101T000000_B00,S2A_OPER_GIP_G2PARA_MPC__20231208T000027_V20231213T070000_21000101T000000_B00,S2A_OPER_GIP_G2PARE_MPC__20150605T094736_V20150622T000000_21000101T000000_B00,S2A_OPER_GIP_GEOPAR_MPC__20150605T094741_V20150622T000000_21000101T000000_B00,S2A_OPER_GIP_INTDET_MPC__20220120T000010_V20220125T022000_21000101T000000_B00,S2A_OPER_GIP_JP2KPA_MPC__20220120T000006_V20220125T022000_21000101T000000_B00,S2A_OPER_GIP_MASPAR_MPC__20220120T000009_V20220125T022000_21000101T000000_B00,S2A_OPER_GIP_OLQCPA_MPC__20220715T000042_V20220830T002500_21000101T000000_B00,S2A_OPER_GIP_PRDLOC_MPC__20180301T130000_V20180305T005000_21000101T000000_B00,S2A_OPER_GIP_PROBAS_MPC__20231208T000510_V20231213T070000_21000101T000000_B00,S2A_OPER_GIP_R2ABCA_MPC__20231108T144900_V20231109T000000_21000101T000000_B00,S2A_OPER_GIP_R2BINN_MPC__20150605T094803_V20150622T000000_21000101T000000_B00,S2A_OPER_GIP_R2CRCO_MPC__20151023T224715_V20150622T224715_21000101T000000_B00,S2A_OPER_GIP_R2DECT_MPC__20150605T094742_V20150622T000000_21000101T000000_B12,S2A_OPER_GIP_R2DECT_MPC__20150605T094742_V20150622T000000_21000101T000000_B10,S2A_OPER_GIP_R2DECT_MPC__20150605T094741_V20150622T000000_21000101T000000_B03,S2A_OPER_GIP_R2DECT_MPC__20150605T094741_V20150622T000000_21000101T000000_B04,S2A_OPER_GIP_R2DECT_MPC__20150605T094741_V20150622T000000_21000101T000000_B05,S2A_OPER_GIP_R2DECT_MPC__20150605T094741_V20150622T000000_21000101T000000_B08,S2A_OPER_GIP_R2DECT_MPC__20150605T094741_V20150622T000000_21000101T000000_B06,S2A_OPER_GIP_R2DECT_MPC__20150605T094742_V20150622T000000_21000101T000000_B09,S2A_OPER_GIP_R2DECT_MPC__20150605T094741_V20150622T000000_21000101T000000_B8A,S2A_OPER_GIP_R2DECT_MPC__20150605T094741_V20150622T000000_21000101T000000_B07,S2A_OPER_GIP_R2DECT_MPC__20150605T094741_V20150622T000000_21000101T000000_B01,S2A_OPER_GIP_R2DECT_MPC__20150605T094742_V20150622T000000_21000101T000000_B11,S2A_OPER_GIP_R2DECT_MPC__20150605T094741_V20150622T000000_21000101T000000_B02,S2A_OPER_GIP_R2DEFI_MPC__20150605T094741_V20150622T000000_21000101T000000_B12,S2A_OPER_GIP_R2DEFI_MPC__20150605T094741_V20150622T000000_21000101T000000_B09,S2A_OPER_GIP_R2DEFI_MPC__20150605T094741_V20150622T000000_21000101T000000_B04,S2A_OPER_GIP_R2DEFI_MPC__20150605T094741_V20150622T000000_21000101T000000_B11,S2A_OPER_GIP_R2DEFI_MPC__20150605T094741_V20150622T000000_21000101T000000_B02,S2A_OPER_GIP_R2DEFI_MPC__20150605T094741_V20150622T000000_21000101T000000_B08,S2A_OPER_GIP_R2DEFI_MPC__20150605T094741_V20150622T000000_21000101T000000_B10,S2A_OPER_GIP_R2DEFI_MPC__20150605T094741_V20150622T000000_21000101T000000_B07,S2A_OPER_GIP_R2DEFI_MPC__20150605T094741_V20150622T000000_21000101T000000_B8A,S2A_OPER_GIP_R2DEFI_MPC__20150605T094742_V20150622T000000_21000101T000000_B01,S2A_OPER_GIP_R2DEFI_MPC__20150605T094741_V20150622T000000_21000101T000000_B03,S2A_OPER_GIP_R2DEFI_MPC__20150605T094741_V20150622T000000_21000101T000000_B05,S2A_OPER_GIP_R2DEFI_MPC__20150605T094741_V20150622T000000_21000101T000000_B06,S2A_OPER_GIP_R2DENT_MPC__20150605T094742_V20150622T000000_21000101T000000_B04,S2A_OPER_GIP_R2DENT_MPC__20150605T094741_V20150622T000000_21000101T000000_B01,S2A_OPER_GIP_R2DENT_MPC__20150605T094742_V20150622T000000_21000101T000000_B08,S2A_OPER_GIP_R2DENT_MPC__20150605T094742_V20150622T000000_21000101T000000_B06,S2A_OPER_GIP_R2DENT_MPC__20150605T094742_V20150622T000000_21000101T000000_B03,S2A_OPER_GIP_R2DENT_MPC__20150605T094742_V20150622T000000_21000101T000000_B09,S2A_OPER_GIP_R2DENT_MPC__20150605T094742_V20150622T000000_21000101T000000_B11,S2A_OPER_GIP_R2DENT_MPC__20150605T094742_V20150622T000000_21000101T000000_B07,S2A_OPER_GIP_R2DENT_MPC__20150605T094742_V20150622T000000_21000101T000000_B10,S2A_OPER_GIP_R2DENT_MPC__20150605T094742_V20150622T000000_21000101T000000_B05,S2A_OPER_GIP_R2DENT_MPC__20150605T094742_V20150622T000000_21000101T000000_B02,S2A_OPER_GIP_R2DENT_MPC__20150605T094742_V20150622T000000_21000101T000000_B8A,S2A_OPER_GIP_R2DENT_MPC__20150605T094742_V20150622T000000_21000101T000000_B12,S2A_OPER_GIP_R2DEPI_MPC__20230424T160000_V20230426T000000_21000101T000000_B00,S2A_OPER_GIP_R2EOB2_MPC__20190412T145327_V20190429T000000_21000101T000000_B11,S2A_OPER_GIP_R2EOB2_MPC__20190412T145327_V20190429T000000_21000101T000000_B8A,S2A_OPER_GIP_R2EOB2_MPC__20190412T145327_V20190429T000000_21000101T000000_B09,S2A_OPER_GIP_R2EOB2_MPC__20190412T145327_V20190429T000000_21000101T000000_B06,S2A_OPER_GIP_R2EOB2_MPC__20190412T145327_V20190429T000000_21000101T000000_B04,S2A_OPER_GIP_R2EOB2_MPC__20190412T145327_V20190429T000000_21000101T000000_B12,S2A_OPER_GIP_R2EOB2_MPC__20190412T145327_V20190429T000000_21000101T000000_B03,S2A_OPER_GIP_R2EOB2_MPC__20190412T145327_V20190429T000000_21000101T000000_B01,S2A_OPER_GIP_R2EOB2_MPC__20190412T145327_V20190429T000000_21000101T000000_B02,S2A_OPER_GIP_R2EOB2_MPC__20190412T145327_V20190429T000000_21000101T000000_B10,S2A_OPER_GIP_R2EOB2_MPC__20190412T145327_V20190429T000000_21000101T000000_B07,S2A_OPER_GIP_R2EOB2_MPC__20190412T145327_V20190429T000000_21000101T000000_B08,S2A_OPER_GIP_R2EOB2_MPC__20190412T145327_V20190429T000000_21000101T000000_B05,S2A_OPER_GIP_R2EQOG_MPC__20231108T144900_V20231109T000000_21000101T000000_B03,S2A_OPER_GIP_R2EQOG_MPC__20231108T144900_V20231109T000000_21000101T000000_B8A,S2A_OPER_GIP_R2EQOG_MPC__20231108T144900_V20231109T000000_21000101T000000_B11,S2A_OPER_GIP_R2EQOG_MPC__20231108T144900_V20231109T000000_21000101T000000_B12,S2A_OPER_GIP_R2EQOG_MPC__20231108T144900_V20231109T000000_21000101T000000_B10,S2A_OPER_GIP_R2EQOG_MPC__20231108T144900_V20231109T000000_21000101T000000_B06,S2A_OPER_GIP_R2EQOG_MPC__20231108T144900_V20231109T000000_21000101T000000_B04,S2A_OPER_GIP_R2EQOG_MPC__20231108T144900_V20231109T000000_21000101T000000_B05,S2A_OPER_GIP_R2EQOG_MPC__20231108T144900_V20231109T000000_21000101T000000_B02,S2A_OPER_GIP_R2EQOG_MPC__20231108T144900_V20231109T000000_21000101T000000_B08,S2A_OPER_GIP_R2EQOG_MPC__20231108T144900_V20231109T000000_21000101T000000_B09,S2A_OPER_GIP_R2EQOG_MPC__20231108T144900_V20231109T000000_21000101T000000_B01,S2A_OPER_GIP_R2EQOG_MPC__20231108T144900_V20231109T000000_21000101T000000_B07,S2A_OPER_GIP_R2L2NC_MPC__20150605T094742_V20150622T000000_21000101T000000_B04,S2A_OPER_GIP_R2L2NC_MPC__20150605T094742_V20150622T000000_21000101T000000_B09,S2A_OPER_GIP_R2L2NC_MPC__20150605T094742_V20150622T000000_21000101T000000_B11,S2A_OPER_GIP_R2L2NC_MPC__20150605T094742_V20150622T000000_21000101T000000_B07,S2A_OPER_GIP_R2L2NC_MPC__20150605T094742_V20150622T000000_21000101T000000_B05,S2A_OPER_GIP_R2L2NC_MPC__20150605T094742_V20150622T000000_21000101T000000_B08,S2A_OPER_GIP_R2L2NC_MPC__20150605T094742_V20150622T000000_21000101T000000_B8A,S2A_OPER_GIP_R2L2NC_MPC__20150605T094742_V20150622T000000_21000101T000000_B01,S2A_OPER_GIP_R2L2NC_MPC__20150605T094742_V20150622T000000_21000101T000000_B10,S2A_OPER_GIP_R2L2NC_MPC__20150605T094742_V20150622T000000_21000101T000000_B06,S2A_OPER_GIP_R2L2NC_MPC__20150605T094742_V20150622T000000_21000101T000000_B12,S2A_OPER_GIP_R2L2NC_MPC__20150605T094742_V20150622T000000_21000101T000000_B02,S2A_OPER_GIP_R2L2NC_MPC__20150605T094741_V20150622T000000_21000101T000000_B03,S2A_OPER_GIP_R2NOMO_MPC__20150605T094803_V20150622T000000_21000101T000000_B00,S2A_OPER_GIP_R2PARA_MPC__20221206T000009_V20221206T073000_21000101T000000_B00,S2A_OPER_GIP_R2SWIR_MPC__20180406T000021_V20180604T100000_21000101T000000_B00,S2A_OPER_GIP_R2WAFI_MPC__20150605T094742_V20150622T000000_21000101T000000_B05,S2A_OPER_GIP_R2WAFI_MPC__20150605T094742_V20150622T000000_21000101T000000_B04,S2A_OPER_GIP_R2WAFI_MPC__20150605T094742_V20150622T000000_21000101T000000_B07,S2A_OPER_GIP_R2WAFI_MPC__20150605T094742_V20150622T000000_21000101T000000_B06,S2A_OPER_GIP_R2WAFI_MPC__20150605T094742_V20150622T000000_21000101T000000_B09,S2A_OPER_GIP_R2WAFI_MPC__20150605T094742_V20150622T000000_21000101T000000_B8A,S2A_OPER_GIP_R2WAFI_MPC__20150605T094742_V20150622T000000_21000101T000000_B08,S2A_OPER_GIP_R2WAFI_MPC__20150605T094742_V20150622T000000_21000101T000000_B10,S2A_OPER_GIP_R2WAFI_MPC__20150605T094742_V20150622T000000_21000101T000000_B12,S2A_OPER_GIP_R2WAFI_MPC__20150605T094742_V20150622T000000_21000101T000000_B11,S2A_OPER_GIP_R2WAFI_MPC__20150605T094742_V20150622T000000_21000101T000000_B01,S2A_OPER_GIP_R2WAFI_MPC__20150605T094742_V20150622T000000_21000101T000000_B03,S2A_OPER_GIP_R2WAFI_MPC__20150605T094742_V20150622T000000_21000101T000000_B02,S2A_OPER_GIP_RESPAR_MPC__20150605T094736_V20150622T000000_21000101T000000_B00,S2A_OPER_GIP_SPAMOD_MPC__20231122T110026_V20231123T010000_21000101T000000_B00,S2A_OPER_GIP_TILPAR_MPC__20151209T095117_V20150622T000000_21000101T000000_B00,S2A_OPER_GIP_VIEDIR_MPC__20151117T131050_V20150703T000000_21000101T000000_B05,S2A_OPER_GIP_VIEDIR_MPC__20151117T131048_V20150703T000000_21000101T000000_B01,S2A_OPER_GIP_VIEDIR_MPC__20151117T131049_V20150703T000000_21000101T000000_B02,S2A_OPER_GIP_VIEDIR_MPC__20151117T131050_V20150703T000000_21000101T000000_B8A,S2A_OPER_GIP_VIEDIR_MPC__20151117T131049_V20150703T000000_21000101T000000_B03,S2A_OPER_GIP_VIEDIR_MPC__20151117T131050_V20150703T000000_21000101T000000_B07,S2A_OPER_GIP_VIEDIR_MPC__20151117T131050_V20150703T000000_21000101T000000_B10,S2A_OPER_GIP_VIEDIR_MPC__20151117T131049_V20150703T000000_21000101T000000_B04,S2A_OPER_GIP_VIEDIR_MPC__20151117T131050_V20150703T000000_21000101T000000_B06,S2A_OPER_GIP_VIEDIR_MPC__20151117T131050_V20150703T000000_21000101T000000_B09,S2A_OPER_GIP_VIEDIR_MPC__20151117T131050_V20150703T000000_21000101T000000_B08,S2A_OPER_GIP_VIEDIR_MPC__20151117T131050_V20150703T000000_21000101T000000_B11,S2A_OPER_GIP_VIEDIR_MPC__20151117T131051_V20150703T000000_21000101T000000_B12,S2__OPER_GIP_L2ACSC_MPC__20220121T000003_V20220125T022000_21000101T000000_B00,S2__OPER_GIP_L2ACAC_MPC__20220121T000004_V20220125T022000_21000101T000000_B00,S2__OPER_GIP_PROBA2_MPC__20231208T000510_V20231213T070000_21000101T000000_B00&#x27;, &#x27;used CAMS file names&#x27;: &#x27;S2__OPER_AUX_CAMSFO_ADG__20240101T000000_V20240101T000000_20240103T010000&#x27;, &#x27;used DEM file name&#x27;: &#x27;CopernicusDEM30&#x27;, &#x27;used ECMWF file names&#x27;: &#x27;S2__OPER_AUX_ECMWFD_ADG__20240101T000000_V20240101T090000_20240103T030000&#x27;, &#x27;used ESA CCI land cover map file name&#x27;: &#x27;ESACCI-LC-L4-LCCS-Map-300m-P1Y-2015-v2.0.7.tif&#x27;, &#x27;used ESA CCI snow condition map folder name&#x27;: &#x27;ESACCI-LC-L4-Snow-Cond-500m-MONTHLY-2000-2012-v2.4&#x27;, &#x27;used ESA CCI water bodies map file name&#x27;: &#x27;ESACCI-LC-L4-WB-Map-150m-P13Y-2000-v4.0.tif&#x27;, &#x27;used GRI file name&#x27;: &#x27;S2A_OPER_GRI_MSIL1B_MPC__20160521T184422_S20151114T103133,S2A_OPER_GRI_MSIL1B_MPC__20160531T210152_S20160512T102954,S2A_OPER_GRI_MSIL1B_MPC__20160907T095549_S20160422T103554,S2A_OPER_GRI_MSIL1B_MPC__20161018T120000_S20150826T102633&#x27;, &#x27;used IERS file name&#x27;: &#x27;S2__OPER_AUX_UT1UTC_PDMC_20231230T000000_V20231230T000000_20241229T000000&#x27;, &#x27;used LibRadTran Look-Up Tables list&#x27;: &#x27;None&#x27;, &#x27;used snow climatology map file name&#x27;: &#x27;GlobalSnowMap.tiff&#x27;}, &#x27;organisation&#x27;: &#x27;ESA&#x27;, &#x27;output&#x27;: &#x27;S2MSIL2A_etc&#x27;, &#x27;processor&#x27;: &#x27;Sentinel-2 IPF&#x27;, &#x27;type&#x27;: &#x27;Level-2A Product&#x27;, &#x27;version&#x27;: &#x27;???&#x27;}], &#x27;horizontal_CRS_code&#x27;: &#x27;EPSG:32632&#x27;, &#x27;horizontal_CRS_name&#x27;: &#x27;WGS84 / UTM zone 32N&#x27;, &#x27;mean_sensing_time&#x27;: &#x27;2024-01-01T10:27:45.075597Z&#x27;, &#x27;mean_sun_azimuth_angle_in_deg_for_all_bands_all_detectors&#x27;: 166.26310268032, &#x27;mean_sun_zenith_angle_in_deg_for_all_bands_all_detectors&#x27;: 71.5320434839285, &#x27;mean_value_of_aerosol_optical_thickness&#x27;: 0.049492, &#x27;mean_value_of_total_water_vapour_content&#x27;: 0.465026, &#x27;meteo&#x27;: {&#x27;source&#x27;: &#x27;ECMWF&#x27;, &#x27;type&#x27;: &#x27;FORECAST&#x27;}, &#x27;multispectral_registration_assessment&#x27;: &#x27;N/A&#x27;, &#x27;onboard_compression_flag&#x27;: &#x27;true&#x27;, &#x27;onboard_equalization_flag&#x27;: &#x27;null&#x27;, &#x27;optical_crosstalk_correction_flag&#x27;: &#x27;null&#x27;, &#x27;ozone_source&#x27;: &#x27;AUX_ECMWFT&#x27;, &#x27;ozone_value&#x27;: 345.061736, &#x27;percentage_of_degraded_MSI_data&#x27;: 0.0, &#x27;planimetric_stability_assessment_from_AOCS&#x27;: &#x27;\\n          &#x27;, &#x27;product_quality_status&#x27;: &#x27;PASSED,PASSED,PASSED,PASSED,PASSED,PASSED&#x27;, &#x27;reflectance_correction_factor_from_the_Sun-Earth_distance_variation_computed_using_the_acquisition_date&#x27;: 1.03410745089651, &#x27;spectral_band_of_reference&#x27;: &#x27;N/A&#x27;}</dd><dt><span>stac_discovery :</span></dt><dd>{&#x27;assets&#x27;: {&#x27;analytic&#x27;: {&#x27;eo:bands&#x27;: [{&#x27;center_wavelength&#x27;: 0.4427, &#x27;common_name&#x27;: &#x27;coastal&#x27;, &#x27;full_width_half_max&#x27;: 0.02, &#x27;name&#x27;: &#x27;01&#x27;, &#x27;solar_illumination&#x27;: &#x27;1884.69&#x27;}, {&#x27;center_wavelength&#x27;: 0.49269999999999997, &#x27;common_name&#x27;: &#x27;blue&#x27;, &#x27;full_width_half_max&#x27;: 0.065, &#x27;name&#x27;: &#x27;02&#x27;, &#x27;solar_illumination&#x27;: &#x27;1959.66&#x27;}, {&#x27;center_wavelength&#x27;: 0.5598, &#x27;common_name&#x27;: &#x27;green&#x27;, &#x27;full_width_half_max&#x27;: 0.035, &#x27;name&#x27;: &#x27;03&#x27;, &#x27;solar_illumination&#x27;: &#x27;1823.24&#x27;}, {&#x27;center_wavelength&#x27;: 0.6646000000000001, &#x27;common_name&#x27;: &#x27;red&#x27;, &#x27;full_width_half_max&#x27;: 0.03, &#x27;name&#x27;: &#x27;04&#x27;, &#x27;solar_illumination&#x27;: &#x27;1512.06&#x27;}, {&#x27;center_wavelength&#x27;: 0.7041000000000001, &#x27;full_width_half_max&#x27;: 0.015, &#x27;name&#x27;: &#x27;05&#x27;, &#x27;solar_illumination&#x27;: 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&#x27;full_width_half_max&#x27;: 0.03, &#x27;name&#x27;: &#x27;10&#x27;, &#x27;solar_illumination&#x27;: &#x27;367.15&#x27;}, {&#x27;center_wavelength&#x27;: 1.6137000000000001, &#x27;common_name&#x27;: &#x27;swir16&#x27;, &#x27;full_width_half_max&#x27;: 0.09, &#x27;name&#x27;: &#x27;11&#x27;, &#x27;solar_illumination&#x27;: &#x27;245.59&#x27;}, {&#x27;center_wavelength&#x27;: 2.2024000000000004, &#x27;common_name&#x27;: &#x27;swir22&#x27;, &#x27;full_width_half_max&#x27;: 0.18, &#x27;name&#x27;: &#x27;12&#x27;, &#x27;solar_illumination&#x27;: &#x27;85.25&#x27;}], &#x27;eo:cloud_cover&#x27;: 77.882135, &#x27;eo:snow_cover&#x27;: 11.778179, &#x27;href&#x27;: &#x27;null&#x27;}}, &#x27;bbox&#x27;: [10.453951484713707, 46.85663988190739, 8.999733821898065, 47.61803390438432], &#x27;geometry&#x27;: {&#x27;coordinates&#x27;: [[[8.999733821898065, 47.61803390438432], [9.040713853687311, 47.61157789185866], [9.040874041856954, 47.611996095819045], [9.041231250676285, 47.61194006638127], 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&#x27;b07&#x27;, &#x27;solar_illumination&#x27;: 1162.08}, {&#x27;center_wavelength&#x27;: 832.8, &#x27;common_name&#x27;: &#x27;nir&#x27;, &#x27;full_width_half_max&#x27;: 0.105, &#x27;name&#x27;: &#x27;b08&#x27;, &#x27;solar_illumination&#x27;: 1041.63}, {&#x27;center_wavelength&#x27;: 864.7, &#x27;common_name&#x27;: &#x27;nir08&#x27;, &#x27;full_width_half_max&#x27;: 0.02, &#x27;name&#x27;: &#x27;b8a&#x27;, &#x27;solar_illumination&#x27;: 955.32}, {&#x27;center_wavelength&#x27;: 945.1, &#x27;common_name&#x27;: &#x27;nir09&#x27;, &#x27;full_width_half_max&#x27;: 0.02, &#x27;name&#x27;: &#x27;b09&#x27;, &#x27;solar_illumination&#x27;: 812.92}, {&#x27;center_wavelength&#x27;: 1373.5, &#x27;common_name&#x27;: &#x27;cirrus&#x27;, &#x27;full_width_half_max&#x27;: 0.03, &#x27;name&#x27;: &#x27;b10&#x27;, &#x27;solar_illumination&#x27;: 367.15}, {&#x27;center_wavelength&#x27;: 1613.7, &#x27;common_name&#x27;: &#x27;swir16&#x27;, &#x27;full_width_half_max&#x27;: 0.09, &#x27;name&#x27;: 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&#x27;sat:relative_orbit&#x27;: 65, &#x27;sci:doi&#x27;: &#x27;10.5270/S2_-znk9xsj&#x27;, &#x27;start_datetime&#x27;: &#x27;2024-01-01T10:24:31.024000+00:00&#x27;}, &#x27;stac_extensions&#x27;: [&#x27;https://stac-extensions.github.io/eopf/v1.0.0/schema.json&#x27;, &#x27;https://stac-extensions.github.io/eo/v1.1.0/schema.json&#x27;, &#x27;https://stac-extensions.github.io/sat/v1.0.0/schema.json&#x27;, &#x27;https://stac-extensions.github.io/view/v1.0.0/schema.json&#x27;, &#x27;https://stac-extensions.github.io/scientific/v1.0.0/schema.json&#x27;, &#x27;https://stac-extensions.github.io/processing/v1.2.0/schema.json&#x27;, &#x27;https://stac-extensions.github.io/product/v0.1.0/schema.json&#x27;], &#x27;stac_version&#x27;: &#x27;1.0.0&#x27;, &#x27;type&#x27;: &#x27;Feature&#x27;}</dd></dl></div></li></ul></div></div>"
-      ],
-      "text/plain": [
-       "<xarray.DataTree>\n",
-       "Group: /\n",
-       "│   Attributes:\n",
-       "│       other_metadata:  {'AOT_retrieval_model': 'CAMS', 'L0_ancillary_data_quali...\n",
-       "│       stac_discovery:  {'assets': {'analytic': {'eo:bands': [{'center_wavelengt...\n",
-       "├── Group: /conditions\n",
-       "│   ├── Group: /conditions/geometry\n",
-       "│   │       Dimensions:                        (angle: 2, band: 13, y: 23, x: 23,\n",
-       "│   │                                           detector: 7)\n",
-       "│   │       Coordinates:\n",
-       "│   │         * angle                          (angle) <U7 56B 'zenith' 'azimuth'\n",
-       "│   │         * band                           (band) <U3 156B 'b01' 'b02' ... 'b11' 'b12'\n",
-       "│   │         * detector                       (detector) int64 56B 3 4 5 6 7 8 9\n",
-       "│   │         * x                              (x) int64 184B 499980 504980 ... 609980\n",
-       "│   │         * y                              (y) int64 184B 5300040 5295040 ... 5190040\n",
-       "│   │       Data variables:\n",
-       "│   │           mean_sun_angles                (angle) float64 16B dask.array<chunksize=(2,), meta=np.ndarray>\n",
-       "│   │           mean_viewing_incidence_angles  (band, angle) float64 208B dask.array<chunksize=(13, 2), meta=np.ndarray>\n",
-       "│   │           sun_angles                     (angle, y, x) float64 8kB dask.array<chunksize=(2, 23, 23), meta=np.ndarray>\n",
-       "│   │           viewing_incidence_angles       (band, detector, angle, y, x) float64 770kB dask.array<chunksize=(7, 4, 2, 23, 23), meta=np.ndarray>\n",
-       "│   ├── Group: /conditions/mask\n",
-       "│   │   ├── Group: /conditions/mask/detector_footprint\n",
-       "│   │   │   ├── Group: /conditions/mask/detector_footprint/r10m\n",
-       "│   │   │   │       Dimensions:  (y: 10980, x: 10980)\n",
-       "│   │   │   │       Coordinates:\n",
-       "│   │   │   │         * x        (x) int64 88kB 499985 499995 500005 500015 ... 609755 609765 609775\n",
-       "│   │   │   │         * y        (y) int64 88kB 5300035 5300025 5300015 ... 5190265 5190255 5190245\n",
-       "│   │   │   │       Data variables:\n",
-       "│   │   │   │           b02      (y, x) uint8 121MB dask.array<chunksize=(1830, 1830), meta=np.ndarray>\n",
-       "│   │   │   │           b03      (y, x) uint8 121MB dask.array<chunksize=(1830, 1830), meta=np.ndarray>\n",
-       "│   │   │   │           b04      (y, x) uint8 121MB dask.array<chunksize=(1830, 1830), meta=np.ndarray>\n",
-       "│   │   │   │           b08      (y, x) uint8 121MB dask.array<chunksize=(1830, 1830), meta=np.ndarray>\n",
-       "│   │   │   ├── Group: /conditions/mask/detector_footprint/r20m\n",
-       "│   │   │   │       Dimensions:  (y: 5490, x: 5490)\n",
-       "│   │   │   │       Coordinates:\n",
-       "│   │   │   │         * x        (x) int64 44kB 499990 500010 500030 500050 ... 609730 609750 609770\n",
-       "│   │   │   │         * y        (y) int64 44kB 5300030 5300010 5299990 ... 5190290 5190270 5190250\n",
-       "│   │   │   │       Data variables:\n",
-       "│   │   │   │           b05      (y, x) uint8 30MB dask.array<chunksize=(915, 915), meta=np.ndarray>\n",
-       "│   │   │   │           b06      (y, x) uint8 30MB dask.array<chunksize=(915, 915), meta=np.ndarray>\n",
-       "│   │   │   │           b07      (y, x) uint8 30MB dask.array<chunksize=(915, 915), meta=np.ndarray>\n",
-       "│   │   │   │           b11      (y, x) uint8 30MB dask.array<chunksize=(915, 915), meta=np.ndarray>\n",
-       "│   │   │   │           b12      (y, x) uint8 30MB dask.array<chunksize=(915, 915), meta=np.ndarray>\n",
-       "│   │   │   │           b8a      (y, x) uint8 30MB dask.array<chunksize=(915, 915), meta=np.ndarray>\n",
-       "│   │   │   └── Group: /conditions/mask/detector_footprint/r60m\n",
-       "│   │   │           Dimensions:  (y: 1830, x: 1830)\n",
-       "│   │   │           Coordinates:\n",
-       "│   │   │             * x        (x) int64 15kB 500010 500070 500130 500190 ... 609630 609690 609750\n",
-       "│   │   │             * y        (y) int64 15kB 5300010 5299950 5299890 ... 5190390 5190330 5190270\n",
-       "│   │   │           Data variables:\n",
-       "│   │   │               b01      (y, x) uint8 3MB dask.array<chunksize=(305, 305), meta=np.ndarray>\n",
-       "│   │   │               b09      (y, x) uint8 3MB dask.array<chunksize=(305, 305), meta=np.ndarray>\n",
-       "│   │   │               b10      (y, x) uint8 3MB dask.array<chunksize=(305, 305), meta=np.ndarray>\n",
-       "│   │   ├── Group: /conditions/mask/l1c_classification\n",
-       "│   │   │   └── Group: /conditions/mask/l1c_classification/r60m\n",
-       "│   │   │           Dimensions:  (y: 1830, x: 1830)\n",
-       "│   │   │           Coordinates:\n",
-       "│   │   │             * x        (x) int64 15kB 500010 500070 500130 500190 ... 609630 609690 609750\n",
-       "│   │   │             * y        (y) int64 15kB 5300010 5299950 5299890 ... 5190390 5190330 5190270\n",
-       "│   │   │           Data variables:\n",
-       "│   │   │               b00      (y, x) uint8 3MB dask.array<chunksize=(305, 305), meta=np.ndarray>\n",
-       "│   │   └── Group: /conditions/mask/l2a_classification\n",
-       "│   │       ├── Group: /conditions/mask/l2a_classification/r20m\n",
-       "│   │       │       Dimensions:  (y: 5490, x: 5490)\n",
-       "│   │       │       Coordinates:\n",
-       "│   │       │         * x        (x) int64 44kB 499990 500010 500030 500050 ... 609730 609750 609770\n",
-       "│   │       │         * y        (y) int64 44kB 5300030 5300010 5299990 ... 5190290 5190270 5190250\n",
-       "│   │       │       Data variables:\n",
-       "│   │       │           scl      (y, x) uint8 30MB dask.array<chunksize=(915, 915), meta=np.ndarray>\n",
-       "│   │       └── Group: /conditions/mask/l2a_classification/r60m\n",
-       "│   │               Dimensions:  (y: 1830, x: 1830)\n",
-       "│   │               Coordinates:\n",
-       "│   │                 * x        (x) int64 15kB 500010 500070 500130 500190 ... 609630 609690 609750\n",
-       "│   │                 * y        (y) int64 15kB 5300010 5299950 5299890 ... 5190390 5190330 5190270\n",
-       "│   │               Data variables:\n",
-       "│   │                   scl      (y, x) uint8 3MB dask.array<chunksize=(305, 305), meta=np.ndarray>\n",
-       "│   └── Group: /conditions/meteorology\n",
-       "│       ├── Group: /conditions/meteorology/cams\n",
-       "│       │       Dimensions:        (latitude: 9, longitude: 9)\n",
-       "│       │       Coordinates:\n",
-       "│       │           isobaricInhPa  float64 8B ...\n",
-       "│       │         * latitude       (latitude) float64 72B 47.85 47.73 47.6 ... 47.1 46.98 46.86\n",
-       "│       │         * longitude      (longitude) float64 72B 9.0 9.18 9.36 ... 10.08 10.26 10.44\n",
-       "│       │           number         int64 8B ...\n",
-       "│       │           step           int64 8B ...\n",
-       "│       │           surface        float64 8B ...\n",
-       "│       │           time           datetime64[ns] 8B ...\n",
-       "│       │           valid_time     datetime64[ns] 8B ...\n",
-       "│       │       Data variables:\n",
-       "│       │           aod1240        (latitude, longitude) float32 324B dask.array<chunksize=(9, 9), meta=np.ndarray>\n",
-       "│       │           aod469         (latitude, longitude) float32 324B dask.array<chunksize=(9, 9), meta=np.ndarray>\n",
-       "│       │           aod550         (latitude, longitude) float32 324B dask.array<chunksize=(9, 9), meta=np.ndarray>\n",
-       "│       │           aod670         (latitude, longitude) float32 324B dask.array<chunksize=(9, 9), meta=np.ndarray>\n",
-       "│       │           aod865         (latitude, longitude) float32 324B dask.array<chunksize=(9, 9), meta=np.ndarray>\n",
-       "│       │           bcaod550       (latitude, longitude) float32 324B dask.array<chunksize=(9, 9), meta=np.ndarray>\n",
-       "│       │           duaod550       (latitude, longitude) float32 324B dask.array<chunksize=(9, 9), meta=np.ndarray>\n",
-       "│       │           omaod550       (latitude, longitude) float32 324B dask.array<chunksize=(9, 9), meta=np.ndarray>\n",
-       "│       │           ssaod550       (latitude, longitude) float32 324B dask.array<chunksize=(9, 9), meta=np.ndarray>\n",
-       "│       │           suaod550       (latitude, longitude) float32 324B dask.array<chunksize=(9, 9), meta=np.ndarray>\n",
-       "│       │           z              (latitude, longitude) float32 324B dask.array<chunksize=(9, 9), meta=np.ndarray>\n",
-       "│       │       Attributes:\n",
-       "│       │           Conventions:             CF-1.7\n",
-       "│       │           GRIB_centre:             ecmf\n",
-       "│       │           GRIB_centreDescription:  European Centre for Medium-Range Weather Forecasts\n",
-       "│       │           GRIB_edition:            1\n",
-       "│       │           GRIB_subCentre:          0\n",
-       "│       │           history:                 2025-02-27T09:49 GRIB to CDM+CF via cfgrib-0.9.1...\n",
-       "│       │           institution:             European Centre for Medium-Range Weather Forecasts\n",
-       "│       └── Group: /conditions/meteorology/ecmwf\n",
-       "│               Dimensions:        (latitude: 9, longitude: 9)\n",
-       "│               Coordinates:\n",
-       "│                   isobaricInhPa  float64 8B ...\n",
-       "│                 * latitude       (latitude) float64 72B 47.85 47.73 47.6 ... 47.1 46.98 46.86\n",
-       "│                 * longitude      (longitude) float64 72B 9.0 9.18 9.36 ... 10.08 10.26 10.44\n",
-       "│                   number         int64 8B ...\n",
-       "│                   step           int64 8B ...\n",
-       "│                   surface        float64 8B ...\n",
-       "│                   time           datetime64[ns] 8B ...\n",
-       "│                   valid_time     datetime64[ns] 8B ...\n",
-       "│               Data variables:\n",
-       "│                   msl            (latitude, longitude) float32 324B dask.array<chunksize=(9, 9), meta=np.ndarray>\n",
-       "│                   r              (latitude, longitude) float32 324B dask.array<chunksize=(9, 9), meta=np.ndarray>\n",
-       "│                   tco3           (latitude, longitude) float32 324B dask.array<chunksize=(9, 9), meta=np.ndarray>\n",
-       "│                   tcwv           (latitude, longitude) float32 324B dask.array<chunksize=(9, 9), meta=np.ndarray>\n",
-       "│                   u10            (latitude, longitude) float32 324B dask.array<chunksize=(9, 9), meta=np.ndarray>\n",
-       "│                   v10            (latitude, longitude) float32 324B dask.array<chunksize=(9, 9), meta=np.ndarray>\n",
-       "│               Attributes:\n",
-       "│                   Conventions:             CF-1.7\n",
-       "│                   GRIB_centre:             ecmf\n",
-       "│                   GRIB_centreDescription:  European Centre for Medium-Range Weather Forecasts\n",
-       "│                   GRIB_edition:            1\n",
-       "│                   GRIB_subCentre:          0\n",
-       "│                   history:                 2025-02-27T09:49 GRIB to CDM+CF via cfgrib-0.9.1...\n",
-       "│                   institution:             European Centre for Medium-Range Weather Forecasts\n",
-       "├── Group: /measurements\n",
-       "│   └── Group: /measurements/reflectance\n",
-       "│       ├── Group: /measurements/reflectance/r10m\n",
-       "│       │       Dimensions:  (y: 10980, x: 10980)\n",
-       "│       │       Coordinates:\n",
-       "│       │         * x        (x) int64 88kB 499985 499995 500005 500015 ... 609755 609765 609775\n",
-       "│       │         * y        (y) int64 88kB 5300035 5300025 5300015 ... 5190265 5190255 5190245\n",
-       "│       │       Data variables:\n",
-       "│       │           b02      (y, x) float64 964MB dask.array<chunksize=(1830, 1830), meta=np.ndarray>\n",
-       "│       │           b03      (y, x) float64 964MB dask.array<chunksize=(1830, 1830), meta=np.ndarray>\n",
-       "│       │           b04      (y, x) float64 964MB dask.array<chunksize=(1830, 1830), meta=np.ndarray>\n",
-       "│       │           b08      (y, x) float64 964MB dask.array<chunksize=(1830, 1830), meta=np.ndarray>\n",
-       "│       ├── Group: /measurements/reflectance/r20m\n",
-       "│       │       Dimensions:  (y: 5490, x: 5490)\n",
-       "│       │       Coordinates:\n",
-       "│       │         * x        (x) int64 44kB 499990 500010 500030 500050 ... 609730 609750 609770\n",
-       "│       │         * y        (y) int64 44kB 5300030 5300010 5299990 ... 5190290 5190270 5190250\n",
-       "│       │       Data variables:\n",
-       "│       │           b01      (y, x) float64 241MB dask.array<chunksize=(915, 915), meta=np.ndarray>\n",
-       "│       │           b02      (y, x) float64 241MB dask.array<chunksize=(915, 915), meta=np.ndarray>\n",
-       "│       │           b03      (y, x) float64 241MB dask.array<chunksize=(915, 915), meta=np.ndarray>\n",
-       "│       │           b04      (y, x) float64 241MB dask.array<chunksize=(915, 915), meta=np.ndarray>\n",
-       "│       │           b05      (y, x) float64 241MB dask.array<chunksize=(915, 915), meta=np.ndarray>\n",
-       "│       │           b06      (y, x) float64 241MB dask.array<chunksize=(915, 915), meta=np.ndarray>\n",
-       "│       │           b07      (y, x) float64 241MB dask.array<chunksize=(915, 915), meta=np.ndarray>\n",
-       "│       │           b11      (y, x) float64 241MB dask.array<chunksize=(915, 915), meta=np.ndarray>\n",
-       "│       │           b12      (y, x) float64 241MB dask.array<chunksize=(915, 915), meta=np.ndarray>\n",
-       "│       │           b8a      (y, x) float64 241MB dask.array<chunksize=(915, 915), meta=np.ndarray>\n",
-       "│       └── Group: /measurements/reflectance/r60m\n",
-       "│               Dimensions:  (y: 1830, x: 1830)\n",
-       "│               Coordinates:\n",
-       "│                 * x        (x) int64 15kB 500010 500070 500130 500190 ... 609630 609690 609750\n",
-       "│                 * y        (y) int64 15kB 5300010 5299950 5299890 ... 5190390 5190330 5190270\n",
-       "│               Data variables:\n",
-       "│                   b01      (y, x) float64 27MB dask.array<chunksize=(305, 305), meta=np.ndarray>\n",
-       "│                   b02      (y, x) float64 27MB dask.array<chunksize=(305, 305), meta=np.ndarray>\n",
-       "│                   b03      (y, x) float64 27MB dask.array<chunksize=(305, 305), meta=np.ndarray>\n",
-       "│                   b04      (y, x) float64 27MB dask.array<chunksize=(305, 305), meta=np.ndarray>\n",
-       "│                   b05      (y, x) float64 27MB dask.array<chunksize=(305, 305), meta=np.ndarray>\n",
-       "│                   b06      (y, x) float64 27MB dask.array<chunksize=(305, 305), meta=np.ndarray>\n",
-       "│                   b07      (y, x) float64 27MB dask.array<chunksize=(305, 305), meta=np.ndarray>\n",
-       "│                   b09      (y, x) float64 27MB dask.array<chunksize=(305, 305), meta=np.ndarray>\n",
-       "│                   b11      (y, x) float64 27MB dask.array<chunksize=(305, 305), meta=np.ndarray>\n",
-       "│                   b12      (y, x) float64 27MB dask.array<chunksize=(305, 305), meta=np.ndarray>\n",
-       "│                   b8a      (y, x) float64 27MB dask.array<chunksize=(305, 305), meta=np.ndarray>\n",
-       "└── Group: /quality\n",
-       "    ├── Group: /quality/atmosphere\n",
-       "    │   ├── Group: /quality/atmosphere/r10m\n",
-       "    │   │       Dimensions:  (y: 10980, x: 10980)\n",
-       "    │   │       Coordinates:\n",
-       "    │   │         * x        (x) int64 88kB 499985 499995 500005 500015 ... 609755 609765 609775\n",
-       "    │   │         * y        (y) int64 88kB 5300035 5300025 5300015 ... 5190265 5190255 5190245\n",
-       "    │   │       Data variables:\n",
-       "    │   │           aot      (y, x) uint16 241MB dask.array<chunksize=(1830, 1830), meta=np.ndarray>\n",
-       "    │   │           wvp      (y, x) uint16 241MB dask.array<chunksize=(1830, 1830), meta=np.ndarray>\n",
-       "    │   ├── Group: /quality/atmosphere/r20m\n",
-       "    │   │       Dimensions:  (y: 5490, x: 5490)\n",
-       "    │   │       Coordinates:\n",
-       "    │   │         * x        (x) int64 44kB 499990 500010 500030 500050 ... 609730 609750 609770\n",
-       "    │   │         * y        (y) int64 44kB 5300030 5300010 5299990 ... 5190290 5190270 5190250\n",
-       "    │   │       Data variables:\n",
-       "    │   │           aot      (y, x) uint16 60MB dask.array<chunksize=(915, 915), meta=np.ndarray>\n",
-       "    │   │           wvp      (y, x) uint16 60MB dask.array<chunksize=(915, 915), meta=np.ndarray>\n",
-       "    │   └── Group: /quality/atmosphere/r60m\n",
-       "    │           Dimensions:  (y: 1830, x: 1830)\n",
-       "    │           Coordinates:\n",
-       "    │             * x        (x) int64 15kB 500010 500070 500130 500190 ... 609630 609690 609750\n",
-       "    │             * y        (y) int64 15kB 5300010 5299950 5299890 ... 5190390 5190330 5190270\n",
-       "    │           Data variables:\n",
-       "    │               aot      (y, x) uint16 7MB dask.array<chunksize=(305, 305), meta=np.ndarray>\n",
-       "    │               wvp      (y, x) uint16 7MB dask.array<chunksize=(305, 305), meta=np.ndarray>\n",
-       "    ├── Group: /quality/l2a_quicklook\n",
-       "    │   ├── Group: /quality/l2a_quicklook/r10m\n",
-       "    │   │       Dimensions:  (band: 3, y: 10980, x: 10980)\n",
-       "    │   │       Coordinates:\n",
-       "    │   │         * band     (band) int64 24B 1 2 3\n",
-       "    │   │         * x        (x) int64 88kB 499985 499995 500005 500015 ... 609755 609765 609775\n",
-       "    │   │         * y        (y) int64 88kB 5300035 5300025 5300015 ... 5190265 5190255 5190245\n",
-       "    │   │       Data variables:\n",
-       "    │   │           tci      (band, y, x) uint8 362MB dask.array<chunksize=(1, 1830, 1830), meta=np.ndarray>\n",
-       "    │   ├── Group: /quality/l2a_quicklook/r20m\n",
-       "    │   │       Dimensions:  (band: 3, y: 5490, x: 5490)\n",
-       "    │   │       Coordinates:\n",
-       "    │   │         * band     (band) int64 24B 1 2 3\n",
-       "    │   │         * x        (x) int64 44kB 499990 500010 500030 500050 ... 609730 609750 609770\n",
-       "    │   │         * y        (y) int64 44kB 5300030 5300010 5299990 ... 5190290 5190270 5190250\n",
-       "    │   │       Data variables:\n",
-       "    │   │           tci      (band, y, x) uint8 90MB dask.array<chunksize=(1, 915, 915), meta=np.ndarray>\n",
-       "    │   └── Group: /quality/l2a_quicklook/r60m\n",
-       "    │           Dimensions:  (band: 3, y: 1830, x: 1830)\n",
-       "    │           Coordinates:\n",
-       "    │             * band     (band) int64 24B 1 2 3\n",
-       "    │             * x        (x) int64 15kB 500010 500070 500130 500190 ... 609630 609690 609750\n",
-       "    │             * y        (y) int64 15kB 5300010 5299950 5299890 ... 5190390 5190330 5190270\n",
-       "    │           Data variables:\n",
-       "    │               tci      (band, y, x) uint8 10MB dask.array<chunksize=(1, 305, 305), meta=np.ndarray>\n",
-       "    ├── Group: /quality/mask\n",
-       "    │   ├── Group: /quality/mask/r10m\n",
-       "    │   │       Dimensions:  (y: 10980, x: 10980)\n",
-       "    │   │       Coordinates:\n",
-       "    │   │         * x        (x) int64 88kB 499985 499995 500005 500015 ... 609755 609765 609775\n",
-       "    │   │         * y        (y) int64 88kB 5300035 5300025 5300015 ... 5190265 5190255 5190245\n",
-       "    │   │       Data variables:\n",
-       "    │   │           b02      (y, x) uint8 121MB dask.array<chunksize=(1830, 1830), meta=np.ndarray>\n",
-       "    │   │           b03      (y, x) uint8 121MB dask.array<chunksize=(1830, 1830), meta=np.ndarray>\n",
-       "    │   │           b04      (y, x) uint8 121MB dask.array<chunksize=(1830, 1830), meta=np.ndarray>\n",
-       "    │   │           b08      (y, x) uint8 121MB dask.array<chunksize=(1830, 1830), meta=np.ndarray>\n",
-       "    │   ├── Group: /quality/mask/r20m\n",
-       "    │   │       Dimensions:  (y: 5490, x: 5490)\n",
-       "    │   │       Coordinates:\n",
-       "    │   │         * x        (x) int64 44kB 499990 500010 500030 500050 ... 609730 609750 609770\n",
-       "    │   │         * y        (y) int64 44kB 5300030 5300010 5299990 ... 5190290 5190270 5190250\n",
-       "    │   │       Data variables:\n",
-       "    │   │           b05      (y, x) uint8 30MB dask.array<chunksize=(915, 915), meta=np.ndarray>\n",
-       "    │   │           b06      (y, x) uint8 30MB dask.array<chunksize=(915, 915), meta=np.ndarray>\n",
-       "    │   │           b07      (y, x) uint8 30MB dask.array<chunksize=(915, 915), meta=np.ndarray>\n",
-       "    │   │           b11      (y, x) uint8 30MB dask.array<chunksize=(915, 915), meta=np.ndarray>\n",
-       "    │   │           b12      (y, x) uint8 30MB dask.array<chunksize=(915, 915), meta=np.ndarray>\n",
-       "    │   │           b8a      (y, x) uint8 30MB dask.array<chunksize=(915, 915), meta=np.ndarray>\n",
-       "    │   └── Group: /quality/mask/r60m\n",
-       "    │           Dimensions:  (y: 1830, x: 1830)\n",
-       "    │           Coordinates:\n",
-       "    │             * x        (x) int64 15kB 500010 500070 500130 500190 ... 609630 609690 609750\n",
-       "    │             * y        (y) int64 15kB 5300010 5299950 5299890 ... 5190390 5190330 5190270\n",
-       "    │           Data variables:\n",
-       "    │               b01      (y, x) uint8 3MB dask.array<chunksize=(305, 305), meta=np.ndarray>\n",
-       "    │               b09      (y, x) uint8 3MB dask.array<chunksize=(305, 305), meta=np.ndarray>\n",
-       "    │               b10      (y, x) uint8 3MB dask.array<chunksize=(305, 305), meta=np.ndarray>\n",
-       "    └── Group: /quality/probability\n",
-       "        └── Group: /quality/probability/r20m\n",
-       "                Dimensions:  (y: 5490, x: 5490)\n",
-       "                Coordinates:\n",
-       "                    band     int64 8B ...\n",
-       "                  * x        (x) int64 44kB 499990 500010 500030 500050 ... 609730 609750 609770\n",
-       "                  * y        (y) int64 44kB 5300030 5300010 5299990 ... 5190290 5190270 5190250\n",
-       "                Data variables:\n",
-       "                    cld      (y, x) uint8 30MB dask.array<chunksize=(915, 915), meta=np.ndarray>\n",
-       "                    snw      (y, x) uint8 30MB dask.array<chunksize=(915, 915), meta=np.ndarray>"
-      ]
-     },
-     "execution_count": 3,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "dt = xr.open_datatree(path, engine=\"eopf-zarr\", op_mode=\"native\", chunks={})\n",
-    "dt"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 4,
-   "id": "990504ab-2245-423d-8f46-3158ebf76ff9",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
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+       "    *empty*</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>probability</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-39019a98-10b6-463f-82e0-98fd29998462' class='xr-section-summary-in' type='checkbox'  ><label for='section-39019a98-10b6-463f-82e0-98fd29998462' class='xr-section-summary' >Groups: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><div style='display: inline-grid; grid-template-columns: 100%; grid-column: 1 / -1'><div style='display: inline-grid; grid-template-columns: 0px 20px auto; width: 100%;'><div style='grid-column-start: 1;border-right: 0.2em solid;border-color: var(--xr-border-color);height: 1.2em;width: 0px;'></div><div style='grid-column-start: 2;grid-row-start: 1;height: 1em;width: 20px;border-bottom: 0.2em solid;border-color: var(--xr-border-color);'></div><div style='grid-column-start: 3;'><div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
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@@ -41957,146 +40165,16 @@
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        "}\n",
-       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DatasetView&gt; Size: 4GB\n",
-       "Dimensions:  (y: 10980, x: 10980)\n",
+       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DatasetView&gt; Size: 60MB\n",
+       "Dimensions:  (y: 5490, x: 5490)\n",
        "Coordinates:\n",
-       "  * x        (x) int64 88kB 499985 499995 500005 500015 ... 609755 609765 609775\n",
-       "  * y        (y) int64 88kB 5300035 5300025 5300015 ... 5190265 5190255 5190245\n",
+       "    band     int64 8B ...\n",
+       "  * x        (x) int64 44kB 499990 500010 500030 500050 ... 609730 609750 609770\n",
+       "  * y        (y) int64 44kB 8000030 8000010 7999990 ... 7890290 7890270 7890250\n",
        "Data variables:\n",
-       "    b02      (y, x) float64 964MB dask.array&lt;chunksize=(1830, 1830), meta=np.ndarray&gt;\n",
-       "    b03      (y, x) float64 964MB dask.array&lt;chunksize=(1830, 1830), meta=np.ndarray&gt;\n",
-       "    b04      (y, x) float64 964MB dask.array&lt;chunksize=(1830, 1830), meta=np.ndarray&gt;\n",
-       "    b08      (y, x) float64 964MB dask.array&lt;chunksize=(1830, 1830), meta=np.ndarray&gt;</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DatasetView</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-ff8648c7-e429-4dde-986a-f08946d4912e' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-ff8648c7-e429-4dde-986a-f08946d4912e' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>y</span>: 10980</li><li><span class='xr-has-index'>x</span>: 10980</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-f9dd0ed1-42fc-46eb-844b-c1fc412ac3da' class='xr-section-summary-in' type='checkbox'  checked><label for='section-f9dd0ed1-42fc-46eb-844b-c1fc412ac3da' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>499985 499995 ... 609765 609775</div><input id='attrs-290929fd-54a6-41a4-ac7b-ac620045ba75' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-290929fd-54a6-41a4-ac7b-ac620045ba75' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-17f8fb4d-ab64-4e3c-9449-a87c6bacecfe' class='xr-var-data-in' type='checkbox'><label for='data-17f8fb4d-ab64-4e3c-9449-a87c6bacecfe' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([499985, 499995, 500005, ..., 609755, 609765, 609775])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>5300035 5300025 ... 5190255 5190245</div><input id='attrs-e9b5c441-f7dd-42d8-8338-daf0e87794b4' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-e9b5c441-f7dd-42d8-8338-daf0e87794b4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4c8aa81c-1f0d-4368-a884-a990ac66d461' class='xr-var-data-in' type='checkbox'><label for='data-4c8aa81c-1f0d-4368-a884-a990ac66d461' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([5300035, 5300025, 5300015, ..., 5190265, 5190255, 5190245])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-47cdba70-3834-4df5-825b-4ece0aadb054' class='xr-section-summary-in' type='checkbox'  checked><label for='section-47cdba70-3834-4df5-825b-4ece0aadb054' class='xr-section-summary' >Data variables: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>b02</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1830, 1830), meta=np.ndarray&gt;</div><input id='attrs-c024eb8d-c849-4d45-b11c-f25be43f1626' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c024eb8d-c849-4d45-b11c-f25be43f1626' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6a903623-f788-4e53-b6fa-05f0fe1b0cd4' class='xr-var-data-in' type='checkbox'><label for='data-6a903623-f788-4e53-b6fa-05f0fe1b0cd4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;add_offset&#x27;: -0.1, &#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;fill_value&#x27;: 0, &#x27;scale_factor&#x27;: 0.0001, &#x27;units&#x27;: &#x27;digital_counts&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u2</dd><dt><span>fill_value :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>BOA reflectance from MSI acquisition at spectral band b02 492.7 nm</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 5190240.0, 609780.0, 5300040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32632</dd><dt><span>proj:shape :</span></dt><dd>[10980, 10980]</dd><dt><span>proj:transform :</span></dt><dd>[10.0, 0.0, 499980.0, 0.0, -10.0, 5300040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 32N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,9],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32632&quot;]]</dd><dt><span>units :</span></dt><dd>digital_counts</dd><dt><span>valid_max :</span></dt><dd>65535</dd><dt><span>valid_min :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><table>\n",
-       "    <tr>\n",
-       "        <td>\n",
-       "            <table style=\"border-collapse: collapse;\">\n",
-       "                <thead>\n",
-       "                    <tr>\n",
-       "                        <td> </td>\n",
-       "                        <th> Array </th>\n",
-       "                        <th> Chunk </th>\n",
-       "                    </tr>\n",
-       "                </thead>\n",
-       "                <tbody>\n",
-       "                    \n",
-       "                    <tr>\n",
-       "                        <th> Bytes </th>\n",
-       "                        <td> 919.80 MiB </td>\n",
-       "                        <td> 25.55 MiB </td>\n",
-       "                    </tr>\n",
-       "                    \n",
-       "                    <tr>\n",
-       "                        <th> Shape </th>\n",
-       "                        <td> (10980, 10980) </td>\n",
-       "                        <td> (1830, 1830) </td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th> Dask graph </th>\n",
-       "                        <td colspan=\"2\"> 36 chunks in 2 graph layers </td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th> Data type </th>\n",
-       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
-       "                    </tr>\n",
-       "                </tbody>\n",
-       "            </table>\n",
-       "        </td>\n",
-       "        <td>\n",
-       "        <svg width=\"170\" height=\"170\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
-       "\n",
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-       "  <text x=\"60.000000\" y=\"140.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >10980</text>\n",
-       "  <text x=\"140.000000\" y=\"60.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,140.000000,60.000000)\">10980</text>\n",
-       "</svg>\n",
-       "        </td>\n",
-       "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b03</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1830, 1830), meta=np.ndarray&gt;</div><input id='attrs-9cd900ca-4537-4837-ac3f-2aa78a0eff2c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9cd900ca-4537-4837-ac3f-2aa78a0eff2c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c28a5079-7450-415a-a00e-279f13987560' class='xr-var-data-in' type='checkbox'><label for='data-c28a5079-7450-415a-a00e-279f13987560' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;add_offset&#x27;: -0.1, &#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;fill_value&#x27;: 0, &#x27;scale_factor&#x27;: 0.0001, &#x27;units&#x27;: &#x27;digital_counts&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u2</dd><dt><span>fill_value :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>BOA reflectance from MSI acquisition at spectral band b03 559.8 nm</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 5190240.0, 609780.0, 5300040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32632</dd><dt><span>proj:shape :</span></dt><dd>[10980, 10980]</dd><dt><span>proj:transform :</span></dt><dd>[10.0, 0.0, 499980.0, 0.0, -10.0, 5300040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 32N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,9],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32632&quot;]]</dd><dt><span>units :</span></dt><dd>digital_counts</dd><dt><span>valid_max :</span></dt><dd>65535</dd><dt><span>valid_min :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><table>\n",
-       "    <tr>\n",
-       "        <td>\n",
-       "            <table style=\"border-collapse: collapse;\">\n",
-       "                <thead>\n",
-       "                    <tr>\n",
-       "                        <td> </td>\n",
-       "                        <th> Array </th>\n",
-       "                        <th> Chunk </th>\n",
-       "                    </tr>\n",
-       "                </thead>\n",
-       "                <tbody>\n",
-       "                    \n",
-       "                    <tr>\n",
-       "                        <th> Bytes </th>\n",
-       "                        <td> 919.80 MiB </td>\n",
-       "                        <td> 25.55 MiB </td>\n",
-       "                    </tr>\n",
-       "                    \n",
-       "                    <tr>\n",
-       "                        <th> Shape </th>\n",
-       "                        <td> (10980, 10980) </td>\n",
-       "                        <td> (1830, 1830) </td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th> Dask graph </th>\n",
-       "                        <td colspan=\"2\"> 36 chunks in 2 graph layers </td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th> Data type </th>\n",
-       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
-       "                    </tr>\n",
-       "                </tbody>\n",
-       "            </table>\n",
-       "        </td>\n",
-       "        <td>\n",
-       "        <svg width=\"170\" height=\"170\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
-       "\n",
-       "  <!-- Horizontal lines -->\n",
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-       "  <line x1=\"40\" y1=\"0\" x2=\"40\" y2=\"120\" />\n",
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-       "  <text x=\"140.000000\" y=\"60.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,140.000000,60.000000)\">10980</text>\n",
-       "</svg>\n",
-       "        </td>\n",
-       "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b04</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1830, 1830), meta=np.ndarray&gt;</div><input id='attrs-cc7fd047-5ef5-47b5-8752-e8be9d72a214' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cc7fd047-5ef5-47b5-8752-e8be9d72a214' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d6518c7b-ce17-487c-b862-9cbe2e0576e4' class='xr-var-data-in' type='checkbox'><label for='data-d6518c7b-ce17-487c-b862-9cbe2e0576e4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;add_offset&#x27;: -0.1, &#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;fill_value&#x27;: 0, &#x27;scale_factor&#x27;: 0.0001, &#x27;units&#x27;: &#x27;digital_counts&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u2</dd><dt><span>fill_value :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>BOA reflectance from MSI acquisition at spectral band b04 664.6 nm</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 5190240.0, 609780.0, 5300040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32632</dd><dt><span>proj:shape :</span></dt><dd>[10980, 10980]</dd><dt><span>proj:transform :</span></dt><dd>[10.0, 0.0, 499980.0, 0.0, -10.0, 5300040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 32N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,9],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32632&quot;]]</dd><dt><span>units :</span></dt><dd>digital_counts</dd><dt><span>valid_max :</span></dt><dd>65535</dd><dt><span>valid_min :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    cld      (y, x) uint8 30MB dask.array&lt;chunksize=(915, 915), meta=np.ndarray&gt;\n",
+       "    snw      (y, x) uint8 30MB dask.array&lt;chunksize=(915, 915), meta=np.ndarray&gt;</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>r20m</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-b31c4e38-7bc0-4114-97be-fb31f891c222' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-b31c4e38-7bc0-4114-97be-fb31f891c222' class='xr-section-summary'  title='Expand/collapse section'>Groups: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><div style='display: inline-grid; grid-template-columns: 100%; grid-column: 1 / -1'></div></div></li><li class='xr-section-item'><input id='section-0b4fc6fb-82ff-4698-837e-277d44383638' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-0b4fc6fb-82ff-4698-837e-277d44383638' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>y</span>: 5490</li><li><span class='xr-has-index'>x</span>: 5490</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-2c69202c-23c9-4505-92e9-791ceda23898' class='xr-section-summary-in' type='checkbox'  checked><label for='section-2c69202c-23c9-4505-92e9-791ceda23898' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>band</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-c41608fb-761b-4d69-9290-4aae9cc2fe33' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-c41608fb-761b-4d69-9290-4aae9cc2fe33' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b0b1c24a-7a1a-41a4-8319-28be1afa8415' class='xr-var-data-in' type='checkbox'><label for='data-b0b1c24a-7a1a-41a4-8319-28be1afa8415' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=int64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>499990 500010 ... 609750 609770</div><input id='attrs-1fa970c4-fd85-4f85-86a3-dc48ca3174e3' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-1fa970c4-fd85-4f85-86a3-dc48ca3174e3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cfb78ec1-73c1-4a83-ba9b-5391a325ec67' class='xr-var-data-in' type='checkbox'><label for='data-cfb78ec1-73c1-4a83-ba9b-5391a325ec67' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([499990, 500010, 500030, ..., 609730, 609750, 609770], shape=(5490,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>8000030 8000010 ... 7890270 7890250</div><input id='attrs-0ea7df67-4db5-4811-a2c6-a1ffcc1c8b12' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-0ea7df67-4db5-4811-a2c6-a1ffcc1c8b12' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1c8cc199-66a3-4154-bb76-4c4485c55f28' class='xr-var-data-in' type='checkbox'><label for='data-1c8cc199-66a3-4154-bb76-4c4485c55f28' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([8000030, 8000010, 7999990, ..., 7890290, 7890270, 7890250],\n",
+       "      shape=(5490,))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-c0c498b5-bafa-4ec1-9d16-c13b48fd5baa' class='xr-section-summary-in' type='checkbox'  checked><label for='section-c0c498b5-bafa-4ec1-9d16-c13b48fd5baa' class='xr-section-summary' >Data variables: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>cld</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(915, 915), meta=np.ndarray&gt;</div><input id='attrs-6728e55a-6588-43a3-986d-bdfc74358e6e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6728e55a-6588-43a3-986d-bdfc74358e6e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6786933e-625e-4a83-b439-36a1da2a67fc' class='xr-var-data-in' type='checkbox'><label for='data-6786933e-625e-4a83-b439-36a1da2a67fc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;band&#x27;, &#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;]}</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 7890240.0, 609780.0, 8000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32625</dd><dt><span>proj:shape :</span></dt><dd>[5490, 5490]</dd><dt><span>proj:transform :</span></dt><dd>[20.0, 0.0, 499980.0, 0.0, -20.0, 8000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 25N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,-33],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32625&quot;]]</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -42111,14 +40189,14 @@
        "                    \n",
        "                    <tr>\n",
        "                        <th> Bytes </th>\n",
-       "                        <td> 919.80 MiB </td>\n",
-       "                        <td> 25.55 MiB </td>\n",
+       "                        <td> 28.74 MiB </td>\n",
+       "                        <td> 817.60 kiB </td>\n",
        "                    </tr>\n",
        "                    \n",
        "                    <tr>\n",
        "                        <th> Shape </th>\n",
-       "                        <td> (10980, 10980) </td>\n",
-       "                        <td> (1830, 1830) </td>\n",
+       "                        <td> (5490, 5490) </td>\n",
+       "                        <td> (915, 915) </td>\n",
        "                    </tr>\n",
        "                    <tr>\n",
        "                        <th> Dask graph </th>\n",
@@ -42126,7 +40204,7 @@
        "                    </tr>\n",
        "                    <tr>\n",
        "                        <th> Data type </th>\n",
-       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
+       "                        <td colspan=\"2\"> uint8 numpy.ndarray </td>\n",
        "                    </tr>\n",
        "                </tbody>\n",
        "            </table>\n",
@@ -42156,12 +40234,12 @@
        "  <polygon points=\"0.0,0.0 120.0,0.0 120.0,120.0 0.0,120.0\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
        "\n",
        "  <!-- Text -->\n",
-       "  <text x=\"60.000000\" y=\"140.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >10980</text>\n",
-       "  <text x=\"140.000000\" y=\"60.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,140.000000,60.000000)\">10980</text>\n",
+       "  <text x=\"60.000000\" y=\"140.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >5490</text>\n",
+       "  <text x=\"140.000000\" y=\"60.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,140.000000,60.000000)\">5490</text>\n",
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b08</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1830, 1830), meta=np.ndarray&gt;</div><input id='attrs-5f6c6e68-94c2-49da-b74b-094b6e767de2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5f6c6e68-94c2-49da-b74b-094b6e767de2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-903216ff-f673-4985-8f7c-5019a5bfddc5' class='xr-var-data-in' type='checkbox'><label for='data-903216ff-f673-4985-8f7c-5019a5bfddc5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;add_offset&#x27;: -0.1, &#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;fill_value&#x27;: 0, &#x27;scale_factor&#x27;: 0.0001, &#x27;units&#x27;: &#x27;digital_counts&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u2</dd><dt><span>fill_value :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>BOA reflectance from MSI acquisition at spectral band b08 832.8 nm</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 5190240.0, 609780.0, 5300040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32632</dd><dt><span>proj:shape :</span></dt><dd>[10980, 10980]</dd><dt><span>proj:transform :</span></dt><dd>[10.0, 0.0, 499980.0, 0.0, -10.0, 5300040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 32N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,9],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32632&quot;]]</dd><dt><span>units :</span></dt><dd>digital_counts</dd><dt><span>valid_max :</span></dt><dd>65535</dd><dt><span>valid_min :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>snw</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(915, 915), meta=np.ndarray&gt;</div><input id='attrs-1fef98dc-ddc1-4964-8ddf-b5fe3215c5c1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1fef98dc-ddc1-4964-8ddf-b5fe3215c5c1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cd810386-956f-41f7-986b-92a6e01bc1f8' class='xr-var-data-in' type='checkbox'><label for='data-cd810386-956f-41f7-986b-92a6e01bc1f8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;band&#x27;, &#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;]}</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 7890240.0, 609780.0, 8000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32625</dd><dt><span>proj:shape :</span></dt><dd>[5490, 5490]</dd><dt><span>proj:transform :</span></dt><dd>[20.0, 0.0, 499980.0, 0.0, -20.0, 8000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 25N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,-33],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32625&quot;]]</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -42176,14 +40254,14 @@
        "                    \n",
        "                    <tr>\n",
        "                        <th> Bytes </th>\n",
-       "                        <td> 919.80 MiB </td>\n",
-       "                        <td> 25.55 MiB </td>\n",
+       "                        <td> 28.74 MiB </td>\n",
+       "                        <td> 817.60 kiB </td>\n",
        "                    </tr>\n",
        "                    \n",
        "                    <tr>\n",
        "                        <th> Shape </th>\n",
-       "                        <td> (10980, 10980) </td>\n",
-       "                        <td> (1830, 1830) </td>\n",
+       "                        <td> (5490, 5490) </td>\n",
+       "                        <td> (915, 915) </td>\n",
        "                    </tr>\n",
        "                    <tr>\n",
        "                        <th> Dask graph </th>\n",
@@ -42191,7 +40269,7 @@
        "                    </tr>\n",
        "                    <tr>\n",
        "                        <th> Data type </th>\n",
-       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
+       "                        <td colspan=\"2\"> uint8 numpy.ndarray </td>\n",
        "                    </tr>\n",
        "                </tbody>\n",
        "            </table>\n",
@@ -42221,50 +40299,302 @@
        "  <polygon points=\"0.0,0.0 120.0,0.0 120.0,120.0 0.0,120.0\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
        "\n",
        "  <!-- Text -->\n",
-       "  <text x=\"60.000000\" y=\"140.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >10980</text>\n",
-       "  <text x=\"140.000000\" y=\"60.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,140.000000,60.000000)\">10980</text>\n",
+       "  <text x=\"60.000000\" y=\"140.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >5490</text>\n",
+       "  <text x=\"140.000000\" y=\"60.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,140.000000,60.000000)\">5490</text>\n",
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-bb134d32-f9b8-4b19-a4f6-57cc2ca4656b' class='xr-section-summary-in' type='checkbox'  ><label for='section-bb134d32-f9b8-4b19-a4f6-57cc2ca4656b' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>x</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-1c7c62b3-0e07-428f-8071-c8278f0bb9d1' class='xr-index-data-in' type='checkbox'/><label for='index-1c7c62b3-0e07-428f-8071-c8278f0bb9d1' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([499985, 499995, 500005, 500015, 500025, 500035, 500045, 500055, 500065,\n",
-       "       500075,\n",
-       "       ...\n",
-       "       609685, 609695, 609705, 609715, 609725, 609735, 609745, 609755, 609765,\n",
-       "       609775],\n",
-       "      dtype=&#x27;int64&#x27;, name=&#x27;x&#x27;, length=10980))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>y</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-82d71bab-1daa-47ef-9927-dd07d35fbd75' class='xr-index-data-in' type='checkbox'/><label for='index-82d71bab-1daa-47ef-9927-dd07d35fbd75' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([5300035, 5300025, 5300015, 5300005, 5299995, 5299985, 5299975, 5299965,\n",
-       "       5299955, 5299945,\n",
-       "       ...\n",
-       "       5190335, 5190325, 5190315, 5190305, 5190295, 5190285, 5190275, 5190265,\n",
-       "       5190255, 5190245],\n",
-       "      dtype=&#x27;int64&#x27;, name=&#x27;y&#x27;, length=10980))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-079839a7-a1c0-4450-97ad-cfa7f22e0383' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-079839a7-a1c0-4450-97ad-cfa7f22e0383' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
+       "</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-e5162ce7-8a0c-480f-8377-5458a780822c' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-e5162ce7-8a0c-480f-8377-5458a780822c' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div></div></div></li><li class='xr-section-item'><input id='section-217fb14b-5110-4423-97df-f4ca75d8d4b8' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-217fb14b-5110-4423-97df-f4ca75d8d4b8' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-f9b7a419-ff91-4d00-8ed1-7912ad31dc04' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-f9b7a419-ff91-4d00-8ed1-7912ad31dc04' class='xr-section-summary'  title='Expand/collapse section'>Coordinates: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-9d22dfb8-bfdc-4d6d-906a-73aca8903a2b' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-9d22dfb8-bfdc-4d6d-906a-73aca8903a2b' class='xr-section-summary'  title='Expand/collapse section'>Data variables: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-6e36c276-d201-4baa-9f2e-d54d88152b03' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-6e36c276-d201-4baa-9f2e-d54d88152b03' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div></div></div></li><li class='xr-section-item'><input id='section-fb75b8d1-613c-4153-8e2b-c22faecc7f5b' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-fb75b8d1-613c-4153-8e2b-c22faecc7f5b' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-745fabbc-44f6-4911-84cc-ec522d1418cb' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-745fabbc-44f6-4911-84cc-ec522d1418cb' class='xr-section-summary'  title='Expand/collapse section'>Coordinates: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-7d5147da-f05a-4153-afdd-b209d78968de' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-7d5147da-f05a-4153-afdd-b209d78968de' class='xr-section-summary'  title='Expand/collapse section'>Data variables: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-3a65db41-5bfb-4f69-96ac-f240297c0a89' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-3a65db41-5bfb-4f69-96ac-f240297c0a89' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div></div></div></li><li class='xr-section-item'><input id='section-2ae879b4-fa66-44a7-944a-321cdd378618' class='xr-section-summary-in' type='checkbox' disabled ><label 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&#x27;used CAMS file names&#x27;: &#x27;S2__OPER_AUX_CAMSFO_ADG__20250415T000000_V20250415T000000_20250417T010000&#x27;, &#x27;used DEM file name&#x27;: &#x27;CopernicusDEM30&#x27;, &#x27;used ECMWF file names&#x27;: &#x27;S2__OPER_AUX_ECMWFD_ADG__20250415T000000_V20250415T090000_20250417T030000&#x27;, &#x27;used ESA CCI land cover map file name&#x27;: &#x27;ESACCI-LC-L4-LCCS-Map-300m-P1Y-2015-v2.0.7.tif&#x27;, &#x27;used ESA CCI snow condition map folder name&#x27;: &#x27;ESACCI-LC-L4-Snow-Cond-500m-MONTHLY-2000-2012-v2.4&#x27;, &#x27;used ESA CCI water bodies map file name&#x27;: &#x27;ESACCI-LC-L4-WB-Map-150m-P13Y-2000-v4.0.tif&#x27;, &#x27;used IERS file name&#x27;: &#x27;S2__OPER_AUX_UT1UTC_PDMC_20250410T000000_V20250411T000000_20260410T000000&#x27;, &#x27;used LibRadTran Look-Up Tables list&#x27;: &#x27;None&#x27;, &#x27;used snow climatology map file name&#x27;: &#x27;GlobalSnowMap.tiff&#x27;}, &#x27;organisation&#x27;: &#x27;ESA&#x27;, &#x27;output&#x27;: &#x27;S2MSIL2A_etc&#x27;, &#x27;processor&#x27;: &#x27;Sentinel-2 IPF&#x27;, &#x27;type&#x27;: &#x27;Level-2A Product&#x27;, &#x27;version&#x27;: &#x27;???&#x27;}], &#x27;horizontal_CRS_code&#x27;: &#x27;EPSG:32625&#x27;, &#x27;horizontal_CRS_name&#x27;: &#x27;WGS84 / UTM zone 25N&#x27;, &#x27;mean_sensing_time&#x27;: &#x27;2025-04-15T14:32:15.958111Z&#x27;, &#x27;mean_sun_azimuth_angle_in_deg_for_all_bands_all_detectors&#x27;: 187.441465289186, &#x27;mean_sun_zenith_angle_in_deg_for_all_bands_all_detectors&#x27;: 61.7422786341979, &#x27;mean_value_of_aerosol_optical_thickness&#x27;: 0.063097, &#x27;mean_value_of_total_water_vapour_content&#x27;: 0.159684, &#x27;meteo&#x27;: {&#x27;source&#x27;: &#x27;ECMWF&#x27;, &#x27;type&#x27;: &#x27;FORECAST&#x27;}, &#x27;multispectral_registration_assessment&#x27;: &#x27;N/A&#x27;, &#x27;onboard_compression_flag&#x27;: &#x27;true&#x27;, &#x27;onboard_equalization_flag&#x27;: &#x27;null&#x27;, &#x27;optical_crosstalk_correction_flag&#x27;: &#x27;null&#x27;, &#x27;ozone_source&#x27;: &#x27;AUX_ECMWFT&#x27;, &#x27;ozone_value&#x27;: 371.899646, &#x27;percentage_of_degraded_MSI_data&#x27;: 0.0, &#x27;planimetric_stability_assessment_from_AOCS&#x27;: &#x27;\\n          &#x27;, &#x27;product_quality_status&#x27;: &#x27;PASSED,PASSED,PASSED,PASSED,PASSED,PASSED&#x27;, &#x27;reflectance_correction_factor_from_the_Sun-Earth_distance_variation_computed_using_the_acquisition_date&#x27;: 0.995898443385998, &#x27;spectral_band_of_reference&#x27;: &#x27;N/A&#x27;}</dd><dt><span>stac_discovery :</span></dt><dd>{&#x27;assets&#x27;: {&#x27;analytic&#x27;: {&#x27;eo:bands&#x27;: [{&#x27;center_wavelength&#x27;: 0.4423, &#x27;common_name&#x27;: &#x27;coastal&#x27;, &#x27;full_width_half_max&#x27;: 0.02, &#x27;name&#x27;: &#x27;01&#x27;, &#x27;solar_illumination&#x27;: &#x27;1874.3&#x27;}, {&#x27;center_wavelength&#x27;: 0.4923, &#x27;common_name&#x27;: &#x27;blue&#x27;, &#x27;full_width_half_max&#x27;: 0.065, &#x27;name&#x27;: &#x27;02&#x27;, &#x27;solar_illumination&#x27;: &#x27;1959.75&#x27;}, {&#x27;center_wavelength&#x27;: 0.559, &#x27;common_name&#x27;: &#x27;green&#x27;, &#x27;full_width_half_max&#x27;: 0.035, &#x27;name&#x27;: &#x27;03&#x27;, &#x27;solar_illumination&#x27;: &#x27;1824.93&#x27;}, {&#x27;center_wavelength&#x27;: 0.665, &#x27;common_name&#x27;: &#x27;red&#x27;, &#x27;full_width_half_max&#x27;: 0.03, &#x27;name&#x27;: &#x27;04&#x27;, &#x27;solar_illumination&#x27;: &#x27;1512.79&#x27;}, {&#x27;center_wavelength&#x27;: 0.7038, &#x27;full_width_half_max&#x27;: 0.015, &#x27;name&#x27;: &#x27;05&#x27;, &#x27;solar_illumination&#x27;: &#x27;1425.78&#x27;}, {&#x27;center_wavelength&#x27;: 0.7391000000000001, &#x27;full_width_half_max&#x27;: 0.015, &#x27;name&#x27;: &#x27;06&#x27;, &#x27;solar_illumination&#x27;: &#x27;1291.13&#x27;}, {&#x27;center_wavelength&#x27;: 0.7797000000000001, &#x27;full_width_half_max&#x27;: 0.02, &#x27;name&#x27;: &#x27;07&#x27;, &#x27;solar_illumination&#x27;: &#x27;1175.57&#x27;}, {&#x27;center_wavelength&#x27;: 0.833, &#x27;common_name&#x27;: &#x27;nir&#x27;, &#x27;full_width_half_max&#x27;: 0.105, &#x27;name&#x27;: &#x27;08&#x27;, &#x27;solar_illumination&#x27;: &#x27;1041.28&#x27;}, {&#x27;center_wavelength&#x27;: 0.864, &#x27;full_width_half_max&#x27;: 0.02, &#x27;name&#x27;: &#x27;8A&#x27;, &#x27;solar_illumination&#x27;: &#x27;953.93&#x27;}, {&#x27;center_wavelength&#x27;: 0.9432, &#x27;full_width_half_max&#x27;: 0.02, &#x27;name&#x27;: &#x27;09&#x27;, &#x27;solar_illumination&#x27;: &#x27;817.58&#x27;}, {&#x27;center_wavelength&#x27;: 1.3769, &#x27;common_name&#x27;: &#x27;cirrus&#x27;, &#x27;full_width_half_max&#x27;: 0.03, &#x27;name&#x27;: &#x27;10&#x27;, &#x27;solar_illumination&#x27;: &#x27;365.41&#x27;}, {&#x27;center_wavelength&#x27;: 1.6104, &#x27;common_name&#x27;: &#x27;swir16&#x27;, &#x27;full_width_half_max&#x27;: 0.09, &#x27;name&#x27;: &#x27;11&#x27;, &#x27;solar_illumination&#x27;: &#x27;247.08&#x27;}, {&#x27;center_wavelength&#x27;: 2.1856999999999998, &#x27;common_name&#x27;: &#x27;swir22&#x27;, &#x27;full_width_half_max&#x27;: 0.18, &#x27;name&#x27;: &#x27;12&#x27;, &#x27;solar_illumination&#x27;: &#x27;87.75&#x27;}], &#x27;eo:cloud_cover&#x27;: 3.895989, &#x27;eo:snow_cover&#x27;: 96.006769, &#x27;href&#x27;: &#x27;null&#x27;}}, &#x27;bbox&#x27;: [-29.803142031345267, 71.09047477839924, -33.00058298824502, 72.09958113156462], &#x27;geometry&#x27;: {&#x27;coordinates&#x27;: [[[-33.00058298824502, 72.09958113156462], [-29.803142031345267, 72.0734490476056], [-29.963758285895263, 71.09047477839924], [-33.0005536414404, 71.1151544804355], [-33.00058298824502, 72.09958113156462]]], &#x27;type&#x27;: &#x27;Polygon&#x27;}, &#x27;id&#x27;: &#x27;S2B_MSIL2A_20250415T142749_N0511_R139_T25WEV_20250415T181516.SAFE&#x27;, &#x27;links&#x27;: [{&#x27;href&#x27;: &#x27;./.zattrs.json&#x27;, &#x27;rel&#x27;: &#x27;self&#x27;, &#x27;type&#x27;: &#x27;application/json&#x27;}], &#x27;properties&#x27;: {&#x27;bands&#x27;: [{&#x27;center_wavelength&#x27;: 442.3, &#x27;common_name&#x27;: &#x27;coastal&#x27;, &#x27;full_width_half_max&#x27;: 0.02, &#x27;name&#x27;: &#x27;b01&#x27;, &#x27;solar_illumination&#x27;: 1874.3}, {&#x27;center_wavelength&#x27;: 492.3, &#x27;common_name&#x27;: &#x27;blue&#x27;, &#x27;full_width_half_max&#x27;: 0.065, &#x27;name&#x27;: &#x27;b02&#x27;, &#x27;solar_illumination&#x27;: 1959.75}, {&#x27;center_wavelength&#x27;: 559.0, &#x27;common_name&#x27;: &#x27;green&#x27;, &#x27;full_width_half_max&#x27;: 0.035, &#x27;name&#x27;: &#x27;b03&#x27;, &#x27;solar_illumination&#x27;: 1824.93}, {&#x27;center_wavelength&#x27;: 665.0, &#x27;common_name&#x27;: &#x27;red&#x27;, &#x27;full_width_half_max&#x27;: 0.03, &#x27;name&#x27;: &#x27;b04&#x27;, &#x27;solar_illumination&#x27;: 1512.79}, {&#x27;center_wavelength&#x27;: 703.8, &#x27;common_name&#x27;: &#x27;rededge&#x27;, &#x27;full_width_half_max&#x27;: 0.015, &#x27;name&#x27;: &#x27;b05&#x27;, &#x27;solar_illumination&#x27;: 1425.78}, {&#x27;center_wavelength&#x27;: 739.1, &#x27;common_name&#x27;: &#x27;rededge&#x27;, &#x27;full_width_half_max&#x27;: 0.015, &#x27;name&#x27;: &#x27;b06&#x27;, &#x27;solar_illumination&#x27;: 1291.13}, {&#x27;center_wavelength&#x27;: 779.7, &#x27;common_name&#x27;: &#x27;rededge&#x27;, &#x27;full_width_half_max&#x27;: 0.02, &#x27;name&#x27;: &#x27;b07&#x27;, &#x27;solar_illumination&#x27;: 1175.57}, {&#x27;center_wavelength&#x27;: 833.0, &#x27;common_name&#x27;: &#x27;nir&#x27;, &#x27;full_width_half_max&#x27;: 0.105, &#x27;name&#x27;: &#x27;b08&#x27;, &#x27;solar_illumination&#x27;: 1041.28}, {&#x27;center_wavelength&#x27;: 864.0, &#x27;common_name&#x27;: &#x27;nir08&#x27;, &#x27;full_width_half_max&#x27;: 0.02, &#x27;name&#x27;: &#x27;b8a&#x27;, &#x27;solar_illumination&#x27;: 953.93}, {&#x27;center_wavelength&#x27;: 943.2, &#x27;common_name&#x27;: &#x27;nir09&#x27;, &#x27;full_width_half_max&#x27;: 0.02, &#x27;name&#x27;: &#x27;b09&#x27;, &#x27;solar_illumination&#x27;: 817.58}, {&#x27;center_wavelength&#x27;: 1376.9, &#x27;common_name&#x27;: &#x27;cirrus&#x27;, &#x27;full_width_half_max&#x27;: 0.03, &#x27;name&#x27;: &#x27;b10&#x27;, &#x27;solar_illumination&#x27;: 365.41}, {&#x27;center_wavelength&#x27;: 1610.4, &#x27;common_name&#x27;: &#x27;swir16&#x27;, &#x27;full_width_half_max&#x27;: 0.09, &#x27;name&#x27;: &#x27;b11&#x27;, &#x27;solar_illumination&#x27;: 247.08}, {&#x27;center_wavelength&#x27;: 2185.7, &#x27;common_name&#x27;: &#x27;swir22&#x27;, &#x27;full_width_half_max&#x27;: 0.18, &#x27;name&#x27;: &#x27;b12&#x27;, &#x27;solar_illumination&#x27;: 87.75}], &#x27;constellation&#x27;: &#x27;sentinel-2&#x27;, &#x27;created&#x27;: &#x27;2025-04-15T18:15:16+00:00&#x27;, &#x27;datetime&#x27;: None, &#x27;end_datetime&#x27;: &#x27;2025-04-15T14:27:49.024000+00:00&#x27;, &#x27;eo:cloud_cover&#x27;: 3.895989, &#x27;eo:snow_cover&#x27;: 96.006769, &#x27;eopf:baseline&#x27;: &#x27;05.11&#x27;, &#x27;eopf:data_take_id&#x27;: &#x27;GS2B_20250415T142749_042350_N05.11&#x27;, &#x27;eopf:instrument_mode&#x27;: &#x27;INS-NOBS&#x27;, &#x27;eopf:resolutions&#x27;: {&#x27;bands 01, 09, 10&#x27;: &#x27;60&#x27;, &#x27;bands 02, 03, 04, 08&#x27;: &#x27;10&#x27;, &#x27;bands 05, 06, 07, 8A, 11, 12&#x27;: &#x27;20&#x27;}, &#x27;instrument&#x27;: &#x27;msi&#x27;, &#x27;mission&#x27;: &#x27;copernicus&#x27;, &#x27;platform&#x27;: &#x27;sentinel-2b&#x27;, &#x27;processing:expression&#x27;: &#x27;systematic&#x27;, &#x27;processing:facility&#x27;: &#x27;ESA&#x27;, &#x27;processing:level&#x27;: &#x27;L2A&#x27;, &#x27;processing:lineage&#x27;: &#x27;IPF L2A processor&#x27;, &#x27;processing:software&#x27;: {&#x27;Sentinel-2 IPF&#x27;: &#x27; &#x27;}, &#x27;processing:version&#x27;: &#x27;&#x27;, &#x27;product:timeline&#x27;: &#x27;NRT&#x27;, &#x27;product:timeliness&#x27;: &#x27;PT3H&#x27;, &#x27;product:timeliness_category&#x27;: &#x27;NRT&#x27;, &#x27;product:type&#x27;: &#x27;S02MSIL2A&#x27;, &#x27;proj:bbox&#x27;: [499980.0, 7890240.0, 609780.0, 8000040.0], &#x27;proj:epsg&#x27;: 32625, &#x27;providers&#x27;: [{&#x27;name&#x27;: &#x27;L2A Processor&#x27;, &#x27;roles&#x27;: [&#x27;processor&#x27;]}, {&#x27;name&#x27;: &#x27;ESA&#x27;, &#x27;roles&#x27;: [&#x27;producer&#x27;]}], &#x27;sat:absolute_orbit&#x27;: 42350, &#x27;sat:orbit_state&#x27;: &#x27;descending&#x27;, &#x27;sat:platform_international_designator&#x27;: &#x27;2015-028A&#x27;, &#x27;sat:relative_orbit&#x27;: 139, &#x27;sci:doi&#x27;: &#x27;10.5270/S2_-znk9xsj&#x27;, &#x27;start_datetime&#x27;: &#x27;2025-04-15T14:27:49.024000+00:00&#x27;}, &#x27;stac_extensions&#x27;: [&#x27;https://stac-extensions.github.io/eopf/v1.0.0/schema.json&#x27;, &#x27;https://stac-extensions.github.io/eo/v1.1.0/schema.json&#x27;, &#x27;https://stac-extensions.github.io/sat/v1.0.0/schema.json&#x27;, &#x27;https://stac-extensions.github.io/view/v1.0.0/schema.json&#x27;, &#x27;https://stac-extensions.github.io/scientific/v1.0.0/schema.json&#x27;, &#x27;https://stac-extensions.github.io/processing/v1.2.0/schema.json&#x27;, &#x27;https://stac-extensions.github.io/product/v0.1.0/schema.json&#x27;], &#x27;stac_version&#x27;: &#x27;1.0.0&#x27;, &#x27;type&#x27;: &#x27;Feature&#x27;}</dd></dl></div></li></ul></div></div>"
       ],
       "text/plain": [
-       "<xarray.DatasetView> Size: 4GB\n",
-       "Dimensions:  (y: 10980, x: 10980)\n",
-       "Coordinates:\n",
-       "  * x        (x) int64 88kB 499985 499995 500005 500015 ... 609755 609765 609775\n",
-       "  * y        (y) int64 88kB 5300035 5300025 5300015 ... 5190265 5190255 5190245\n",
-       "Data variables:\n",
-       "    b02      (y, x) float64 964MB dask.array<chunksize=(1830, 1830), meta=np.ndarray>\n",
-       "    b03      (y, x) float64 964MB dask.array<chunksize=(1830, 1830), meta=np.ndarray>\n",
-       "    b04      (y, x) float64 964MB dask.array<chunksize=(1830, 1830), meta=np.ndarray>\n",
-       "    b08      (y, x) float64 964MB dask.array<chunksize=(1830, 1830), meta=np.ndarray>"
+       "<xarray.DataTree>\n",
+       "Group: /\n",
+       "│   Attributes:\n",
+       "│       other_metadata:  {'AOT_retrieval_model': 'CAMS', 'L0_ancillary_data_quali...\n",
+       "│       stac_discovery:  {'assets': {'analytic': {'eo:bands': [{'center_wavelengt...\n",
+       "├── Group: /conditions\n",
+       "│   ├── Group: /conditions/geometry\n",
+       "│   │       Dimensions:                        (angle: 2, band: 13, y: 23, x: 23,\n",
+       "│   │                                           detector: 7)\n",
+       "│   │       Coordinates:\n",
+       "│   │         * angle                          (angle) <U7 56B 'zenith' 'azimuth'\n",
+       "│   │         * band                           (band) <U3 156B 'b01' 'b02' ... 'b11' 'b12'\n",
+       "│   │         * detector                       (detector) int64 56B 6 7 8 9 10 11 12\n",
+       "│   │         * x                              (x) int64 184B 499980 504980 ... 609980\n",
+       "│   │         * y                              (y) int64 184B 8000040 7995040 ... 7890040\n",
+       "│   │       Data variables:\n",
+       "│   │           mean_sun_angles                (angle) float64 16B dask.array<chunksize=(2,), meta=np.ndarray>\n",
+       "│   │           mean_viewing_incidence_angles  (band, angle) float64 208B dask.array<chunksize=(13, 2), meta=np.ndarray>\n",
+       "│   │           sun_angles                     (angle, y, x) float64 8kB dask.array<chunksize=(2, 23, 23), meta=np.ndarray>\n",
+       "│   │           viewing_incidence_angles       (band, detector, angle, y, x) float64 770kB dask.array<chunksize=(7, 4, 2, 23, 23), meta=np.ndarray>\n",
+       "│   ├── Group: /conditions/mask\n",
+       "│   │   ├── Group: /conditions/mask/detector_footprint\n",
+       "│   │   │   ├── Group: /conditions/mask/detector_footprint/r10m\n",
+       "│   │   │   │       Dimensions:  (y: 10980, x: 10980)\n",
+       "│   │   │   │       Coordinates:\n",
+       "│   │   │   │         * x        (x) int64 88kB 499985 499995 500005 500015 ... 609755 609765 609775\n",
+       "│   │   │   │         * y        (y) int64 88kB 8000035 8000025 8000015 ... 7890265 7890255 7890245\n",
+       "│   │   │   │       Data variables:\n",
+       "│   │   │   │           b02      (y, x) uint8 121MB dask.array<chunksize=(1830, 1830), meta=np.ndarray>\n",
+       "│   │   │   │           b03      (y, x) uint8 121MB dask.array<chunksize=(1830, 1830), meta=np.ndarray>\n",
+       "│   │   │   │           b04      (y, x) uint8 121MB dask.array<chunksize=(1830, 1830), meta=np.ndarray>\n",
+       "│   │   │   │           b08      (y, x) uint8 121MB dask.array<chunksize=(1830, 1830), meta=np.ndarray>\n",
+       "│   │   │   ├── Group: /conditions/mask/detector_footprint/r20m\n",
+       "│   │   │   │       Dimensions:  (y: 5490, x: 5490)\n",
+       "│   │   │   │       Coordinates:\n",
+       "│   │   │   │         * x        (x) int64 44kB 499990 500010 500030 500050 ... 609730 609750 609770\n",
+       "│   │   │   │         * y        (y) int64 44kB 8000030 8000010 7999990 ... 7890290 7890270 7890250\n",
+       "│   │   │   │       Data variables:\n",
+       "│   │   │   │           b05      (y, x) uint8 30MB dask.array<chunksize=(915, 915), meta=np.ndarray>\n",
+       "│   │   │   │           b06      (y, x) uint8 30MB dask.array<chunksize=(915, 915), meta=np.ndarray>\n",
+       "│   │   │   │           b07      (y, x) uint8 30MB dask.array<chunksize=(915, 915), meta=np.ndarray>\n",
+       "│   │   │   │           b11      (y, x) uint8 30MB dask.array<chunksize=(915, 915), meta=np.ndarray>\n",
+       "│   │   │   │           b12      (y, x) uint8 30MB dask.array<chunksize=(915, 915), meta=np.ndarray>\n",
+       "│   │   │   │           b8a      (y, x) uint8 30MB dask.array<chunksize=(915, 915), meta=np.ndarray>\n",
+       "│   │   │   └── Group: /conditions/mask/detector_footprint/r60m\n",
+       "│   │   │           Dimensions:  (y: 1830, x: 1830)\n",
+       "│   │   │           Coordinates:\n",
+       "│   │   │             * x        (x) int64 15kB 500010 500070 500130 500190 ... 609630 609690 609750\n",
+       "│   │   │             * y        (y) int64 15kB 8000010 7999950 7999890 ... 7890390 7890330 7890270\n",
+       "│   │   │           Data variables:\n",
+       "│   │   │               b01      (y, x) uint8 3MB dask.array<chunksize=(305, 305), meta=np.ndarray>\n",
+       "│   │   │               b09      (y, x) uint8 3MB dask.array<chunksize=(305, 305), meta=np.ndarray>\n",
+       "│   │   │               b10      (y, x) uint8 3MB dask.array<chunksize=(305, 305), meta=np.ndarray>\n",
+       "│   │   ├── Group: /conditions/mask/l1c_classification\n",
+       "│   │   │   └── Group: /conditions/mask/l1c_classification/r60m\n",
+       "│   │   │           Dimensions:  (y: 1830, x: 1830)\n",
+       "│   │   │           Coordinates:\n",
+       "│   │   │             * x        (x) int64 15kB 500010 500070 500130 500190 ... 609630 609690 609750\n",
+       "│   │   │             * y        (y) int64 15kB 8000010 7999950 7999890 ... 7890390 7890330 7890270\n",
+       "│   │   │           Data variables:\n",
+       "│   │   │               b00      (y, x) uint8 3MB dask.array<chunksize=(305, 305), meta=np.ndarray>\n",
+       "│   │   └── Group: /conditions/mask/l2a_classification\n",
+       "│   │       ├── Group: /conditions/mask/l2a_classification/r20m\n",
+       "│   │       │       Dimensions:  (y: 5490, x: 5490)\n",
+       "│   │       │       Coordinates:\n",
+       "│   │       │         * x        (x) int64 44kB 499990 500010 500030 500050 ... 609730 609750 609770\n",
+       "│   │       │         * y        (y) int64 44kB 8000030 8000010 7999990 ... 7890290 7890270 7890250\n",
+       "│   │       │       Data variables:\n",
+       "│   │       │           scl      (y, x) uint8 30MB dask.array<chunksize=(915, 915), meta=np.ndarray>\n",
+       "│   │       └── Group: /conditions/mask/l2a_classification/r60m\n",
+       "│   │               Dimensions:  (y: 1830, x: 1830)\n",
+       "│   │               Coordinates:\n",
+       "│   │                 * x        (x) int64 15kB 500010 500070 500130 500190 ... 609630 609690 609750\n",
+       "│   │                 * y        (y) int64 15kB 8000010 7999950 7999890 ... 7890390 7890330 7890270\n",
+       "│   │               Data variables:\n",
+       "│   │                   scl      (y, x) uint8 3MB dask.array<chunksize=(305, 305), meta=np.ndarray>\n",
+       "│   └── Group: /conditions/meteorology\n",
+       "│       ├── Group: /conditions/meteorology/cams\n",
+       "│       │       Dimensions:        (latitude: 9, longitude: 9)\n",
+       "│       │       Coordinates:\n",
+       "│       │           isobaricInhPa  float64 8B ...\n",
+       "│       │         * latitude       (latitude) float64 72B 72.1 71.97 71.85 ... 71.34 71.22 71.09\n",
+       "│       │         * longitude      (longitude) float64 72B -33.0 -32.62 -32.24 ... -30.34 -29.96\n",
+       "│       │           number         int64 8B ...\n",
+       "│       │           step           int64 8B ...\n",
+       "│       │           surface        float64 8B ...\n",
+       "│       │           time           datetime64[ns] 8B ...\n",
+       "│       │           valid_time     datetime64[ns] 8B ...\n",
+       "│       │       Data variables:\n",
+       "│       │           aod1240        (latitude, longitude) float32 324B dask.array<chunksize=(9, 9), meta=np.ndarray>\n",
+       "│       │           aod469         (latitude, longitude) float32 324B dask.array<chunksize=(9, 9), meta=np.ndarray>\n",
+       "│       │           aod550         (latitude, longitude) float32 324B dask.array<chunksize=(9, 9), meta=np.ndarray>\n",
+       "│       │           aod670         (latitude, longitude) float32 324B dask.array<chunksize=(9, 9), meta=np.ndarray>\n",
+       "│       │           aod865         (latitude, longitude) float32 324B dask.array<chunksize=(9, 9), meta=np.ndarray>\n",
+       "│       │           bcaod550       (latitude, longitude) float32 324B dask.array<chunksize=(9, 9), meta=np.ndarray>\n",
+       "│       │           duaod550       (latitude, longitude) float32 324B dask.array<chunksize=(9, 9), meta=np.ndarray>\n",
+       "│       │           omaod550       (latitude, longitude) float32 324B dask.array<chunksize=(9, 9), meta=np.ndarray>\n",
+       "│       │           ssaod550       (latitude, longitude) float32 324B dask.array<chunksize=(9, 9), meta=np.ndarray>\n",
+       "│       │           suaod550       (latitude, longitude) float32 324B dask.array<chunksize=(9, 9), meta=np.ndarray>\n",
+       "│       │           z              (latitude, longitude) float32 324B dask.array<chunksize=(9, 9), meta=np.ndarray>\n",
+       "│       │       Attributes:\n",
+       "│       │           Conventions:             CF-1.7\n",
+       "│       │           GRIB_centre:             ecmf\n",
+       "│       │           GRIB_centreDescription:  European Centre for Medium-Range Weather Forecasts\n",
+       "│       │           GRIB_edition:            1\n",
+       "│       │           GRIB_subCentre:          0\n",
+       "│       │           history:                 2025-04-16T04:00 GRIB to CDM+CF via cfgrib-0.9.1...\n",
+       "│       │           institution:             European Centre for Medium-Range Weather Forecasts\n",
+       "│       └── Group: /conditions/meteorology/ecmwf\n",
+       "│               Dimensions:        (latitude: 9, longitude: 9)\n",
+       "│               Coordinates:\n",
+       "│                   isobaricInhPa  float64 8B ...\n",
+       "│                 * latitude       (latitude) float64 72B 72.1 71.97 71.85 ... 71.34 71.22 71.09\n",
+       "│                 * longitude      (longitude) float64 72B -33.0 -32.62 -32.24 ... -30.34 -29.96\n",
+       "│                   number         int64 8B ...\n",
+       "│                   step           int64 8B ...\n",
+       "│                   surface        float64 8B ...\n",
+       "│                   time           datetime64[ns] 8B ...\n",
+       "│                   valid_time     datetime64[ns] 8B ...\n",
+       "│               Data variables:\n",
+       "│                   msl            (latitude, longitude) float32 324B dask.array<chunksize=(9, 9), meta=np.ndarray>\n",
+       "│                   r              (latitude, longitude) float32 324B dask.array<chunksize=(9, 9), meta=np.ndarray>\n",
+       "│                   tco3           (latitude, longitude) float32 324B dask.array<chunksize=(9, 9), meta=np.ndarray>\n",
+       "│                   tcwv           (latitude, longitude) float32 324B dask.array<chunksize=(9, 9), meta=np.ndarray>\n",
+       "│                   u10            (latitude, longitude) float32 324B dask.array<chunksize=(9, 9), meta=np.ndarray>\n",
+       "│                   v10            (latitude, longitude) float32 324B dask.array<chunksize=(9, 9), meta=np.ndarray>\n",
+       "│               Attributes:\n",
+       "│                   Conventions:             CF-1.7\n",
+       "│                   GRIB_centre:             ecmf\n",
+       "│                   GRIB_centreDescription:  European Centre for Medium-Range Weather Forecasts\n",
+       "│                   GRIB_edition:            1\n",
+       "│                   GRIB_subCentre:          0\n",
+       "│                   history:                 2025-04-16T04:00 GRIB to CDM+CF via cfgrib-0.9.1...\n",
+       "│                   institution:             European Centre for Medium-Range Weather Forecasts\n",
+       "├── Group: /measurements\n",
+       "│   └── Group: /measurements/reflectance\n",
+       "│       ├── Group: /measurements/reflectance/r10m\n",
+       "│       │       Dimensions:  (y: 10980, x: 10980)\n",
+       "│       │       Coordinates:\n",
+       "│       │         * x        (x) int64 88kB 499985 499995 500005 500015 ... 609755 609765 609775\n",
+       "│       │         * y        (y) int64 88kB 8000035 8000025 8000015 ... 7890265 7890255 7890245\n",
+       "│       │       Data variables:\n",
+       "│       │           b02      (y, x) float64 964MB dask.array<chunksize=(1830, 1830), meta=np.ndarray>\n",
+       "│       │           b03      (y, x) float64 964MB dask.array<chunksize=(1830, 1830), meta=np.ndarray>\n",
+       "│       │           b04      (y, x) float64 964MB dask.array<chunksize=(1830, 1830), meta=np.ndarray>\n",
+       "│       │           b08      (y, x) float64 964MB dask.array<chunksize=(1830, 1830), meta=np.ndarray>\n",
+       "│       ├── Group: /measurements/reflectance/r20m\n",
+       "│       │       Dimensions:  (y: 5490, x: 5490)\n",
+       "│       │       Coordinates:\n",
+       "│       │         * x        (x) int64 44kB 499990 500010 500030 500050 ... 609730 609750 609770\n",
+       "│       │         * y        (y) int64 44kB 8000030 8000010 7999990 ... 7890290 7890270 7890250\n",
+       "│       │       Data variables:\n",
+       "│       │           b01      (y, x) float64 241MB dask.array<chunksize=(915, 915), meta=np.ndarray>\n",
+       "│       │           b02      (y, x) float64 241MB dask.array<chunksize=(915, 915), meta=np.ndarray>\n",
+       "│       │           b03      (y, x) float64 241MB dask.array<chunksize=(915, 915), meta=np.ndarray>\n",
+       "│       │           b04      (y, x) float64 241MB dask.array<chunksize=(915, 915), meta=np.ndarray>\n",
+       "│       │           b05      (y, x) float64 241MB dask.array<chunksize=(915, 915), meta=np.ndarray>\n",
+       "│       │           b06      (y, x) float64 241MB dask.array<chunksize=(915, 915), meta=np.ndarray>\n",
+       "│       │           b07      (y, x) float64 241MB dask.array<chunksize=(915, 915), meta=np.ndarray>\n",
+       "│       │           b11      (y, x) float64 241MB dask.array<chunksize=(915, 915), meta=np.ndarray>\n",
+       "│       │           b12      (y, x) float64 241MB dask.array<chunksize=(915, 915), meta=np.ndarray>\n",
+       "│       │           b8a      (y, x) float64 241MB dask.array<chunksize=(915, 915), meta=np.ndarray>\n",
+       "│       └── Group: /measurements/reflectance/r60m\n",
+       "│               Dimensions:  (y: 1830, x: 1830)\n",
+       "│               Coordinates:\n",
+       "│                 * x        (x) int64 15kB 500010 500070 500130 500190 ... 609630 609690 609750\n",
+       "│                 * y        (y) int64 15kB 8000010 7999950 7999890 ... 7890390 7890330 7890270\n",
+       "│               Data variables:\n",
+       "│                   b01      (y, x) float64 27MB dask.array<chunksize=(305, 305), meta=np.ndarray>\n",
+       "│                   b02      (y, x) float64 27MB dask.array<chunksize=(305, 305), meta=np.ndarray>\n",
+       "│                   b03      (y, x) float64 27MB dask.array<chunksize=(305, 305), meta=np.ndarray>\n",
+       "│                   b04      (y, x) float64 27MB dask.array<chunksize=(305, 305), meta=np.ndarray>\n",
+       "│                   b05      (y, x) float64 27MB dask.array<chunksize=(305, 305), meta=np.ndarray>\n",
+       "│                   b06      (y, x) float64 27MB dask.array<chunksize=(305, 305), meta=np.ndarray>\n",
+       "│                   b07      (y, x) float64 27MB dask.array<chunksize=(305, 305), meta=np.ndarray>\n",
+       "│                   b09      (y, x) float64 27MB dask.array<chunksize=(305, 305), meta=np.ndarray>\n",
+       "│                   b11      (y, x) float64 27MB dask.array<chunksize=(305, 305), meta=np.ndarray>\n",
+       "│                   b12      (y, x) float64 27MB dask.array<chunksize=(305, 305), meta=np.ndarray>\n",
+       "│                   b8a      (y, x) float64 27MB dask.array<chunksize=(305, 305), meta=np.ndarray>\n",
+       "└── Group: /quality\n",
+       "    ├── Group: /quality/atmosphere\n",
+       "    │   ├── Group: /quality/atmosphere/r10m\n",
+       "    │   │       Dimensions:  (y: 10980, x: 10980)\n",
+       "    │   │       Coordinates:\n",
+       "    │   │         * x        (x) int64 88kB 499985 499995 500005 500015 ... 609755 609765 609775\n",
+       "    │   │         * y        (y) int64 88kB 8000035 8000025 8000015 ... 7890265 7890255 7890245\n",
+       "    │   │       Data variables:\n",
+       "    │   │           aot      (y, x) uint16 241MB dask.array<chunksize=(1830, 1830), meta=np.ndarray>\n",
+       "    │   │           wvp      (y, x) uint16 241MB dask.array<chunksize=(1830, 1830), meta=np.ndarray>\n",
+       "    │   ├── Group: /quality/atmosphere/r20m\n",
+       "    │   │       Dimensions:  (y: 5490, x: 5490)\n",
+       "    │   │       Coordinates:\n",
+       "    │   │         * x        (x) int64 44kB 499990 500010 500030 500050 ... 609730 609750 609770\n",
+       "    │   │         * y        (y) int64 44kB 8000030 8000010 7999990 ... 7890290 7890270 7890250\n",
+       "    │   │       Data variables:\n",
+       "    │   │           aot      (y, x) uint16 60MB dask.array<chunksize=(915, 915), meta=np.ndarray>\n",
+       "    │   │           wvp      (y, x) uint16 60MB dask.array<chunksize=(915, 915), meta=np.ndarray>\n",
+       "    │   └── Group: /quality/atmosphere/r60m\n",
+       "    │           Dimensions:  (y: 1830, x: 1830)\n",
+       "    │           Coordinates:\n",
+       "    │             * x        (x) int64 15kB 500010 500070 500130 500190 ... 609630 609690 609750\n",
+       "    │             * y        (y) int64 15kB 8000010 7999950 7999890 ... 7890390 7890330 7890270\n",
+       "    │           Data variables:\n",
+       "    │               aot      (y, x) uint16 7MB dask.array<chunksize=(305, 305), meta=np.ndarray>\n",
+       "    │               wvp      (y, x) uint16 7MB dask.array<chunksize=(305, 305), meta=np.ndarray>\n",
+       "    ├── Group: /quality/l2a_quicklook\n",
+       "    │   ├── Group: /quality/l2a_quicklook/r10m\n",
+       "    │   │       Dimensions:  (band: 3, y: 10980, x: 10980)\n",
+       "    │   │       Coordinates:\n",
+       "    │   │         * band     (band) int64 24B 1 2 3\n",
+       "    │   │         * x        (x) int64 88kB 499985 499995 500005 500015 ... 609755 609765 609775\n",
+       "    │   │         * y        (y) int64 88kB 8000035 8000025 8000015 ... 7890265 7890255 7890245\n",
+       "    │   │       Data variables:\n",
+       "    │   │           tci      (band, y, x) uint8 362MB dask.array<chunksize=(1, 1830, 1830), meta=np.ndarray>\n",
+       "    │   ├── Group: /quality/l2a_quicklook/r20m\n",
+       "    │   │       Dimensions:  (band: 3, y: 5490, x: 5490)\n",
+       "    │   │       Coordinates:\n",
+       "    │   │         * band     (band) int64 24B 1 2 3\n",
+       "    │   │         * x        (x) int64 44kB 499990 500010 500030 500050 ... 609730 609750 609770\n",
+       "    │   │         * y        (y) int64 44kB 8000030 8000010 7999990 ... 7890290 7890270 7890250\n",
+       "    │   │       Data variables:\n",
+       "    │   │           tci      (band, y, x) uint8 90MB dask.array<chunksize=(1, 915, 915), meta=np.ndarray>\n",
+       "    │   └── Group: /quality/l2a_quicklook/r60m\n",
+       "    │           Dimensions:  (band: 3, y: 1830, x: 1830)\n",
+       "    │           Coordinates:\n",
+       "    │             * band     (band) int64 24B 1 2 3\n",
+       "    │             * x        (x) int64 15kB 500010 500070 500130 500190 ... 609630 609690 609750\n",
+       "    │             * y        (y) int64 15kB 8000010 7999950 7999890 ... 7890390 7890330 7890270\n",
+       "    │           Data variables:\n",
+       "    │               tci      (band, y, x) uint8 10MB dask.array<chunksize=(1, 305, 305), meta=np.ndarray>\n",
+       "    ├── Group: /quality/mask\n",
+       "    │   ├── Group: /quality/mask/r10m\n",
+       "    │   │       Dimensions:  (y: 10980, x: 10980)\n",
+       "    │   │       Coordinates:\n",
+       "    │   │         * x        (x) int64 88kB 499985 499995 500005 500015 ... 609755 609765 609775\n",
+       "    │   │         * y        (y) int64 88kB 8000035 8000025 8000015 ... 7890265 7890255 7890245\n",
+       "    │   │       Data variables:\n",
+       "    │   │           b02      (y, x) uint8 121MB dask.array<chunksize=(1830, 1830), meta=np.ndarray>\n",
+       "    │   │           b03      (y, x) uint8 121MB dask.array<chunksize=(1830, 1830), meta=np.ndarray>\n",
+       "    │   │           b04      (y, x) uint8 121MB dask.array<chunksize=(1830, 1830), meta=np.ndarray>\n",
+       "    │   │           b08      (y, x) uint8 121MB dask.array<chunksize=(1830, 1830), meta=np.ndarray>\n",
+       "    │   ├── Group: /quality/mask/r20m\n",
+       "    │   │       Dimensions:  (y: 5490, x: 5490)\n",
+       "    │   │       Coordinates:\n",
+       "    │   │         * x        (x) int64 44kB 499990 500010 500030 500050 ... 609730 609750 609770\n",
+       "    │   │         * y        (y) int64 44kB 8000030 8000010 7999990 ... 7890290 7890270 7890250\n",
+       "    │   │       Data variables:\n",
+       "    │   │           b05      (y, x) uint8 30MB dask.array<chunksize=(915, 915), meta=np.ndarray>\n",
+       "    │   │           b06      (y, x) uint8 30MB dask.array<chunksize=(915, 915), meta=np.ndarray>\n",
+       "    │   │           b07      (y, x) uint8 30MB dask.array<chunksize=(915, 915), meta=np.ndarray>\n",
+       "    │   │           b11      (y, x) uint8 30MB dask.array<chunksize=(915, 915), meta=np.ndarray>\n",
+       "    │   │           b12      (y, x) uint8 30MB dask.array<chunksize=(915, 915), meta=np.ndarray>\n",
+       "    │   │           b8a      (y, x) uint8 30MB dask.array<chunksize=(915, 915), meta=np.ndarray>\n",
+       "    │   └── Group: /quality/mask/r60m\n",
+       "    │           Dimensions:  (y: 1830, x: 1830)\n",
+       "    │           Coordinates:\n",
+       "    │             * x        (x) int64 15kB 500010 500070 500130 500190 ... 609630 609690 609750\n",
+       "    │             * y        (y) int64 15kB 8000010 7999950 7999890 ... 7890390 7890330 7890270\n",
+       "    │           Data variables:\n",
+       "    │               b01      (y, x) uint8 3MB dask.array<chunksize=(305, 305), meta=np.ndarray>\n",
+       "    │               b09      (y, x) uint8 3MB dask.array<chunksize=(305, 305), meta=np.ndarray>\n",
+       "    │               b10      (y, x) uint8 3MB dask.array<chunksize=(305, 305), meta=np.ndarray>\n",
+       "    └── Group: /quality/probability\n",
+       "        └── Group: /quality/probability/r20m\n",
+       "                Dimensions:  (y: 5490, x: 5490)\n",
+       "                Coordinates:\n",
+       "                    band     int64 8B ...\n",
+       "                  * x        (x) int64 44kB 499990 500010 500030 500050 ... 609730 609750 609770\n",
+       "                  * y        (y) int64 44kB 8000030 8000010 7999990 ... 7890290 7890270 7890250\n",
+       "                Data variables:\n",
+       "                    cld      (y, x) uint8 30MB dask.array<chunksize=(915, 915), meta=np.ndarray>\n",
+       "                    snw      (y, x) uint8 30MB dask.array<chunksize=(915, 915), meta=np.ndarray>"
       ]
      },
-     "execution_count": 4,
+     "execution_count": 13,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "ds = dt.measurements.reflectance.r10m.ds\n",
-    "ds"
+    "dt = xr.open_datatree(url, engine=\"eopf-zarr\", op_mode=\"native\", chunks={})\n",
+    "dt"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
-   "id": "c5c5bba2-37ae-4965-9922-9c3e9a666e7d",
+   "execution_count": 14,
+   "id": "990504ab-2245-423d-8f46-3158ebf76ff9",
    "metadata": {},
    "outputs": [
     {
@@ -42640,24 +40970,212 @@
        "  stroke: currentColor;\n",
        "  fill: currentColor;\n",
        "}\n",
-       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;b02&#x27; (y: 10980, x: 10980)&gt; Size: 964MB\n",
-       "dask.array&lt;open_dataset-b02, shape=(10980, 10980), dtype=float64, chunksize=(1830, 1830), chunktype=numpy.ndarray&gt;\n",
+       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DatasetView&gt; Size: 4GB\n",
+       "Dimensions:  (y: 10980, x: 10980)\n",
        "Coordinates:\n",
        "  * x        (x) int64 88kB 499985 499995 500005 500015 ... 609755 609765 609775\n",
-       "  * y        (y) int64 88kB 5300035 5300025 5300015 ... 5190265 5190255 5190245\n",
-       "Attributes:\n",
-       "    _eopf_attrs:     {&#x27;add_offset&#x27;: -0.1, &#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensi...\n",
-       "    dtype:           &lt;u2\n",
-       "    fill_value:      0\n",
-       "    long_name:       BOA reflectance from MSI acquisition at spectral band b0...\n",
-       "    proj:bbox:       [499980.0, 5190240.0, 609780.0, 5300040.0]\n",
-       "    proj:epsg:       32632\n",
-       "    proj:shape:      [10980, 10980]\n",
-       "    proj:transform:  [10.0, 0.0, 499980.0, 0.0, -10.0, 5300040.0, 0.0, 0.0, 1.0]\n",
-       "    proj:wkt2:       PROJCS[&quot;WGS 84 / UTM zone 32N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WG...\n",
-       "    units:           digital_counts\n",
-       "    valid_max:       65535\n",
-       "    valid_min:       1</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'b02'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>y</span>: 10980</li><li><span class='xr-has-index'>x</span>: 10980</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-a7cf463d-11ba-468b-9351-55b0a9cd1ce4' class='xr-array-in' type='checkbox' checked><label for='section-a7cf463d-11ba-468b-9351-55b0a9cd1ce4' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>dask.array&lt;chunksize=(1830, 1830), meta=np.ndarray&gt;</span></div><div class='xr-array-data'><table>\n",
+       "  * y        (y) int64 88kB 8000035 8000025 8000015 ... 7890265 7890255 7890245\n",
+       "Data variables:\n",
+       "    b02      (y, x) float64 964MB dask.array&lt;chunksize=(1830, 1830), meta=np.ndarray&gt;\n",
+       "    b03      (y, x) float64 964MB dask.array&lt;chunksize=(1830, 1830), meta=np.ndarray&gt;\n",
+       "    b04      (y, x) float64 964MB dask.array&lt;chunksize=(1830, 1830), meta=np.ndarray&gt;\n",
+       "    b08      (y, x) float64 964MB dask.array&lt;chunksize=(1830, 1830), meta=np.ndarray&gt;</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DatasetView</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-e423d4c7-2d6a-4f61-9032-d6f51cd107f8' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-e423d4c7-2d6a-4f61-9032-d6f51cd107f8' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>y</span>: 10980</li><li><span class='xr-has-index'>x</span>: 10980</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-aeab3d0e-8635-420b-b7c9-16efd61a88b1' class='xr-section-summary-in' type='checkbox'  checked><label for='section-aeab3d0e-8635-420b-b7c9-16efd61a88b1' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>499985 499995 ... 609765 609775</div><input id='attrs-1c2311d3-307f-4e6e-9104-0f5a90fd10a8' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-1c2311d3-307f-4e6e-9104-0f5a90fd10a8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a24fae77-d87c-421f-8c00-82a43af9c5e3' class='xr-var-data-in' type='checkbox'><label for='data-a24fae77-d87c-421f-8c00-82a43af9c5e3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([499985, 499995, 500005, ..., 609755, 609765, 609775], shape=(10980,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>8000035 8000025 ... 7890255 7890245</div><input id='attrs-9f2ea4d4-b942-44ec-9e8d-52921b867051' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-9f2ea4d4-b942-44ec-9e8d-52921b867051' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6f780c4b-11cb-493c-aceb-997a9d6bc02c' class='xr-var-data-in' type='checkbox'><label for='data-6f780c4b-11cb-493c-aceb-997a9d6bc02c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([8000035, 8000025, 8000015, ..., 7890265, 7890255, 7890245],\n",
+       "      shape=(10980,))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-7705a8f3-994b-4498-9a10-a9dc71d3fce8' class='xr-section-summary-in' type='checkbox'  checked><label for='section-7705a8f3-994b-4498-9a10-a9dc71d3fce8' class='xr-section-summary' >Data variables: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>b02</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1830, 1830), meta=np.ndarray&gt;</div><input id='attrs-3e2e0de7-584d-403c-ba35-68c448ec8d38' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3e2e0de7-584d-403c-ba35-68c448ec8d38' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1a19f2e7-53f9-4e8d-bbaf-68e4221e30b2' class='xr-var-data-in' type='checkbox'><label for='data-1a19f2e7-53f9-4e8d-bbaf-68e4221e30b2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;add_offset&#x27;: -0.1, &#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;dtype&#x27;: &#x27;&lt;u2&#x27;, &#x27;fill_value&#x27;: 0, &#x27;long_name&#x27;: &#x27;BOA reflectance from MSI acquisition at spectral band b02 492.3 nm&#x27;, &#x27;scale_factor&#x27;: 0.0001, &#x27;units&#x27;: &#x27;digital_counts&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u2</dd><dt><span>fill_value :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>BOA reflectance from MSI acquisition at spectral band b02 492.3 nm</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 7890240.0, 609780.0, 8000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32625</dd><dt><span>proj:shape :</span></dt><dd>[10980, 10980]</dd><dt><span>proj:transform :</span></dt><dd>[10.0, 0.0, 499980.0, 0.0, -10.0, 8000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 25N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,-33],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32625&quot;]]</dd><dt><span>units :</span></dt><dd>digital_counts</dd><dt><span>valid_max :</span></dt><dd>65535</dd><dt><span>valid_min :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 919.80 MiB </td>\n",
+       "                        <td> 25.55 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (10980, 10980) </td>\n",
+       "                        <td> (1830, 1830) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 36 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
+       "                    </tr>\n",
+       "                </tbody>\n",
+       "            </table>\n",
+       "        </td>\n",
+       "        <td>\n",
+       "        <svg width=\"170\" height=\"170\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
+       "\n",
+       "  <!-- Horizontal lines -->\n",
+       "  <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n",
+       "  <line x1=\"0\" y1=\"20\" x2=\"120\" y2=\"20\" />\n",
+       "  <line x1=\"0\" y1=\"40\" x2=\"120\" y2=\"40\" />\n",
+       "  <line x1=\"0\" y1=\"60\" x2=\"120\" y2=\"60\" />\n",
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+       "  <!-- Vertical lines -->\n",
+       "  <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"120\" style=\"stroke-width:2\" />\n",
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+       "  <line x1=\"120\" y1=\"0\" x2=\"120\" y2=\"120\" style=\"stroke-width:2\" />\n",
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+       "  <!-- Colored Rectangle -->\n",
+       "  <polygon points=\"0.0,0.0 120.0,0.0 120.0,120.0 0.0,120.0\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
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+       "  <!-- Text -->\n",
+       "  <text x=\"60.000000\" y=\"140.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >10980</text>\n",
+       "  <text x=\"140.000000\" y=\"60.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,140.000000,60.000000)\">10980</text>\n",
+       "</svg>\n",
+       "        </td>\n",
+       "    </tr>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b03</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1830, 1830), meta=np.ndarray&gt;</div><input id='attrs-d6a2bdea-aacb-4de6-81c6-0d1d62b1fe31' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d6a2bdea-aacb-4de6-81c6-0d1d62b1fe31' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-57996931-2188-46d8-9984-75bc86387a46' class='xr-var-data-in' type='checkbox'><label for='data-57996931-2188-46d8-9984-75bc86387a46' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;add_offset&#x27;: -0.1, &#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;dtype&#x27;: &#x27;&lt;u2&#x27;, &#x27;fill_value&#x27;: 0, &#x27;long_name&#x27;: &#x27;BOA reflectance from MSI acquisition at spectral band b03 559.0 nm&#x27;, &#x27;scale_factor&#x27;: 0.0001, &#x27;units&#x27;: &#x27;digital_counts&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u2</dd><dt><span>fill_value :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>BOA reflectance from MSI acquisition at spectral band b03 559.0 nm</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 7890240.0, 609780.0, 8000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32625</dd><dt><span>proj:shape :</span></dt><dd>[10980, 10980]</dd><dt><span>proj:transform :</span></dt><dd>[10.0, 0.0, 499980.0, 0.0, -10.0, 8000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 25N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,-33],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32625&quot;]]</dd><dt><span>units :</span></dt><dd>digital_counts</dd><dt><span>valid_max :</span></dt><dd>65535</dd><dt><span>valid_min :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 919.80 MiB </td>\n",
+       "                        <td> 25.55 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (10980, 10980) </td>\n",
+       "                        <td> (1830, 1830) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 36 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
+       "                    </tr>\n",
+       "                </tbody>\n",
+       "            </table>\n",
+       "        </td>\n",
+       "        <td>\n",
+       "        <svg width=\"170\" height=\"170\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
+       "\n",
+       "  <!-- Horizontal lines -->\n",
+       "  <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n",
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+       "  <line x1=\"0\" y1=\"60\" x2=\"120\" y2=\"60\" />\n",
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+       "  <line x1=\"0\" y1=\"120\" x2=\"120\" y2=\"120\" style=\"stroke-width:2\" />\n",
+       "\n",
+       "  <!-- Vertical lines -->\n",
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+       "  <line x1=\"60\" y1=\"0\" x2=\"60\" y2=\"120\" />\n",
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+       "  <line x1=\"120\" y1=\"0\" x2=\"120\" y2=\"120\" style=\"stroke-width:2\" />\n",
+       "\n",
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+       "\n",
+       "  <!-- Text -->\n",
+       "  <text x=\"60.000000\" y=\"140.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >10980</text>\n",
+       "  <text x=\"140.000000\" y=\"60.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,140.000000,60.000000)\">10980</text>\n",
+       "</svg>\n",
+       "        </td>\n",
+       "    </tr>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b04</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1830, 1830), meta=np.ndarray&gt;</div><input id='attrs-2aef0af7-78e8-4cd2-9d9e-79415bfb5765' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2aef0af7-78e8-4cd2-9d9e-79415bfb5765' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-990e39fe-dc38-409e-9abf-11d05397c9da' class='xr-var-data-in' type='checkbox'><label for='data-990e39fe-dc38-409e-9abf-11d05397c9da' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;add_offset&#x27;: -0.1, &#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;dtype&#x27;: &#x27;&lt;u2&#x27;, &#x27;fill_value&#x27;: 0, &#x27;long_name&#x27;: &#x27;BOA reflectance from MSI acquisition at spectral band b04 665.0 nm&#x27;, &#x27;scale_factor&#x27;: 0.0001, &#x27;units&#x27;: &#x27;digital_counts&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u2</dd><dt><span>fill_value :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>BOA reflectance from MSI acquisition at spectral band b04 665.0 nm</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 7890240.0, 609780.0, 8000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32625</dd><dt><span>proj:shape :</span></dt><dd>[10980, 10980]</dd><dt><span>proj:transform :</span></dt><dd>[10.0, 0.0, 499980.0, 0.0, -10.0, 8000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 25N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,-33],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32625&quot;]]</dd><dt><span>units :</span></dt><dd>digital_counts</dd><dt><span>valid_max :</span></dt><dd>65535</dd><dt><span>valid_min :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 919.80 MiB </td>\n",
+       "                        <td> 25.55 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (10980, 10980) </td>\n",
+       "                        <td> (1830, 1830) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 36 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
+       "                    </tr>\n",
+       "                </tbody>\n",
+       "            </table>\n",
+       "        </td>\n",
+       "        <td>\n",
+       "        <svg width=\"170\" height=\"170\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
+       "\n",
+       "  <!-- Horizontal lines -->\n",
+       "  <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n",
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+       "  <line x1=\"120\" y1=\"0\" x2=\"120\" y2=\"120\" style=\"stroke-width:2\" />\n",
+       "\n",
+       "  <!-- Colored Rectangle -->\n",
+       "  <polygon points=\"0.0,0.0 120.0,0.0 120.0,120.0 0.0,120.0\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
+       "\n",
+       "  <!-- Text -->\n",
+       "  <text x=\"60.000000\" y=\"140.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >10980</text>\n",
+       "  <text x=\"140.000000\" y=\"60.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,140.000000,60.000000)\">10980</text>\n",
+       "</svg>\n",
+       "        </td>\n",
+       "    </tr>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b08</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1830, 1830), meta=np.ndarray&gt;</div><input id='attrs-9b34abd3-faf3-4dcd-a480-6386b2034dfc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9b34abd3-faf3-4dcd-a480-6386b2034dfc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-50a2ed84-7712-4437-8f0a-4134ae9d798d' class='xr-var-data-in' type='checkbox'><label for='data-50a2ed84-7712-4437-8f0a-4134ae9d798d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;add_offset&#x27;: -0.1, &#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;dtype&#x27;: &#x27;&lt;u2&#x27;, &#x27;fill_value&#x27;: 0, &#x27;long_name&#x27;: &#x27;BOA reflectance from MSI acquisition at spectral band b08 833.0 nm&#x27;, &#x27;scale_factor&#x27;: 0.0001, &#x27;units&#x27;: &#x27;digital_counts&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u2</dd><dt><span>fill_value :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>BOA reflectance from MSI acquisition at spectral band b08 833.0 nm</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 7890240.0, 609780.0, 8000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32625</dd><dt><span>proj:shape :</span></dt><dd>[10980, 10980]</dd><dt><span>proj:transform :</span></dt><dd>[10.0, 0.0, 499980.0, 0.0, -10.0, 8000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 25N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,-33],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32625&quot;]]</dd><dt><span>units :</span></dt><dd>digital_counts</dd><dt><span>valid_max :</span></dt><dd>65535</dd><dt><span>valid_min :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -42722,83 +41240,45 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></div></li><li class='xr-section-item'><input id='section-b69ba1a1-6010-4d13-ac7d-78d6e78d6614' class='xr-section-summary-in' type='checkbox'  checked><label for='section-b69ba1a1-6010-4d13-ac7d-78d6e78d6614' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>499985 499995 ... 609765 609775</div><input id='attrs-12f42b22-40a0-46a2-9a24-4742577d9396' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-12f42b22-40a0-46a2-9a24-4742577d9396' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-89a83ef1-9e73-4eeb-a92b-bf379fc25309' class='xr-var-data-in' type='checkbox'><label for='data-89a83ef1-9e73-4eeb-a92b-bf379fc25309' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([499985, 499995, 500005, ..., 609755, 609765, 609775])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>5300035 5300025 ... 5190255 5190245</div><input id='attrs-3e2a3b53-cdc3-40ab-8ba2-9510bfd4f651' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-3e2a3b53-cdc3-40ab-8ba2-9510bfd4f651' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-94a482a3-792b-4751-8db5-98cecc087db1' class='xr-var-data-in' type='checkbox'><label for='data-94a482a3-792b-4751-8db5-98cecc087db1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([5300035, 5300025, 5300015, ..., 5190265, 5190255, 5190245])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-37d23800-c4b2-4552-abfc-274af8e58bbf' class='xr-section-summary-in' type='checkbox'  ><label for='section-37d23800-c4b2-4552-abfc-274af8e58bbf' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>x</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-fe07d1e1-3c0e-444b-baa2-09e28c2c595b' class='xr-index-data-in' type='checkbox'/><label for='index-fe07d1e1-3c0e-444b-baa2-09e28c2c595b' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([499985, 499995, 500005, 500015, 500025, 500035, 500045, 500055, 500065,\n",
+       "</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-0e1cfada-a18c-4bef-958b-31e40b6f3536' class='xr-section-summary-in' type='checkbox'  ><label for='section-0e1cfada-a18c-4bef-958b-31e40b6f3536' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>x</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-a916eae7-d0a6-4c6b-9d5c-3f6c025387b4' class='xr-index-data-in' type='checkbox'/><label for='index-a916eae7-d0a6-4c6b-9d5c-3f6c025387b4' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([499985, 499995, 500005, 500015, 500025, 500035, 500045, 500055, 500065,\n",
        "       500075,\n",
        "       ...\n",
        "       609685, 609695, 609705, 609715, 609725, 609735, 609745, 609755, 609765,\n",
        "       609775],\n",
-       "      dtype=&#x27;int64&#x27;, name=&#x27;x&#x27;, length=10980))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>y</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-c18f4b7c-44de-4677-b4d7-c11808e64060' class='xr-index-data-in' type='checkbox'/><label for='index-c18f4b7c-44de-4677-b4d7-c11808e64060' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([5300035, 5300025, 5300015, 5300005, 5299995, 5299985, 5299975, 5299965,\n",
-       "       5299955, 5299945,\n",
+       "      dtype=&#x27;int64&#x27;, name=&#x27;x&#x27;, length=10980))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>y</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-f1d50422-c91f-438a-a634-f1b93712b82a' class='xr-index-data-in' type='checkbox'/><label for='index-f1d50422-c91f-438a-a634-f1b93712b82a' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([8000035, 8000025, 8000015, 8000005, 7999995, 7999985, 7999975, 7999965,\n",
+       "       7999955, 7999945,\n",
        "       ...\n",
-       "       5190335, 5190325, 5190315, 5190305, 5190295, 5190285, 5190275, 5190265,\n",
-       "       5190255, 5190245],\n",
-       "      dtype=&#x27;int64&#x27;, name=&#x27;y&#x27;, length=10980))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-7f95aa8a-b3a4-469a-a74a-e0c6c1176c78' class='xr-section-summary-in' type='checkbox'  ><label for='section-7f95aa8a-b3a4-469a-a74a-e0c6c1176c78' class='xr-section-summary' >Attributes: <span>(12)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;add_offset&#x27;: -0.1, &#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;fill_value&#x27;: 0, &#x27;scale_factor&#x27;: 0.0001, &#x27;units&#x27;: &#x27;digital_counts&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u2</dd><dt><span>fill_value :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>BOA reflectance from MSI acquisition at spectral band b02 492.7 nm</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 5190240.0, 609780.0, 5300040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32632</dd><dt><span>proj:shape :</span></dt><dd>[10980, 10980]</dd><dt><span>proj:transform :</span></dt><dd>[10.0, 0.0, 499980.0, 0.0, -10.0, 5300040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 32N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,9],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32632&quot;]]</dd><dt><span>units :</span></dt><dd>digital_counts</dd><dt><span>valid_max :</span></dt><dd>65535</dd><dt><span>valid_min :</span></dt><dd>1</dd></dl></div></li></ul></div></div>"
+       "       7890335, 7890325, 7890315, 7890305, 7890295, 7890285, 7890275, 7890265,\n",
+       "       7890255, 7890245],\n",
+       "      dtype=&#x27;int64&#x27;, name=&#x27;y&#x27;, length=10980))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-2cddd018-2e38-4de7-b3a4-24cae2f9c796' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-2cddd018-2e38-4de7-b3a4-24cae2f9c796' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
       ],
       "text/plain": [
-       "<xarray.DataArray 'b02' (y: 10980, x: 10980)> Size: 964MB\n",
-       "dask.array<open_dataset-b02, shape=(10980, 10980), dtype=float64, chunksize=(1830, 1830), chunktype=numpy.ndarray>\n",
+       "<xarray.DatasetView> Size: 4GB\n",
+       "Dimensions:  (y: 10980, x: 10980)\n",
        "Coordinates:\n",
        "  * x        (x) int64 88kB 499985 499995 500005 500015 ... 609755 609765 609775\n",
-       "  * y        (y) int64 88kB 5300035 5300025 5300015 ... 5190265 5190255 5190245\n",
-       "Attributes:\n",
-       "    _eopf_attrs:     {'add_offset': -0.1, 'coordinates': ['x', 'y'], 'dimensi...\n",
-       "    dtype:           <u2\n",
-       "    fill_value:      0\n",
-       "    long_name:       BOA reflectance from MSI acquisition at spectral band b0...\n",
-       "    proj:bbox:       [499980.0, 5190240.0, 609780.0, 5300040.0]\n",
-       "    proj:epsg:       32632\n",
-       "    proj:shape:      [10980, 10980]\n",
-       "    proj:transform:  [10.0, 0.0, 499980.0, 0.0, -10.0, 5300040.0, 0.0, 0.0, 1.0]\n",
-       "    proj:wkt2:       PROJCS[\"WGS 84 / UTM zone 32N\",GEOGCS[\"WGS 84\",DATUM[\"WG...\n",
-       "    units:           digital_counts\n",
-       "    valid_max:       65535\n",
-       "    valid_min:       1"
-      ]
-     },
-     "execution_count": 5,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "ds.b02"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 6,
-   "id": "7c841237-9b8b-4665-95eb-354ec45c9388",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "<matplotlib.collections.QuadMesh at 0x2c85a906780>"
+       "  * y        (y) int64 88kB 8000035 8000025 8000015 ... 7890265 7890255 7890245\n",
+       "Data variables:\n",
+       "    b02      (y, x) float64 964MB dask.array<chunksize=(1830, 1830), meta=np.ndarray>\n",
+       "    b03      (y, x) float64 964MB dask.array<chunksize=(1830, 1830), meta=np.ndarray>\n",
+       "    b04      (y, x) float64 964MB dask.array<chunksize=(1830, 1830), meta=np.ndarray>\n",
+       "    b08      (y, x) float64 964MB dask.array<chunksize=(1830, 1830), meta=np.ndarray>"
       ]
      },
-     "execution_count": 6,
+     "execution_count": 14,
      "metadata": {},
      "output_type": "execute_result"
-    },
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 640x480 with 2 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
     }
    ],
    "source": [
-    "ds.b02.plot(vmin=0., vmax=0.3)"
+    "ds = dt.measurements.reflectance.r10m.ds\n",
+    "ds"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
-   "id": "4b80cb60-d95d-4eab-b1e1-7ab760824424",
+   "execution_count": 15,
+   "id": "c5c5bba2-37ae-4965-9922-9c3e9a666e7d",
    "metadata": {},
    "outputs": [
     {
@@ -43174,13 +41654,24 @@
        "  stroke: currentColor;\n",
        "  fill: currentColor;\n",
        "}\n",
-       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DatasetView&gt; Size: 3MB\n",
-       "Dimensions:  (y: 1830, x: 1830)\n",
+       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;b02&#x27; (y: 10980, x: 10980)&gt; Size: 964MB\n",
+       "dask.array&lt;open_dataset-b02, shape=(10980, 10980), dtype=float64, chunksize=(1830, 1830), chunktype=numpy.ndarray&gt;\n",
        "Coordinates:\n",
-       "  * x        (x) int64 15kB 500010 500070 500130 500190 ... 609630 609690 609750\n",
-       "  * y        (y) int64 15kB 5300010 5299950 5299890 ... 5190390 5190330 5190270\n",
-       "Data variables:\n",
-       "    scl      (y, x) uint8 3MB dask.array&lt;chunksize=(305, 305), meta=np.ndarray&gt;</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DatasetView</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-518909c6-e4ea-4a6b-b5e7-28fc232b0c29' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-518909c6-e4ea-4a6b-b5e7-28fc232b0c29' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>y</span>: 1830</li><li><span class='xr-has-index'>x</span>: 1830</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-2fa0b18f-1281-42b5-bf17-e5fbe7bb528e' class='xr-section-summary-in' type='checkbox'  checked><label for='section-2fa0b18f-1281-42b5-bf17-e5fbe7bb528e' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>500010 500070 ... 609690 609750</div><input id='attrs-ec10d664-28e7-4928-8a6b-b82f76513155' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-ec10d664-28e7-4928-8a6b-b82f76513155' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-09072ff7-6ceb-44f9-88b2-92301f7e3c9a' class='xr-var-data-in' type='checkbox'><label for='data-09072ff7-6ceb-44f9-88b2-92301f7e3c9a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([500010, 500070, 500130, ..., 609630, 609690, 609750])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>5300010 5299950 ... 5190330 5190270</div><input id='attrs-4abc4373-13de-4255-bb3b-e436b7f94d9f' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-4abc4373-13de-4255-bb3b-e436b7f94d9f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1b77fe63-a7fe-4e7d-aa71-4033482a7169' class='xr-var-data-in' type='checkbox'><label for='data-1b77fe63-a7fe-4e7d-aa71-4033482a7169' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([5300010, 5299950, 5299890, ..., 5190390, 5190330, 5190270])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-22300745-b926-40cc-9777-a4aaf8e27bd3' class='xr-section-summary-in' type='checkbox'  checked><label for='section-22300745-b926-40cc-9777-a4aaf8e27bd3' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>scl</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(305, 305), meta=np.ndarray&gt;</div><input id='attrs-86d4156b-71dd-4cc9-83c2-9f6015c2ca9d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-86d4156b-71dd-4cc9-83c2-9f6015c2ca9d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c5c401a2-c235-4ac5-96ff-3c4455ead457' class='xr-var-data-in' type='checkbox'><label for='data-c5c401a2-c235-4ac5-96ff-3c4455ead457' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;]}</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 5190240.0, 609780.0, 5300040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32632</dd><dt><span>proj:shape :</span></dt><dd>[1830, 1830]</dd><dt><span>proj:transform :</span></dt><dd>[60.0, 0.0, 499980.0, 0.0, -60.0, 5300040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 32N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,9],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32632&quot;]]</dd></dl></div><div class='xr-var-data'><table>\n",
+       "  * x        (x) int64 88kB 499985 499995 500005 500015 ... 609755 609765 609775\n",
+       "  * y        (y) int64 88kB 8000035 8000025 8000015 ... 7890265 7890255 7890245\n",
+       "Attributes:\n",
+       "    _eopf_attrs:     {&#x27;add_offset&#x27;: -0.1, &#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensi...\n",
+       "    dtype:           &lt;u2\n",
+       "    fill_value:      0\n",
+       "    long_name:       BOA reflectance from MSI acquisition at spectral band b0...\n",
+       "    proj:bbox:       [499980.0, 7890240.0, 609780.0, 8000040.0]\n",
+       "    proj:epsg:       32625\n",
+       "    proj:shape:      [10980, 10980]\n",
+       "    proj:transform:  [10.0, 0.0, 499980.0, 0.0, -10.0, 8000040.0, 0.0, 0.0, 1.0]\n",
+       "    proj:wkt2:       PROJCS[&quot;WGS 84 / UTM zone 25N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WG...\n",
+       "    units:           digital_counts\n",
+       "    valid_max:       65535\n",
+       "    valid_min:       1</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'b02'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>y</span>: 10980</li><li><span class='xr-has-index'>x</span>: 10980</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-468ed6e9-808f-4bd0-b9f5-805138ea2eec' class='xr-array-in' type='checkbox' checked><label for='section-468ed6e9-808f-4bd0-b9f5-805138ea2eec' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>dask.array&lt;chunksize=(1830, 1830), meta=np.ndarray&gt;</span></div><div class='xr-array-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -43195,14 +41686,14 @@
        "                    \n",
        "                    <tr>\n",
        "                        <th> Bytes </th>\n",
-       "                        <td> 3.19 MiB </td>\n",
-       "                        <td> 90.84 kiB </td>\n",
+       "                        <td> 919.80 MiB </td>\n",
+       "                        <td> 25.55 MiB </td>\n",
        "                    </tr>\n",
        "                    \n",
        "                    <tr>\n",
        "                        <th> Shape </th>\n",
+       "                        <td> (10980, 10980) </td>\n",
        "                        <td> (1830, 1830) </td>\n",
-       "                        <td> (305, 305) </td>\n",
        "                    </tr>\n",
        "                    <tr>\n",
        "                        <th> Dask graph </th>\n",
@@ -43210,7 +41701,7 @@
        "                    </tr>\n",
        "                    <tr>\n",
        "                        <th> Data type </th>\n",
-       "                        <td colspan=\"2\"> uint8 numpy.ndarray </td>\n",
+       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
        "                    </tr>\n",
        "                </tbody>\n",
        "            </table>\n",
@@ -43240,38 +41731,81 @@
        "  <polygon points=\"0.0,0.0 120.0,0.0 120.0,120.0 0.0,120.0\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
        "\n",
        "  <!-- Text -->\n",
-       "  <text x=\"60.000000\" y=\"140.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >1830</text>\n",
-       "  <text x=\"140.000000\" y=\"60.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,140.000000,60.000000)\">1830</text>\n",
+       "  <text x=\"60.000000\" y=\"140.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >10980</text>\n",
+       "  <text x=\"140.000000\" y=\"60.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,140.000000,60.000000)\">10980</text>\n",
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-d9e410fa-c6ab-4149-90ba-6ddff58780f9' class='xr-section-summary-in' type='checkbox'  ><label for='section-d9e410fa-c6ab-4149-90ba-6ddff58780f9' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>x</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-5f3b2786-ba5e-40f6-bd53-160b5d996ecc' class='xr-index-data-in' type='checkbox'/><label for='index-5f3b2786-ba5e-40f6-bd53-160b5d996ecc' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([500010, 500070, 500130, 500190, 500250, 500310, 500370, 500430, 500490,\n",
-       "       500550,\n",
+       "</table></div></div></li><li class='xr-section-item'><input id='section-4cde9bf8-35d0-40e1-96f1-934066afc32d' class='xr-section-summary-in' type='checkbox'  checked><label for='section-4cde9bf8-35d0-40e1-96f1-934066afc32d' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>499985 499995 ... 609765 609775</div><input id='attrs-866983e2-00db-4acd-b2ec-c463b2611864' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-866983e2-00db-4acd-b2ec-c463b2611864' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fdf69797-21ce-4394-a0bd-87c79f165649' class='xr-var-data-in' type='checkbox'><label for='data-fdf69797-21ce-4394-a0bd-87c79f165649' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([499985, 499995, 500005, ..., 609755, 609765, 609775], shape=(10980,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>8000035 8000025 ... 7890255 7890245</div><input id='attrs-9638eafb-df74-4a7f-b10c-965ff0e0c2fa' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-9638eafb-df74-4a7f-b10c-965ff0e0c2fa' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f9d21524-ad21-4166-837b-616b6edfcba1' class='xr-var-data-in' type='checkbox'><label for='data-f9d21524-ad21-4166-837b-616b6edfcba1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([8000035, 8000025, 8000015, ..., 7890265, 7890255, 7890245],\n",
+       "      shape=(10980,))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-dbad6fe3-ba9b-490e-aa2f-7f44d1efe129' class='xr-section-summary-in' type='checkbox'  ><label for='section-dbad6fe3-ba9b-490e-aa2f-7f44d1efe129' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>x</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-29cdaeb7-6c5b-47b3-baf4-9d6341d905ec' class='xr-index-data-in' type='checkbox'/><label for='index-29cdaeb7-6c5b-47b3-baf4-9d6341d905ec' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([499985, 499995, 500005, 500015, 500025, 500035, 500045, 500055, 500065,\n",
+       "       500075,\n",
        "       ...\n",
-       "       609210, 609270, 609330, 609390, 609450, 609510, 609570, 609630, 609690,\n",
-       "       609750],\n",
-       "      dtype=&#x27;int64&#x27;, name=&#x27;x&#x27;, length=1830))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>y</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-d502ae38-1ded-4c83-93d5-7d55d16f9111' class='xr-index-data-in' type='checkbox'/><label for='index-d502ae38-1ded-4c83-93d5-7d55d16f9111' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([5300010, 5299950, 5299890, 5299830, 5299770, 5299710, 5299650, 5299590,\n",
-       "       5299530, 5299470,\n",
+       "       609685, 609695, 609705, 609715, 609725, 609735, 609745, 609755, 609765,\n",
+       "       609775],\n",
+       "      dtype=&#x27;int64&#x27;, name=&#x27;x&#x27;, length=10980))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>y</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-1182c9c4-ca40-476f-94f9-a69a03dfc0f8' class='xr-index-data-in' type='checkbox'/><label for='index-1182c9c4-ca40-476f-94f9-a69a03dfc0f8' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([8000035, 8000025, 8000015, 8000005, 7999995, 7999985, 7999975, 7999965,\n",
+       "       7999955, 7999945,\n",
        "       ...\n",
-       "       5190810, 5190750, 5190690, 5190630, 5190570, 5190510, 5190450, 5190390,\n",
-       "       5190330, 5190270],\n",
-       "      dtype=&#x27;int64&#x27;, name=&#x27;y&#x27;, length=1830))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-6cf2d7f9-12a9-4c69-b188-977008396dbe' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-6cf2d7f9-12a9-4c69-b188-977008396dbe' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
+       "       7890335, 7890325, 7890315, 7890305, 7890295, 7890285, 7890275, 7890265,\n",
+       "       7890255, 7890245],\n",
+       "      dtype=&#x27;int64&#x27;, name=&#x27;y&#x27;, length=10980))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-b6bf7c2f-1a88-49e4-a466-026834face7d' class='xr-section-summary-in' type='checkbox'  ><label for='section-b6bf7c2f-1a88-49e4-a466-026834face7d' class='xr-section-summary' >Attributes: <span>(12)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>_eopf_attrs :</span></dt><dd>{&#x27;add_offset&#x27;: -0.1, &#x27;coordinates&#x27;: [&#x27;x&#x27;, &#x27;y&#x27;], &#x27;dimensions&#x27;: [&#x27;y&#x27;, &#x27;x&#x27;], &#x27;dtype&#x27;: &#x27;&lt;u2&#x27;, &#x27;fill_value&#x27;: 0, &#x27;long_name&#x27;: &#x27;BOA reflectance from MSI acquisition at spectral band b02 492.3 nm&#x27;, &#x27;scale_factor&#x27;: 0.0001, &#x27;units&#x27;: &#x27;digital_counts&#x27;}</dd><dt><span>dtype :</span></dt><dd>&lt;u2</dd><dt><span>fill_value :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>BOA reflectance from MSI acquisition at spectral band b02 492.3 nm</dd><dt><span>proj:bbox :</span></dt><dd>[499980.0, 7890240.0, 609780.0, 8000040.0]</dd><dt><span>proj:epsg :</span></dt><dd>32625</dd><dt><span>proj:shape :</span></dt><dd>[10980, 10980]</dd><dt><span>proj:transform :</span></dt><dd>[10.0, 0.0, 499980.0, 0.0, -10.0, 8000040.0, 0.0, 0.0, 1.0]</dd><dt><span>proj:wkt2 :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 25N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,-33],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32625&quot;]]</dd><dt><span>units :</span></dt><dd>digital_counts</dd><dt><span>valid_max :</span></dt><dd>65535</dd><dt><span>valid_min :</span></dt><dd>1</dd></dl></div></li></ul></div></div>"
       ],
       "text/plain": [
-       "<xarray.DatasetView> Size: 3MB\n",
-       "Dimensions:  (y: 1830, x: 1830)\n",
+       "<xarray.DataArray 'b02' (y: 10980, x: 10980)> Size: 964MB\n",
+       "dask.array<open_dataset-b02, shape=(10980, 10980), dtype=float64, chunksize=(1830, 1830), chunktype=numpy.ndarray>\n",
        "Coordinates:\n",
-       "  * x        (x) int64 15kB 500010 500070 500130 500190 ... 609630 609690 609750\n",
-       "  * y        (y) int64 15kB 5300010 5299950 5299890 ... 5190390 5190330 5190270\n",
-       "Data variables:\n",
-       "    scl      (y, x) uint8 3MB dask.array<chunksize=(305, 305), meta=np.ndarray>"
+       "  * x        (x) int64 88kB 499985 499995 500005 500015 ... 609755 609765 609775\n",
+       "  * y        (y) int64 88kB 8000035 8000025 8000015 ... 7890265 7890255 7890245\n",
+       "Attributes:\n",
+       "    _eopf_attrs:     {'add_offset': -0.1, 'coordinates': ['x', 'y'], 'dimensi...\n",
+       "    dtype:           <u2\n",
+       "    fill_value:      0\n",
+       "    long_name:       BOA reflectance from MSI acquisition at spectral band b0...\n",
+       "    proj:bbox:       [499980.0, 7890240.0, 609780.0, 8000040.0]\n",
+       "    proj:epsg:       32625\n",
+       "    proj:shape:      [10980, 10980]\n",
+       "    proj:transform:  [10.0, 0.0, 499980.0, 0.0, -10.0, 8000040.0, 0.0, 0.0, 1.0]\n",
+       "    proj:wkt2:       PROJCS[\"WGS 84 / UTM zone 25N\",GEOGCS[\"WGS 84\",DATUM[\"WG...\n",
+       "    units:           digital_counts\n",
+       "    valid_max:       65535\n",
+       "    valid_min:       1"
       ]
      },
-     "execution_count": 7,
+     "execution_count": 15,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
+   "source": [
+    "ds.b02"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "7c841237-9b8b-4665-95eb-354ec45c9388",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.collections.QuadMesh at 0x1fd311b1590>"
+      ]
+     },
+     "execution_count": 16,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "ds.b02.plot(vmin=0., vmax=0.3)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "4b80cb60-d95d-4eab-b1e1-7ab760824424",
+   "metadata": {},
+   "outputs": [],
    "source": [
     "ds = dt.conditions.mask.l2a_classification.r60m.ds\n",
     "ds"
@@ -43302,7 +41836,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.12.9"
+   "version": "3.13.2"
   }
  },
  "nbformat": 4,
diff --git a/integration/test_sen1_native.py b/integration/test_sen1_native.py
index 80c7cf3..e1c44f3 100644
--- a/integration/test_sen1_native.py
+++ b/integration/test_sen1_native.py
@@ -6,6 +6,7 @@
 
 import xarray as xr
 
+# TODO: adjust path to new locations
 bucket = "e05ab01a9d56408d82ac32d69a5aae2a:sample-data"
 path_prefix = "tutorial_data/cpm_v253"
 url_prefix = f"s3://{bucket}/{path_prefix}"
diff --git a/integration/test_sen2_analysis.py b/integration/test_sen2_analysis.py
index ac4a379..0ba4758 100644
--- a/integration/test_sen2_analysis.py
+++ b/integration/test_sen2_analysis.py
@@ -11,10 +11,11 @@
 from xarray_eopf.spatial import get_spatial_vars
 from xarray_eopf.utils import timeit
 
-bucket = "e05ab01a9d56408d82ac32d69a5aae2a:sample-data"
-path_prefix = "tutorial_data/cpm_v253"
-s3_prefix = f"s3://{bucket}/{path_prefix}"
-https_prefix = f"https://{DEFAULT_ENDPOINT_URL}/{bucket}/{path_prefix}"
+s02msil1c_bucket = "e05ab01a9d56408d82ac32d69a5aae2a:202504-s02msil1c"
+s02msil2a_bucket = "e05ab01a9d56408d82ac32d69a5aae2a:202504-s02msil2a"
+path_prefix = "15/products/cpm_v256"
+l1c_filename = "S2B_MSIL1C_20250415T142749_N0511_R139_T25WEV_20250415T180239.zarr"
+l2a_filename = "S2B_MSIL2A_20250415T142749_N0511_R139_T25WEV_20250415T181516.zarr"
 
 allowed_open_time = 5  # seconds
 show_chunking = False
@@ -22,16 +23,24 @@
 
 class Sentinel2AnalysisTest(TestCase):
     def test_open_dataset_sen2_l1c_s3(self):
-        self._test_open_dataset_sen2_l1c(s3_prefix)
+        self._test_open_dataset_sen2_l1c(f"s3://{s02msil1c_bucket}/{path_prefix}")
+
+    def test_open_dataset_sen2_l2a_s3(self):
+        self._test_open_dataset_sen2_l2a(f"s3://{s02msil2a_bucket}/{path_prefix}")
 
     def test_open_dataset_sen2_l1c_https(self):
-        self._test_open_dataset_sen2_l1c(https_prefix)
+        self._test_open_dataset_sen2_l1c(
+            f"{DEFAULT_ENDPOINT_URL}/{s02msil1c_bucket}/{path_prefix}"
+        )
 
-    def _test_open_dataset_sen2_l1c(self, url_prefix):
-        url = (
-            f"{url_prefix}/"
-            "S2B_MSIL1C_20250113T103309_N0511_R108_T32TLQ_20250113T122458.zarr"
+    def test_open_dataset_sen2_l2a_https(self):
+        self._test_open_dataset_sen2_l2a(
+            f"{DEFAULT_ENDPOINT_URL}/{s02msil2a_bucket}/{path_prefix}"
         )
+
+    def _test_open_dataset_sen2_l1c(self, url_prefix):
+        # See https://stac.browser.user.eopf.eodc.eu/collections/sentinel-2-l1c/items/S2B_MSIL1C_20250415T142749_N0511_R139_T25WEV_20250415T180239
+        url = f"{url_prefix}/{l1c_filename}"
         with timeit("open " + url) as result:
             # noinspection PyTypeChecker
             ds = xr.open_dataset(
@@ -51,17 +60,8 @@ def _test_open_dataset_sen2_l1c(self, url_prefix):
         for var_name in spatial_vars.keys():
             self.assertEqual((10980, 10980), ds[var_name].shape[-2:], msg=var_name)
 
-    def test_open_dataset_sen2_l2a_s3(self):
-        self._test_open_dataset_sen2_l2a(s3_prefix)
-
-    def test_open_dataset_sen2_l2a_https(self):
-        self._test_open_dataset_sen2_l2a(https_prefix)
-
     def _test_open_dataset_sen2_l2a(self, url_prefix):
-        url = (
-            f"{url_prefix}/"
-            "S2A_MSIL2A_20240101T102431_N0510_R065_T32TNT_20240101T144052.zarr"
-        )
+        url = f"{url_prefix}/{l2a_filename}"
         with timeit("open " + url) as result:
             # noinspection PyTypeChecker
             ds = xr.open_dataset(
@@ -83,3 +83,13 @@ def _test_open_dataset_sen2_l2a(self, url_prefix):
         assert_data_arrays_are_chunked(self, spatial_vars, verbose=show_chunking)
         for var_name in spatial_vars.keys():
             self.assertEqual((10980, 10980), ds[var_name].shape[-2:], msg=var_name)
+
+    def test_production(self):
+        url = (
+            "https://objectstore.eodc.eu:2222/"
+            "e05ab01a9d56408d82ac32d69a5aae2a:202504-s02msil2a/15/products/"
+            "cpm_v256/"
+            "S2B_MSIL2A_20250415T142749_N0511_R139_T25WEU_20250415T181516.zarr"
+        )
+        ds = xr.open_dataset(url, engine="eopf-zarr")
+        self.assertIsInstance(ds, xr.Dataset)
diff --git a/integration/test_sen2_native.py b/integration/test_sen2_native.py
index 524fd34..a8c5111 100644
--- a/integration/test_sen2_native.py
+++ b/integration/test_sen2_native.py
@@ -11,27 +11,43 @@
 from xarray_eopf.spatial import get_spatial_vars
 from xarray_eopf.utils import timeit
 
-bucket = "e05ab01a9d56408d82ac32d69a5aae2a:sample-data"
-path_prefix = "tutorial_data/cpm_v253"
-s3_prefix = f"s3://{bucket}/{path_prefix}"
-https_prefix = f"https://{DEFAULT_ENDPOINT_URL}/{bucket}/{path_prefix}"
+s02msil1c_bucket = "e05ab01a9d56408d82ac32d69a5aae2a:202504-s02msil1c"
+s02msil2a_bucket = "e05ab01a9d56408d82ac32d69a5aae2a:202504-s02msil2a"
+path_prefix = "15/products/cpm_v256"
+l1c_filename = "S2B_MSIL1C_20250415T142749_N0511_R139_T25WEV_20250415T180239.zarr"
+l2a_filename = "S2B_MSIL2A_20250415T142749_N0511_R139_T25WEV_20250415T181516.zarr"
 
 allowed_open_time = 5  # seconds
 
 
 class Sentinel2NativeTest(TestCase):
     def test_open_datatree_sen2_l1c_s3(self):
-        self._test_open_datatree_sen2_l1c(s3_prefix)
+        self._test_open_datatree_sen2_l1c(f"s3://{s02msil1c_bucket}/{path_prefix}")
+
+    def test_open_dataset_sen2_l1c_s3(self):
+        self._test_open_dataset_sen2_l1c(f"s3://{s02msil1c_bucket}/{path_prefix}")
+
+    def test_open_dataset_sen2_l2a_s3(self):
+        self._test_open_dataset_sen2_l2a(f"s3://{s02msil2a_bucket}/{path_prefix}")
 
     def test_open_datatree_sen2_l1c_https(self):
-        self._test_open_datatree_sen2_l1c(https_prefix)
+        self._test_open_datatree_sen2_l1c(
+            f"{DEFAULT_ENDPOINT_URL}/{s02msil1c_bucket}/{path_prefix}"
+        )
+
+    def test_open_dataset_sen2_l1c_https(self):
+        self._test_open_dataset_sen2_l1c(
+            f"{DEFAULT_ENDPOINT_URL}/{s02msil1c_bucket}/{path_prefix}"
+        )
+
+    def test_open_dataset_sen2_l2a_https(self):
+        self._test_open_dataset_sen2_l2a(
+            f"{DEFAULT_ENDPOINT_URL}/{s02msil2a_bucket}/{path_prefix}"
+        )
 
     def _test_open_datatree_sen2_l1c(self, url_prefix: str):
         # noinspection PyTypeChecker
-        url = (
-            f"{url_prefix}/"
-            f"S2B_MSIL1C_20250113T103309_N0511_R108_T32TLQ_20250113T122458.zarr"
-        )
+        url = f"{url_prefix}/{l1c_filename}"
         with timeit("open " + url) as result:
             # noinspection PyTypeChecker
             dt = xr.open_datatree(url, engine="eopf-zarr", op_mode="native", chunks={})
@@ -49,17 +65,8 @@ def _test_open_datatree_sen2_l1c(self, url_prefix: str):
         )
         assert_data_arrays_are_chunked(self, spatial_vars, verbose=True)
 
-    def test_open_datatree_sen2_l2a_s3(self):
-        self._test_open_datatree_sen2_l2a(s3_prefix)
-
-    def test_open_datatree_sen2_l2a_https(self):
-        self._test_open_datatree_sen2_l2a(https_prefix)
-
     def _test_open_datatree_sen2_l2a(self, url_prefix: str):
-        url = (
-            f"{url_prefix}/"
-            "S2A_MSIL2A_20240101T102431_N0510_R065_T32TNT_20240101T144052.zarr"
-        )
+        url = f"{url_prefix}/{l2a_filename}.zarr"
         with timeit("open " + url) as result:
             # noinspection PyTypeChecker
             dt = xr.open_datatree(url, engine="eopf-zarr", op_mode="native", chunks={})
@@ -77,17 +84,8 @@ def _test_open_datatree_sen2_l2a(self, url_prefix: str):
         )
         assert_data_arrays_are_chunked(self, spatial_vars, verbose=True)
 
-    def test_open_dataset_sen2_l1c_s3(self):
-        self._test_open_dataset_sen2_l1c(s3_prefix)
-
-    def test_open_dataset_sen2_l1c_https(self):
-        self._test_open_dataset_sen2_l1c(https_prefix)
-
     def _test_open_dataset_sen2_l1c(self, url_prefix: str):
-        url = (
-            f"{url_prefix}/"
-            "S2B_MSIL1C_20250113T103309_N0511_R108_T32TLQ_20250113T122458.zarr"
-        )
+        url = f"{url_prefix}/{l1c_filename}"
         with timeit(url) as result:
             # noinspection PyTypeChecker
             ds = xr.open_dataset(url, engine="eopf-zarr", op_mode="native", chunks={})
@@ -105,17 +103,8 @@ def _test_open_dataset_sen2_l1c(self, url_prefix: str):
         self.assertEqual(43, len(spatial_vars))
         assert_data_arrays_are_chunked(self, spatial_vars, verbose=True)
 
-    def test_open_dataset_sen2_l2a_s3(self):
-        self._test_open_dataset_sen2_l2a(s3_prefix)
-
-    def test_open_dataset_sen2_l2a_https(self):
-        self._test_open_dataset_sen2_l2a(https_prefix)
-
     def _test_open_dataset_sen2_l2a(self, url_prefix: str):
-        url = (
-            f"{url_prefix}/"
-            "S2A_MSIL2A_20240101T102431_N0510_R065_T32TNT_20240101T144052.zarr"
-        )
+        url = f"{url_prefix}/{l2a_filename}"
         with timeit(url) as result:
             # noinspection PyTypeChecker
             ds = xr.open_dataset(url, engine="eopf-zarr", op_mode="native", chunks={})
diff --git a/tests/test_source.py b/tests/test_source.py
new file mode 100644
index 0000000..d16df9d
--- /dev/null
+++ b/tests/test_source.py
@@ -0,0 +1,46 @@
+#  Copyright (c) 2025 by EOPF Sample Service team and contributors
+#  Permissions are hereby granted under the terms of the Apache 2.0 License:
+#  https://opensource.org/license/apache-2-0.
+from pathlib import Path
+from unittest import TestCase
+
+import fsspec
+import pytest
+import s3fs
+
+from xarray_eopf.source import normalize_source
+
+
+class NormalizeSourceTest(TestCase):
+    def test_s3_url(self):
+        url = "s3://no-bucket/test.zarr"
+        store = normalize_source(url, None)
+        self.assertIsInstance(store, fsspec.FSMap)
+        self.assertIsInstance(store.fs, s3fs.S3FileSystem)
+        self.assertEqual("no-bucket/test.zarr", store.root)
+
+    def test_ceph_s3_url(self):
+        ceph_url = "s3://no-bucket:e6f4/test.zarr"
+        store = normalize_source(ceph_url, None)
+        self.assertIsInstance(store, fsspec.FSMap)
+        self.assertIsInstance(store.fs, s3fs.S3FileSystem)
+        self.assertEqual("no-bucket:e6f4/test.zarr", store.root)
+
+    def test_https_url(self):
+        path = "https://unknown.object.storage.com/no-bucket/test.zarr"
+        source = normalize_source(path, None)
+        self.assertEqual(path, source)
+
+    def test_other(self):
+        mapping = {}
+        self.assertIs(mapping, normalize_source(mapping, None))
+
+        path = Path("data/test.zarr")
+        self.assertIs(path, normalize_source(path, None))
+
+    # noinspection PyMethodMayBeStatic
+    def test_fail(self):
+        with pytest.raises(
+            ValueError, match="storage_options argument applies only to paths or URLs"
+        ):
+            normalize_source({}, {})
diff --git a/tests/test_store.py b/tests/test_store.py
deleted file mode 100644
index 4e7d724..0000000
--- a/tests/test_store.py
+++ /dev/null
@@ -1,46 +0,0 @@
-#  Copyright (c) 2025 by EOPF Sample Service team and contributors
-#  Permissions are hereby granted under the terms of the Apache 2.0 License:
-#  https://opensource.org/license/apache-2-0.
-
-from unittest import TestCase
-
-import fsspec
-import pytest
-import s3fs
-
-from xarray_eopf.store import open_store
-
-
-class OpenStoreTest(TestCase):
-    def test_s3_url(self):
-        store = open_store("s3://no-bucket/test.zarr", None, None)
-        self.assertIsInstance(store, fsspec.FSMap)
-        self.assertIsInstance(store.fs, s3fs.S3FileSystem)
-
-    def test_ceph_s3_url(self):
-        store = open_store("s3://no-bucket:e6f4/test.zarr", None, None)
-        self.assertIsInstance(store, fsspec.FSMap)
-        self.assertIsInstance(store.fs, s3fs.S3FileSystem)
-
-    def test_https_url(self):
-        store = open_store(
-            "https://unknown.object.storage.com/no-bucket/test.zarr", None, None
-        )
-        self.assertIsInstance(store, fsspec.FSMap)
-        self.assertIsInstance(store.fs, fsspec.get_filesystem_class("http"))
-
-    def test_other(self):
-        filename_or_obj = {}
-        store = open_store(filename_or_obj, None, None)
-        self.assertIs(store, filename_or_obj)
-
-    # noinspection PyMethodMayBeStatic
-    def test_fail(self):
-        with pytest.raises(
-            ValueError, match="protocol argument applies only to paths or URLs"
-        ):
-            _store = open_store({}, "s3", None)
-        with pytest.raises(
-            ValueError, match="storage_options argument applies only to paths or URLs"
-        ):
-            _store = open_store({}, None, {})
diff --git a/xarray_eopf/backend.py b/xarray_eopf/backend.py
index c5672ba..c7ad71b 100644
--- a/xarray_eopf/backend.py
+++ b/xarray_eopf/backend.py
@@ -21,7 +21,7 @@
 )
 from .filter import filter_dataset
 from .flatten import flatten_datatree, flatten_datatree_as_dict
-from .store import open_store
+from .source import normalize_source
 from .utils import assert_arg_is_one_of
 
 
@@ -40,7 +40,6 @@ def open_datatree(
         *,
         op_mode: OpMode = OP_MODE_ANALYSIS,
         product_type: str | None = None,
-        protocol: str | None = None,
         storage_options: Mapping[str, Any] | None = None,
         drop_variables: str | Iterable[str] | None = None,
         decode_timedelta: (
@@ -59,10 +58,6 @@ def open_datatree(
                 Only used if `op_mode="analysis"`; typically not required
                 if the filename inherent to `filename_or_obj`
                 adheres to EOPF naming conventions.
-            protocol: If `filename_or_obj` is a file path or URL,
-                it forces using the specified filesystem protocol.
-                Otherwise, the protocol will be derived from the file path or URL.
-                Will be passed to [`fsspec.filesystem()`](https://filesystem-spec.readthedocs.io/en/latest/usage.html).
             storage_options: If `filename_or_obj` is a file path or URL,
                 these options specify the source filesystem.
                 Will be passed to [`fsspec.filesystem()`](https://filesystem-spec.readthedocs.io/en/latest/usage.html).
@@ -78,7 +73,7 @@ def open_datatree(
 
         assert_arg_is_one_of(op_mode, "op_mode", OP_MODES)
 
-        fs_store = open_store(filename_or_obj, protocol, storage_options)
+        fs_store = normalize_source(filename_or_obj, storage_options)
 
         datatree = xr.open_datatree(
             fs_store,
@@ -107,7 +102,6 @@ def open_dataset(
         *,
         op_mode: OpMode = OP_MODE_ANALYSIS,
         # params for op_mode=native/analysis
-        protocol: str | None = None,
         storage_options: Mapping[str, Any] | None = None,
         group_sep: str = "_",
         variables: str | Iterable[str] | None = None,
@@ -133,10 +127,6 @@ def open_dataset(
                 Only used if `op_mode="analysis"`; typically not required
                 if the filename inherent to `filename_or_obj`
                 adheres to EOPF naming conventions.
-            protocol: If `filename_or_obj` is a file path or URL,
-                it forces using the specified filesystem protocol.
-                Otherwise, the protocol will be derived from the file path or URL.
-                Will be passed to [`fsspec.filesystem()`](https://filesystem-spec.readthedocs.io/en/latest/usage.html).
             storage_options: If `filename_or_obj` is a file path or URL,
                 these options specify the source filesystem.
                 Will be passed to [`fsspec.filesystem()`](https://filesystem-spec.readthedocs.io/en/latest/usage.html).
@@ -167,7 +157,6 @@ def open_dataset(
         datatree = self.open_datatree(
             filename_or_obj,
             op_mode="native",
-            protocol=protocol,
             storage_options=storage_options,
             # here as it is required for all backends
             drop_variables=drop_variables,
diff --git a/xarray_eopf/source.py b/xarray_eopf/source.py
new file mode 100644
index 0000000..544c93f
--- /dev/null
+++ b/xarray_eopf/source.py
@@ -0,0 +1,60 @@
+#  Copyright (c) 2025 by EOPF Sample Service team and contributors
+#  Permissions are hereby granted under the terms of the Apache 2.0 License:
+#  https://opensource.org/license/apache-2-0.
+from pathlib import Path
+
+from collections.abc import Mapping
+from typing import Any
+
+import fsspec
+import s3fs
+
+from xarray_eopf.constants import DEFAULT_ENDPOINT_URL
+
+
+def normalize_source(source: Any, storage_options: Mapping[str, Any] | None) -> Any:
+    if isinstance(source, (str, Path)):
+        protocol, root = fsspec.core.split_protocol(source)
+        if protocol == "s3":
+            return _get_s3_store(root, storage_options)
+    else:
+        if storage_options is not None:
+            raise ValueError("storage_options argument applies only to paths or URLs")
+    return source
+
+
+def _get_s3_store(root: str, storage_options: Mapping[str, Any] | None) -> fsspec.FSMap:
+    # CEPH uses a non-standard colon to separate tenant name from
+    # the bucket name. We need to convince boto3 to work with that.
+    storage_options = storage_options or {}
+    is_ceph_fs = ":" in root
+    if (
+        "anon" not in storage_options
+        and "client" not in storage_options
+        and "secret" not in storage_options
+    ):
+        storage_options["anon"] = True
+    if (
+        is_ceph_fs
+        and "endpoint_url" not in storage_options
+        and "endpoint_url" not in storage_options.get("client_kwargs", {})
+    ):
+        storage_options["endpoint_url"] = DEFAULT_ENDPOINT_URL
+
+    s3_fs = s3fs.S3FileSystem(**storage_options)
+    if is_ceph_fs:
+        # The following is a hack to force boto3 to deal with colons
+        # in bucket names.
+        # First unregister handler to make boto3 work with CEPH
+        # noinspection PyProtectedMember
+        handlers = s3_fs.s3.meta.events._emitter._handlers
+        handlers_to_unregister = handlers.prefix_search("before-parameter-build.s3")
+        if len(handlers_to_unregister):
+            # The first handler should be the function 'validate_bucket_name()'
+            handler_to_unregister = handlers_to_unregister[0]
+            # noinspection PyProtectedMember
+            s3_fs.s3.meta.events._emitter.unregister(
+                "before-parameter-build.s3", handler_to_unregister
+            )
+
+    return s3_fs.get_mapper(root=root, create=False, check=False)
diff --git a/xarray_eopf/store.py b/xarray_eopf/store.py
deleted file mode 100644
index 8467b0a..0000000
--- a/xarray_eopf/store.py
+++ /dev/null
@@ -1,70 +0,0 @@
-#  Copyright (c) 2025 by EOPF Sample Service team and contributors
-#  Permissions are hereby granted under the terms of the Apache 2.0 License:
-#  https://opensource.org/license/apache-2-0.
-
-from collections.abc import Mapping
-from typing import Any
-
-import fsspec
-import s3fs
-
-from xarray_eopf.constants import DEFAULT_ENDPOINT_URL
-
-
-def open_store(
-    filename_or_obj: Any,
-    protocol: str | None,
-    storage_options: Mapping[str, Any] | None,
-) -> Any:
-    if isinstance(filename_or_obj, str):
-        return _open_fs_store(filename_or_obj, protocol, storage_options)
-    else:
-        if protocol is not None:
-            raise ValueError("protocol argument applies only to paths or URLs")
-        if storage_options is not None:
-            raise ValueError("storage_options argument applies only to paths or URLs")
-        return filename_or_obj
-
-
-def _open_fs_store(
-    path_or_url: str, protocol: str | None, storage_options: Mapping[str, Any] | None
-) -> fsspec.FSMap:
-    _protocol, root = fsspec.core.split_protocol(path_or_url)
-    protocol = protocol or _protocol or "file"
-    # CEPH uses a non-standard colon to separate tenant name from
-    # the bucket name. We need to convince boto3 to work with that.
-    storage_options = storage_options or {}
-    is_ceph_fs = False
-    if protocol == "s3":
-        is_ceph_fs = ":" in root
-        if (
-            "anon" not in storage_options
-            and "client" not in storage_options
-            and "secret" not in storage_options
-        ):
-            storage_options["anon"] = True
-        if (
-            is_ceph_fs
-            and "endpoint_url" not in storage_options
-            and "endpoint_url" not in storage_options.get("client_kwargs", {})
-        ):
-            storage_options["endpoint_url"] = DEFAULT_ENDPOINT_URL
-
-    fs = fsspec.filesystem(protocol, **storage_options)
-    if is_ceph_fs and isinstance(fs, s3fs.S3FileSystem):
-        # The following is a hack to force
-        # boto3 to deal with colons in bucket names
-        s3_fs: s3fs.S3FileSystem = fs
-        # unregister handler to make boto3 work with CEPH
-        # noinspection PyProtectedMember
-        handlers = s3_fs.s3.meta.events._emitter._handlers
-        handlers_to_unregister = handlers.prefix_search("before-parameter-build.s3")
-        if len(handlers_to_unregister):
-            # The first handler should be the function 'validate_bucket_name()'
-            handler_to_unregister = handlers_to_unregister[0]
-            # noinspection PyProtectedMember
-            s3_fs.s3.meta.events._emitter.unregister(
-                "before-parameter-build.s3", handler_to_unregister
-            )
-
-    return fs.get_mapper(root=root, create=False, check=False)